Methods and systems for predicting intraocular lens power and intraocular lens position in marfan syndrome eyes with subluxated lenses

Abstract

The present application relates to a kind of Marfan syndrome lens subluxation eye equivalent intraocular lens position and intraocular lens power prediction method and system, the prediction method and prediction system are based on equivalent intraocular lens position prediction model and vergence formula not based on anterior chamber depth and lens thickness, obtain the equivalent intraocular lens position of patient, recommended intraocular lens power and postoperative actual refraction and target refraction etc. Data such as the selection of intraocular lens power of patient can be used to guide. The advantage of the present application is that, while considering the postoperative equivalent intraocular lens position of Marfan syndrome patient with different axial length and the postoperative refraction prediction error, based on the biological parameters and gender characteristics of Marfan syndrome patient eye, the precise calculation of intraocular lens power is realized, the postoperative refraction error is effectively reduced, the more ideal postoperative refraction state is reached, so as to improve the satisfaction of patient.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of medical treatment, and in particular relates to a method and system for calculating the equivalent intraocular lens position and intraocular lens power when performing intra-capsular implantation of an intraocular lens in a Marfan syndrome lens subluxation eye based on a predicted equivalent intraocular lens position. BACKGROUND

[0002] Marfan syndrome is the most common hereditary connective tissue disease, with an incidence of about 1 in 10,000. About 60% of patients with Marfan syndrome will develop lens subluxation, which will manifest as varying degrees of refractive error, low vision, and even blindness. Lens extraction and intraocular lens implantation is currently the only effective cure. With the continuous improvement of surgical techniques, the use of (modified) capsular tension rings and capsular hooks for intraocular lens implantation has effectively reduced the incidence of postoperative vitreoretinal disease and improved postoperative vision.

[0003] There are many intraocular lens calculation formulas internationally, such as Barrett Universal II, Emmetropia Verifying Optical, SRK / T, etc. These existing calculation formulas have the following problems in clinical application:

[0004] 1. Various calculation formulas are based on different calculation models and principles, such as Barrett Universal II, which is based on a thick lens optical model, Emmetropia Verifying Optical, which is developed through AI artificial intelligence algorithms, and SRK / T, which is based on a thin lens optical model. Therefore, the intraocular lens data calculated by these calculation formulas for the same patient sample has accuracy differences;

[0005] 2. The existing formulas are mostly models developed by overseas researchers for senile cataract patients, while Marfan syndrome patients often have more flat corneas, longer eye axes, and dysplastic ciliary bodies due to FBN1 gene mutations, which are unique eye characteristics. The existing formulas are not effective for Marfan syndrome patients who receive intra-capsular implantation of an intraocular lens.

[0006] 3. Furthermore, due to incomplete lens dislocation, the lens position in patients with Marfan syndrome changes, making it impossible to accurately measure the preoperative lens thickness and anterior chamber depth. Incorrect lens thickness and anterior chamber depth measurements increase the prediction error of the equivalent lens position in existing intraocular lens (IOL) power calculation formulas. This equivalent lens position prediction error is a major source of error in IOL power prediction, resulting in significant errors in existing IOL calculation formulas and frequent postoperative refractive errors.

[0007] Postoperatively, excessive myopia often causes patients with Marfan syndrome to feel inferior, and in severe cases, it can even lead to a decrease in corrected visual acuity. On the other hand, excessive hyperopia makes it difficult for patients to perform close work and makes amblyopia training more difficult, which in turn affects the patient's willingness to undergo surgery for the second eye.

[0008] Currently, there is a lack of a suitable method for calculating intraocular lens (IOL) power for patients with incomplete lens dislocation due to Marfan syndrome. Therefore, there is an urgent need for a calculation tool that can accurately calculate the refractive changes after intraocular lens implantation in Marfan syndrome patients without relying on anterior chamber depth and lens thickness. This tool would help patients choose the appropriate IOL power to achieve the ideal long-term refractive state and increase patient and family satisfaction. Summary of the Invention

[0009] In view of the current situation regarding the calculation of intraocular lens (IOL) power in patients with congenital lens dislocation due to Marfan syndrome, this invention aims to provide a convenient method, system, device, storage medium, and computer program product that is independent of anterior chamber depth and lens thickness, applicable to the ocular characteristics of Marfan syndrome, and can accurately calculate the equivalent IOL position and power. This will help patients with congenital lens dislocation due to Marfan syndrome to more accurately calculate the equivalent IOL position and power, effectively reduce postoperative refractive errors, and achieve a more ideal postoperative refractive state.

[0010] Therefore, the first objective of this invention is to provide a method for predicting the position of an equivalent intraocular lens (IOL) in eyes with partial lens dislocation due to Marfan syndrome. This method uses an optimized equivalent IOL position prediction model to obtain predicted data for the position of the equivalent IOL. This model includes a long-axial-length equivalent IOL position prediction sub-model and a short-axial-length equivalent IOL position prediction sub-model.

[0011] The prediction method includes the following steps:

[0012] (1) Obtain patient preoperative data, which includes ocular biological parameters, demographic parameters, information on the intraocular lens to be implanted, and postoperative target refractive error R. obj One or more of the following;

[0013] (2) Determine whether the patient is using the long axial length equivalent intraocular lens position prediction sub-model or the short axial length equivalent intraocular lens position prediction sub-model;

[0014] (3) Based on the judgment in step (2) and the preoperative patient data obtained in step (1), the predicted postoperative theoretical equivalent intraocular lens position (ELP) is calculated using the equivalent intraocular lens position prediction model. T ;

[0015] Among them, the equivalent intraocular lens position prediction model was constructed based on a real-world database of Marfan syndrome patients through regression model analysis;

[0016] Preferably, the present invention provides an equivalent intraocular lens position prediction method for intraocular lens implantation in the capsular bag of eyes with lenticule dislocation due to Marfan syndrome.

[0017] Preferably, the patient's preoperative data in step (1) includes ocular biological parameters, demographic parameters, and information on the intraocular lens to be implanted.

[0018] Preferably, the ocular biological parameters in step (1) include the preoperative axial length AL, flat axis corneal curvature K1, steep axis corneal curvature K2, and corneal diameter WTW.

[0019] Preferably, demographic parameters include sex (G).

[0020] Preferably, the information on the intraocular lens to be implanted includes the model of the intraocular lens to be implanted.

[0021] Preferably, the feature parameters used in the equivalent intraocular lens position prediction model include one or more parameters selected from the following: preoperative axial length AL, corneal curvature radius CCR, corneal height H, corneal diameter WTW, sex G, and intraocular lens constant.

[0022] Preferably, step (2) specifically includes: when the preoperative axial length AL is greater than the sub-model judgment threshold, the long axial length equivalent intraocular lens position prediction sub-model is used for prediction; when the preoperative axial length AL is equal to or less than the sub-model judgment threshold, the short axial length equivalent intraocular lens position prediction sub-model is used for prediction.

[0023] Preferably, the sub-model judgment boundary value in step (2) is 24mm, and can fluctuate up or down by 10% based on this boundary value.

[0024] More preferably, the sub-model judgment boundary value in step (2) is approximately 24 mm.

[0025] More preferably, the sub-model judgment boundary value in step (2) is 24mm.

[0026] Preferably, the long axial length equivalent intraocular lens position prediction sub-model and the short axial length equivalent intraocular lens position prediction sub-model are constructed using different feature parameters. The feature parameters used in the long axial length equivalent intraocular lens position prediction sub-model include the preoperative axial length AL and the corneal curvature radius CCR; the feature parameters used in the short axial length equivalent intraocular lens position prediction sub-model include the corneal height H, the corneal diameter WTW, the preoperative axial length AL, and the gender G.

[0027] Preferred postoperative theoretical equivalent intraocular lens position (ELP) of the long axial length equivalent intraocular lens position prediction sub-model. T The calculation formula is:

[0028] ELP T = b1×AL+b2×CCR+b0;

[0029] Postoperative theoretical equivalent intraocular lens position (ELP) of the short axial length equivalent intraocular lens position prediction sub-model T The calculation formula is:

[0030] ELP T =a1×AL+a2×G+a3×H+a4×WTW+a0.

[0031] Among them, ELP T This is the theoretically equivalent position of the intraocular lens after surgery, in mm.

[0032] AL is the preoperative axial length of the eye, measured in mm;

[0033] G represents gender: G is 0 when the patient is female and 1 when the patient is male.

[0034] H is the corneal height, measured in mm;

[0035] WTW is the corneal diameter, measured in mm.

[0036] CCR is the corneal curvature radius, measured in mm, and is calculated from the flat-axis corneal curvature K1 and the steep-axis corneal curvature K2.

[0037] a0, a1, a2, a3, a4 and b0, b1, b2 are the constants of the artificial lens.

[0038] Preferably, the postoperative theoretical equivalent intraocular lens (ELP) position prediction model is used to predict the position of the intraocular lens. T The calculation formula is:

[0039]

[0040] The intraocular lens constant is obtained based on the model of the intraocular lens to be implanted.

[0041] Preferably, the intraocular lens constant can be used for common intraocular lens models.

[0042] Preferably, common intraocular lens models include, but are not limited to, one or more selected from TECNIS PCB00, TECNIS ZCB00, TECNISDCB00, TECNIS ICB00, AcrySof IQ SN60AT, and AcrySof IQ SN60WF.

[0043] Preferably, when the intraocular lens model is TECNIS ZCB00, PCB00, DCB00 or ICB00, the intraocular lens constants are a0 = -0.070, a1 = 0.337, a2 = 0.375, a3 = 1.612, a4 = -0.537, b0 = 4.516, b1 = 0.371, b2 = -0.998; when the intraocular lens model is AcrySof IQ SN60AT or SN60WF, the intraocular lens constants are a0 = 1.344, a1 = 0.467, a2 = 0.072, a3 = 3.540, a4 = -1.233, b0 = 8.267, b1 = 0.275, b2 = -1.141.

[0044] Preferably, the formula for calculating the corneal radius of curvature (CCR) in the equivalent intraocular lens position prediction model is as follows:

[0045]

[0046] Where CCR is the patient's corneal curvature radius in mm; K1 is the patient's flat-axis corneal curvature in D; and K2 is the patient's steep-axis corneal curvature in D.

[0047] Preferably, the formula for calculating corneal height H in the equivalent intraocular lens position prediction model is as follows:

[0048]

[0049] Where H is the patient's corneal height in mm; CCR is the patient's corneal radius of curvature in mm; and WTW is the patient's corneal diameter in mm.

[0050] The second objective of this invention is to provide a method for constructing an equivalent intraocular lens position prediction model for eyes with partial lens dislocation in Marfan syndrome, comprising the following steps:

[0051] Step 1: Establish a real-world database based on information from Marfan syndrome patients who underwent intraocular lens implantation.

[0052] Preferably, the patient information in the aforementioned database includes one or more of the following: patient baseline data, patient preoperative ocular biological parameters, patient refraction examination, demographic parameters, and information on implanted intraocular lenses.

[0053] Preferably, the database includes the patient's preoperative ocular biological parameters, patient refraction examination, demographic parameters, and information on the implanted intraocular lens.

[0054] Preferably, the patient's basic data includes one or more parameters selected from date of birth, date of examination, and eye type.

[0055] Preferably, the preoperative ocular biological parameters include one or more parameters selected from the following: preoperative axial length AL, preoperative corneal diameter WTW, preoperative flat-axis corneal curvature K1, preoperative steep-axis corneal curvature K2, preoperative anterior chamber depth ACD, and preoperative lens thickness LT.

[0056] Preferably, the demographic parameters include one or more parameters selected from the patient's age (Age) and gender (G).

[0057] Preferably, the patient's refraction examination includes refractive errors R selected from the patient's refraction measurements taken 1-3 months post-surgery. test One or more parameters in the postoperative best corrected visual acuity (BCVA).

[0058] Preferably, the implanted intraocular lens information includes the model of the implanted intraocular lens and the IOL power of the implanted intraocular lens. power One or more parameters in the table.

[0059] Step 2: Based on the convergence-divergence formula, the postoperative equivalent intraocular lens position of the patient is deduced.

[0060] Preferably, the above formula for convergence / divergence is as follows:

[0061]

[0062] ELP is the preoperatively predicted equivalent intraocular lens position, measured in mm.

[0063] R x This refers to the refractive error of patients scheduled for postoperative refraction, expressed in Digits (D).

[0064] n is the refractive index of the aqueous humor or vitreous humor, and the refractive index of the aqueous humor or vitreous humor is 1.3375, without units;

[0065] AL is the preoperative axial length of the eye, measured in mm;

[0066] K is the patient's preoperative mean corneal curvature, in D, which is the harmonic mean of the flat-axis corneal curvature K1 and the steep-axis corneal curvature K2, calculated from K1 and K2.

[0067] V is the distance between the lenses, the value is 12, and the unit is mm.

[0068] IOL power It refers to the power of the implanted intraocular lens, measured in diopters (D).

[0069] Furthermore, based on the above convergence-divergence formula, a reverse formula for estimating the equivalent intraocular lens (IOL) position is derived. Using this reverse formula, the ELP position of the equivalent IOL is obtained. r .

[0070] The preferred formula for calculating the equivalent intraocular lens position is as follows:

[0071]

[0072] Among them ELP r To estimate the equivalent intraocular lens position, the unit is mm;

[0073] R test This refers to the patient's refractive error measured 1-3 months post-surgery, in Digits (D).

[0074] AL is the preoperative axial length of the eye, measured in mm;

[0075] K is the patient's preoperative mean corneal curvature, in D, which is the harmonic mean of the flat-axis corneal curvature K1 and the steep-axis corneal curvature K2, calculated from K1 and K2.

[0076] n is the refractive index of the aqueous humor or vitreous humor, which is 1.3375 and has no unit.

[0077] V is the distance between the lenses, the value is 12, and the unit is mm;

[0078] IOL power It is the diopter of the intraocular lens implanted in the patient, measured in diopters (D).

[0079] Step 3: Based on the data obtained in Step 2, divide it into training set and test set in a 7:3 ratio.

[0080] The data obtained from the aforementioned real-world database will be divided into a training set and a test set in a 7:3 ratio.

[0081] Step 4: Construct and test the above prediction model using the training set and the test set respectively.

[0082] Preferably, step four specifically includes:

[0083] Patients with different axial lengths were divided into groups based on the preoperative axial length being equal to the sub-model's judgment threshold. Using the training set mentioned above, characteristic parameters related to the position of the equivalent intraocular lens were analyzed for patients whose axial length was greater than or less than the sub-model's judgment threshold. These characteristic parameters included one or more of the patient's preoperative ocular biological parameters and / or one or more of the patient's demographic characteristic parameters.

[0084] For patients whose axial length is greater than the sub-model judgment threshold and those whose axial length is less than or equal to the sub-model judgment threshold, respectively, a long axial length equivalent intraocular lens position prediction sub-model and a short axial length equivalent intraocular lens position prediction sub-model were established. The above equivalent intraocular lens position prediction model was constructed by applying a generalized multiple linear regression model.

[0085] The prediction model was tested and evaluated using the test set described above.

[0086] Preferably, the sub-model judgment boundary value is 24mm, and it can fluctuate up or down by 10% based on this boundary value.

[0087] More preferably, the sub-model judgment boundary value is approximately 24 mm.

[0088] More preferably, the sub-model judgment boundary value is 24mm.

[0089] Preferably, the analysis in step four uses univariate analysis and generalized multiple linear regression analysis.

[0090] Among them, the postoperative theoretical equivalent intraocular lens position (ELP) of the above-mentioned long axial length equivalent intraocular lens position prediction sub-model. T The calculation formula is:

[0091] ELP T = b1×AL+b2×CCR+b0;

[0092] The postoperative theoretical equivalent intraocular lens position (ELP) of the above-mentioned short axial length equivalent intraocular lens position prediction sub-model. T The calculation formula is:

[0093] ELP T =a1×AL+a2×G+a3×H+a4×WTW+a0.

[0094] Among them, ELP TAL is the theoretically equivalent intraocular lens position after surgery, in mm; G is the preoperative axial length, in mm; H is the patient's gender: G is 0 for females and 1 for males; WTW is the patient's corneal height, in mm; CCR is the patient's corneal radius of curvature, in mm, calculated from the flat-axis corneal curvature K1 and the steep-axis corneal curvature K2.

[0095] More preferably, the formula for calculating the postoperative theoretical equivalent intraocular lens position prediction model obtained according to the above construction method is as follows:

[0096]

[0097] Preferably, the formula for calculating the corneal radius of curvature (CCR) of the prediction model is as follows:

[0098]

[0099] Where CCR is the patient's corneal curvature radius in mm; K1 is the patient's flat-axis corneal curvature in D; and K2 is the patient's steep-axis corneal curvature in D.

[0100] Preferably, the formula for calculating corneal height H in the prediction model is as follows:

[0101]

[0102] Where H is the patient's corneal height in mm; CCR is the patient's corneal radius of curvature in mm; and WTW is the patient's corneal diameter in mm.

[0103] Preferably, the present invention provides a method for constructing an equivalent intraocular lens position prediction model for intraocular lens implantation in Marfan syndrome lens dislocation eye capsular bag surgery.

[0104] A third objective of this invention is to provide a method for predicting the refractive power of an intraocular lens in patients with Marfan syndrome-related lens dislocation, comprising the following steps:

[0105] 1) Using the above-mentioned equivalent intraocular lens position prediction method, the postoperative theoretical equivalent intraocular lens position (ELP) is obtained. T ;

[0106] 2) Obtain the corneal radius of curvature (CCR) according to the corneal radius of curvature calculation formula in the equivalent intraocular lens position prediction method;

[0107] 3) Set the postoperative target refractive power R obj ;

[0108] 4) Based on the postoperative target refractive error Robj To obtain the calculated IOL power of the intraocular lens to be implanted. power-cal ,

[0109] The required intraocular lens power (IOL) is calculated using the following formula. power-cal :

[0110]

[0111] Z1 represents the equivalent refractive power generated by the refractive medium at the equivalent intraocular lens position in the corneal or spectacle plane.

[0112] When the postoperative target refractive power R obj When the value is 0.00D, the refractive power of the spectacle plane is zero. Therefore, it is unnecessary to calculate the equivalent refractive power generated by the refractive medium at the equivalent intraocular lens position. Z1 is calculated using the following formula:

[0113]

[0114] When the postoperative target refractive power R obj When the value is not 0.00D, it is necessary to calculate the equivalent refractive power produced by the refractive medium at the equivalent intraocular lens position of the spectacle plane. Z1 is calculated according to the following formula:

[0115]

[0116] IOL power-cal This is the calculated power of the intraocular lens to be implanted, in Digits (D).

[0117] ELP T This is the theoretically equivalent position of the intraocular lens after surgery, in mm.

[0118] AL is the preoperative axial length of the eye, measured in mm;

[0119] R obj It is the postoperative target refractive power, measured in Digits (D).

[0120] CCR is the patient's corneal curvature radius, measured in mm;

[0121] V is the distance between the lenses, the value is 12, and the unit is mm.

[0122] Preferably, the present invention provides a method for predicting the refractive power of an intraocular lens (IOL) for intraocular lens implantation in Marfan syndrome-related lens dislocation.

[0123] Preferably, the above prediction method further includes obtaining the recommended intraocular lens power (IOL). power-rec And simulated intraocular lens power (IOL) power-sim .

[0124] Recommended intraocular lens power (IOL) power-rec It is N or N.50D, where N is an integer, and the recommended intraocular lens power (IOL) is... power-rec Take the calculated IOL value from N or N.50D, which corresponds to the power of the intraocular lens to be implanted. power-cal The closest value;

[0125] The calculated value of the IOL (intraocular lens power) to be implanted. power-cal Compared with the recommended intraocular lens power (IOL) power-rec If the absolute values ​​of the difference between N and N.50D are the same, then the recommended intraocular lens power is N and N.50D.

[0126] Preferably, N is an integer greater than or equal to 0.

[0127] Simulated intraocular lens power (IOL) power-sim Recommended intraocular lens power (IOL) power-rec The intraocular lens power was obtained by adding +1.50D, +1.00D, +0.50D, -0.50D, -1.00D, and -1.50D respectively.

[0128] The fourth objective of this invention is to provide a method for predicting the actual refractive error after surgery in eyes with partial lens dislocation due to Marfan syndrome, comprising the following steps:

[0129] Recommended intraocular lens power (IOL) obtained based on the method for predicting intraocular lens power. power-rec Or simulated intraocular lens power (IOL) power-sim The actual postoperative refractive error R is obtained using the following formula. rec :

[0130]

[0131] Among them, when calculating the recommended intraocular lens power IOL power-rec Postoperative actual refractive error R rec hour,

[0132]

[0133] When calculating the simulated intraocular lens power IOL power-sim Postoperative actual refractive error R rec hour,

[0134]

[0135] IOL power-rec This is the recommended intraocular lens power, measured in Digits (D). power-simThis is the simulated intraocular lens power, in Digits (D); AL is the preoperative axial length, in millimeters (mm); R... rec Postoperative refractive error is measured in diopters (D); V is the interocular distance (IoD), expressed as 12 mm; Z2 is the equivalent refractive power of the implanted intraocular lens on the corneal plane, measured in D; CCR is the corneal radius of curvature, measured in mm; ELP T This is the theoretically equivalent position of the intraocular lens after surgery, in mm.

[0136] Preferably, the present invention provides a method for predicting the actual postoperative refractive error in patients with incomplete lens dislocation due to Marfan syndrome and intraocular lens implantation in the capsular bag.

[0137] The fifth objective of this invention is to provide an equivalent intraocular lens position prediction system for eyes with partial lens dislocation in Marfan syndrome. This prediction system employs an equivalent intraocular lens position prediction method or executes an equivalent intraocular lens position prediction model constructed by a method for constructing an equivalent intraocular lens position prediction model.

[0138] Preferably, the present invention provides an equivalent intraocular lens position prediction system for intraocular lens implantation in Marfan syndrome lens dislocation eyes.

[0139] The sixth objective of this invention is to provide an intraocular lens power prediction system for eyes with partial lens dislocation in Marfan syndrome. This prediction system employs an equivalent intraocular lens position prediction method or executes an equivalent intraocular lens position prediction model constructed by a method for constructing an equivalent intraocular lens position prediction model.

[0140] Preferably, the present invention provides an intraocular lens power prediction system for intraocular lens implantation in Marfan syndrome lens dislocation eye.

[0141] Furthermore, the aforementioned prediction system includes an input module, a judgment module, a calculation module, and an output module, wherein:

[0142] The input module is used to input preoperative patient data, including patient baseline data, ocular biological parameters, demographic parameters, and postoperative target refractive error R. obj And information on the intraocular lens to be implanted;

[0143] The judgment module executes the judgment step in the equivalent intraocular lens position prediction method to determine whether the patient uses the long axial length equivalent intraocular lens position prediction sub-model or the short axial length equivalent intraocular lens position prediction sub-model.

[0144] The calculation module includes an equivalent intraocular lens (IOL) position calculation module, which executes the equivalent IOL position prediction model in the equivalent IOL position prediction method to obtain the postoperative theoretical equivalent IOL position (ELP). T ;

[0145] Preferably, the calculation module further includes an intraocular lens (IOL) power calculation module, which executes an IOL power prediction method to obtain a recommended IOL power. power-rec And simulated intraocular lens power (IOL) power-sim And to implement a method for predicting the patient's actual postoperative refractive error to obtain the postoperative actual refractive error R. rec ;

[0146] The output module includes displaying and / or outputting the postoperative target refractive power R. obj Recommended intraocular lens power (IOL) power-rec and its corresponding postoperative actual refractive error R rec And / or display simulated intraocular lens power (IOL). power-sim and its corresponding postoperative actual refractive error R rec ;

[0147] Preferably, the output module includes further displaying and / or outputting the patient's preoperative data, and / or calculating the data from the module.

[0148] Preferably, the output module outputs in PDF file format.

[0149] Preferably, the output module further includes a display module and a report output module, the display module being used to display the postoperative target refractive error R. obj Recommended intraocular lens power (IOL) power-rec and its corresponding postoperative actual refractive error R rec And / or display simulated intraocular lens power (IOL). power-sim and its corresponding postoperative actual refractive error R rec ;

[0150] The report output module is used to output reports, which display the patient's preoperative data, data from the calculation module, and / or the display module.

[0151] Preferably, the patient's basic data includes the patient's name, eye (left or right eye), date of birth, and date of examination;

[0152] Ocular biological parameters include preoperative axial length (AL), flat-axis corneal curvature (K1), steep-axis corneal curvature (K2), and corneal diameter (WTW).

[0153] Demographic parameters include one or more parameters selected from sex (G) and age (Age).

[0154] More preferably, demographic parameters include sex (G).

[0155] Preferably, the information on the intraocular lens to be implanted includes the model of the intraocular lens to be implanted.

[0156] Preferably, the prediction system uses the short axial length equivalent intraocular lens position prediction sub-model for patients whose axial length is less than or equal to the sub-model's judgment threshold, based on the preoperative axial length data input in the input module; and uses the long axial length equivalent intraocular lens position prediction sub-model for patients whose axial length is greater than the sub-model's judgment threshold.

[0157] Furthermore, the aforementioned calculation module is based on the R language and written using the convergence-divergence formula as a blueprint.

[0158] Furthermore, the above calculation module includes built-in intraocular lens constant parameters corresponding to the type of intraocular lens used by patients with Marfan syndrome.

[0159] Preferably, the intraocular lens model includes, but is not limited to, one or more selected from TECNIS PCB00, TECNIS ZCB00, TECNISDCB00, TECNIS ICB00, AcrySof IQ SN60AT, and AcrySof IQ SN60WF.

[0160] Furthermore, the intraocular lens constant can be used for the aforementioned intraocular lens models;

[0161] Preferably, the prediction system includes a visible carrier, a web-based calculator, or a mini-program;

[0162] Preferably, the prediction system is a web-based calculator.

[0163] The seventh objective of this invention is to provide a computer-readable storage medium storing a computer program that implements the steps of an equivalent intraocular lens position prediction method or an intraocular lens power prediction method.

[0164] The eighth objective of this invention is to provide a computer device, including a computer-readable storage medium, a central processing unit, an input device, and an output device, wherein the processor executes a computer program on the computer-readable storage medium to implement the steps of an equivalent intraocular lens position prediction method or an intraocular lens power prediction method.

[0165] The ninth objective of this invention is to provide a computer program product, including a computer program, wherein when the computer program is executed by a processor, it implements the steps of an equivalent intraocular lens position prediction method or an intraocular lens power prediction method.

[0166] The tenth objective of this invention is to provide a method for using a system for predicting the refractive power of an intraocular lens in Marfan syndrome-related lens dislocation, the method comprising the following steps:

[0167] S1. Input the patient's preoperative data;

[0168] S2. Click Calculate;

[0169] S3. Read the calculation results;

[0170] S4. Click to download and obtain the PDF report file.

[0171] Preferably, the patient's preoperative data includes data selected from the patient's baseline data, ocular biological parameters, demographic parameters, and postoperative target refractive error R. obj One or more of the information regarding the proposed implanted intraocular lens.

[0172] Preferably, the patient's basic data includes the patient's name, eye (left or right eye), date of birth, and date of examination.

[0173] Preferably, the ocular biological parameters include preoperative axial length AL, flat axis corneal curvature K1, steep axis corneal curvature K2, and corneal diameter WTW.

[0174] Preferably, demographic parameters include the sex (G) parameter.

[0175] Preferably, the present invention provides a method for using a system for predicting the refractive power of an intraocular lens (IOL) in intraocular lens implantation in Marfan syndrome-related lens dislocation.

[0176] The present invention has the following beneficial effects:

[0177] 1. The method for predicting intraocular lens power in Marfan syndrome-related lens dislocation eyes based on predicting the equivalent intraocular lens position of the present invention can improve the accuracy of intraocular lens power calculation in Marfan syndrome patients.

[0178] 2. The prediction method and system of this invention are applicable to the calculation of intraocular lens (IOL) power in patients with Marfan syndrome of all ages. Currently, the most accurate published method internationally is the Barrett Universal II formula; however, due to the impact of lens dislocation on lens thickness measurement, this formula has poor accuracy in patients with Marfan syndrome. This invention uses a convergence-divergence formula to retrospectively calculate the postoperative equivalent IOL position and establishes prediction models for patients with axial lengths greater than 24mm and less than or equal to 24mm, improving the accuracy of postoperative IOL power calculation. In the Barrett Universal II formula, 70.2% of patients have a refractive error within 1.00D, while the proportion of patients with a refractive error within 1.00D described in this invention is 83.5%.

[0179] Furthermore, this invention is simple to operate and easy to use in clinical practice.

[0180] 3. Compared with traditional construction methods, this invention uses an independent test set for testing and verification during the construction of the prediction model, which can effectively improve the prediction accuracy of the model and thus provide more reliable and accurate conclusions.

[0181] 4. The error between the predicted postoperative actual refractive error and the target refractive error is smaller than that of existing formulas. The prediction model is automatically selected based on the patient's gender and axial length, further improving the calculation accuracy for patients with Marfan syndrome.

[0182] 5. Based on the prediction model of equivalent intraocular lens position, this invention combines the unique ocular characteristic parameters and gender parameters of Marfan syndrome patients, and can accurately calculate the intraocular lens power of Marfan syndrome patients without relying on unreliable preoperative measurement data such as anterior chamber depth and lens thickness.

[0183] 6. This invention improves prediction accuracy and can be used to guide patients in selecting the power of intraocular lenses before surgery, thereby making the long-term refractive power closer to the ideal value, which helps to improve the patient's visual quality and has high clinical application value.

[0184] 7. This invention can further rely on the Internet platform to provide users with online calculation services, provide patients, doctors, researchers and others worldwide with a method for calculating the power of intraocular lenses applicable to patients with Marfan syndrome, provide more convenient research tools, and make up for the differences in the level of diagnosis and treatment of different medical institutions in different regions, thereby benefiting more patients with Marfan syndrome.

[0185] 8. This invention can be used to calculate the intraocular lens power in patients with incomplete lens dislocation due to Marfan syndrome who are scheduled to have an intraocular lens implanted in their circumferential bag. It automatically incorporates the lens parameters of commonly used intraocular lens models for lens dislocation. The calculation results for different models of intraocular lenses can be retrieved simply by selecting on the left side of the output interface. It is applicable to different models of intraocular lenses and is convenient for use in scientific research, clinical practice, and other fields.

[0186] 9. The predictive model of this invention has good adaptability and can be continuously trained and optimized based on new data obtained from clinical use and long-term follow-up observations, incrementally learning to further improve the accuracy of prediction.

[0187] 10. The calculation software of this invention has its own formulas and independent code, is not subject to other restrictions, and can be used and updated independently.

[0188] 11. The present invention provides a web-based calculator for intraocular lens power in Marfan syndrome lens incomplete dislocation eyes based on the postoperative equivalent intraocular lens position. The calculator has a simple interface, is easy to operate, and is convenient to use.

[0189] This invention analyzes the equivalent intraocular lens (IOL) position after intraocular lens implantation in patients with Marfan syndrome in the real world, constructs an equivalent IOL position prediction model, and finds that the equivalent IOL position in patients with Marfan syndrome is closely related to the patient's preoperative ocular biological parameters, and the influencing factors of the equivalent IOL position are different for patients with different axial lengths. Attached Figure Description

[0190] Figure 1 A schematic flowchart of the equivalent intraocular lens position prediction method of the present invention.

[0191] Figure 2 Correlation analysis matrix between equivalent intraocular lens position and preoperative ocular biological parameters.

[0192] Figure 3 Correlation analysis of equivalent intraocular lens position and gender; Figure (A) shows the correlation analysis of equivalent intraocular lens position and gender for axial length less than or equal to the sub-model judgment threshold, and Figure (B) shows the correlation analysis of equivalent intraocular lens position and gender for axial length greater than the sub-model judgment threshold.

[0193] Figure 4 A schematic diagram illustrating the construction process of the prediction system of this invention.

[0194] Figure 5 A schematic diagram illustrating the construction process of the web calculator of this invention.

[0195] Figure 6 A schematic diagram of the operation flow of the prediction system of this invention.

[0196] Figure 7 The patient refractive error prediction performance of this invention compared to traditional formulas. Detailed Implementation

[0197] The present invention will be further described below with reference to specific embodiments. It should be understood that the following embodiments and accompanying drawings are for illustrative purposes only and are not intended to limit the scope of the invention. Methods not specifically described in the following embodiments are generally performed under conventional conditions or according to clinical guidelines. The embodiments should not be considered as limitations on the invention, but any improvements made based on the spirit of the invention should be within the scope of protection of the invention.

[0198] Definitions:

[0199] Marfan syndrome is caused by a mutation in the fibrillin 1 (FBN1) gene, leading to systemic developmental abnormalities. Common symptoms include slender limbs and a long, thin body, and conditions such as aortic aneurysm, aortic dissection, and lens dislocation.

[0200] Congenital lens dislocation: Gene mutations cause the suspensory ligaments of the lens to lose their normal fibrous structure, resulting in laxity or even rupture of the suspensory ligaments, leading to decreased vision or even blindness. 80% of these cases are patients with Marfan syndrome.

[0201] Intraocular lens (IOL) is a precision optical component surgically implanted into the eye to replace the removed, cloudy lens.

[0202] In-the-bag IOL implantation is a surgical procedure that involves implanting an intraocular lens (IOL) into the patient's capsular bag.

[0203] Intraocular lens power: IOL power The refractive power of an artificial lens.

[0204] Diopter: A unit of refractive power, represented by D. It refers to the refractive power of a material when parallel light rays pass through it. One diopter or 1D is defined as the refractive power of the material when the focal point is 1m.

[0205] Effective lens position (ELP) is the vertical distance from the posterior vertex of the cornea to the visual axis of the intraocular lens optical surface.

[0206] Axial length (AL) usually refers to the anteroposterior diameter of the eyeball, which is the length from the apex of the cornea to the macula. Corneal diameter (WTW) refers to the distance from white to white.

[0207] Flat axis corneal curvature: K1, the curvature value of the cornea at its flattest point.

[0208] Steep axis corneal curvature: K2, the curvature value of the steepest part of the cornea in the horizontal direction.

[0209] Mean corneal curvature: K, the average radius of curvature detected by a corneal curvature meter, is the harmonic mean of the flat-axis corneal curvature K1 and the steep-axis corneal curvature K2.

[0210] Anterior chamber depth (ACD) represents the distance between the corneal endothelium and the anterior lens capsule. Corneal curvature radius (CCR) represents the radius of curvature of the anterior surface of the cornea.

[0211] Corneal height: the distance from the apex of the cornea to the iris plane.

[0212] The steps, algorithms, or equations for data acquisition, storage, transmission, calculation, and processing not specifically described in the following embodiments, as well as the readable storage media, computer devices, and computer program products not specifically described, can all be implemented using content already disclosed in the prior art.

[0213] As used in this article, " / " can mean "and" or "or".

[0214] As used in this article, words such as "including" and "having" are open-ended terms, meaning they include but are not limited to.

[0215] As used herein, terms such as "preferred" and "more preferred" refer to embodiments that provide certain beneficial technical effects under certain circumstances. However, other embodiments may also be preferred under the same or other circumstances. Terms such as "preferred" and "more preferred" should not be construed as meaning that other embodiments are unavailable, nor should they be construed as excluding other embodiments from the scope of this invention, nor are they intended to limit the scope of this invention.

[0216] As used herein, the numbers or sequence numbers of the embodiments or processes may indicate the order of execution, or they may indicate that the order of execution is not limited. The execution order of the embodiments or processes should be determined by their functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0217] This invention provides a method for predicting the position of an equivalent intraocular lens (IOL) in eyes with partial lens dislocation due to Marfan syndrome. The method uses an optimized equivalent IOL position prediction model to obtain prediction data of the equivalent IOL position. The equivalent IOL position prediction model includes a long axial length equivalent IOL position prediction sub-model and a short axial length equivalent IOL position prediction sub-model.

[0218] In one specific implementation, the flowchart of the above prediction method is as follows: Figure 1 As shown, it includes the following steps:

[0219] (1) Obtain the patient's preoperative data; (2) Determine whether the patient should use the long axial length equivalent intraocular lens position prediction sub-model or the short axial length equivalent intraocular lens position prediction sub-model; (3) Based on the determination in step (2), and using the patient's preoperative data obtained in step (1), calculate the predicted postoperative theoretical equivalent intraocular lens position (ELP) through the equivalent intraocular lens position prediction model. T .

[0220] In one specific implementation, the equivalent intraocular lens position prediction model is constructed based on a real-world database of Marfan syndrome patients through regression model analysis.

[0221] The present invention uses the preoperative axial length of the eye as the dividing line to determine the boundary value of the sub-model, and can fluctuate by 1%, 5%, or 10% above or below this dividing line value.

[0222] The boundary value of the sub-model is used to determine whether the patient uses the long axial length equivalent intraocular lens position prediction sub-model or the short axial length equivalent intraocular lens position prediction sub-model.

[0223] In one specific embodiment, the present invention uses a preoperative axial length of 24mm as the boundary, or any value within the range of 24mm±1%, 24mm±5%, or 24mm±10% as the boundary;

[0224] In one specific implementation, the sub-model judgment boundary value can be any value within the range of 21.6mm to 26.4mm; more specifically, it can be the preoperative axial length of 21.6mm, 24mm, 24.05mm, 24.1mm, 24.2mm, 24.25mm, 25mm, or 26.4mm.

[0225] In one specific implementation, step (2) above specifically includes: the sub-model judgment boundary value is about 24mm; when the preoperative axial length AL is greater than the sub-model judgment boundary value, the long axial length equivalent intraocular lens position prediction sub-model is used for prediction; when the preoperative axial length AL is equal to or less than the sub-model judgment boundary value, the short axial length equivalent intraocular lens position prediction sub-model is used for prediction.

[0226] This invention also provides a method for constructing an equivalent intraocular lens (IOL) position prediction model for eyes with partial lens dislocation in Marfan syndrome, comprising the following steps: Step 1, establishing a real-world database based on information of Marfan syndrome patients who have undergone intraocular lens capsular implantation; Step 2, inversely estimating the postoperative equivalent IOL position of the patient based on the convergence-divergence formula, and obtaining the inversely estimated equivalent IOL position (ELP) using the equivalent IOL position inverse estimation formula. r Step 3: Based on the data obtained in Step 2, divide it into a training set and a test set; Step 4: Construct and test the above prediction model using the training set and test set respectively.

[0227] This invention constructs a predictive model for predicting the position of the equivalent intraocular lens that does not depend on anterior chamber depth and lens thickness.

[0228] This invention further provides a method for predicting the intraocular lens power in eyes with lenticule dislocation due to Marfan syndrome, comprising the following steps: 1) obtaining the postoperative theoretical equivalent intraocular lens position (ELP) based on the equivalent intraocular lens position prediction method. T ;2) Obtain the corneal radius of curvature (CCR);3) Set the postoperative target refractive power (R) obj ;4) Based on the postoperative target refractive error R obj To obtain the calculated IOL power of the intraocular lens to be implanted. power-cal .

[0229] In some non-limiting embodiments, the present invention provides a system for predicting the refractive power of an intraocular lens (IOL) in Marfan syndrome-related lens dislocation. This system employs the above-described equivalent IOL position prediction method or executes an equivalent IOL position prediction model constructed by the above-described method for constructing an equivalent IOL position prediction model.

[0230] In some non-limiting embodiments, the present invention provides a method of using the above-described intraocular lens power prediction system.

[0231] In some non-limiting embodiments, the present invention provides a computer-readable storage medium storing a computer program that implements the steps of the above-described equivalent intraocular lens position prediction method or intraocular lens power prediction method.

[0232] In some non-limiting embodiments, the present invention provides a computer device for executing a computer program on the computer-readable storage medium described above.

[0233] In some non-limiting embodiments, the present invention provides computer program products including, but not limited to, the computer programs described above.

[0234] Example 1: Design Concept and Calculation Method

[0235] Step 1: Construct an equivalent intraocular lens position prediction model:

[0236] The model for predicting the equivalent intraocular lens (IOL) position in patients was constructed based on a database of Marfan syndrome patients. The correlation between the equivalent IOL position and patient parameters was analyzed, and a generalized multiple linear regression model was applied. The specific method is as follows.

[0237] 1) Database creation

[0238] The Marfan syndrome real-world database includes:

[0239] Patient basic data, including name, ID number, contact information, date of birth, examination date, eye type, etc.;

[0240] Demographic parameters, including sex (G) and patient age (Age);

[0241] Preoperative ocular biological parameters include preoperative axial length (AL), corneal diameter (WTW), flat-axis corneal curvature (K1), steep-axis corneal curvature (K2), preoperative anterior chamber depth (ACD), and preoperative lens thickness (LT).

[0242] Patient refraction examination, including refractive error R measured 1-3 months post-surgery. test And postoperative best corrected visual acuity (BCVA);

[0243] Patient information regarding implanted intraocular lenses, including surgical procedure, type of intraocular lens (IOL), and IOL power. power ;

[0244] Only one eye of each patient was randomly selected.

[0245] The patient sample consisted of 250 patients with Marfan syndrome who underwent intraocular lens implantation for congenital lens dislocation at the Eye, Ear, Nose and Throat Hospital affiliated with Fudan University between 2020 and 2024. This project has been reviewed and approved by the Ethics Committee of the Eye, Ear, Nose and Throat Hospital of Fudan University.

[0246] Furthermore, the embodiments divided patients with different axial lengths into groups based on 24mm, and analyzed the correlation between the position of the equivalent intraocular lens and different parameters.

[0247] 2) The postoperative equivalent intraocular lens position of the patient is inferred from the convergence-divergence formula.

[0248] The formula for convergence / divergence is as follows:

[0249]

[0250] ELP refers to the preoperatively predicted equivalent intraocular lens position, measured in mm.

[0251] R x The refractive error of patients scheduled for postoperative refraction is measured in Digits (D).

[0252] n is the refractive index of the aqueous humor or vitreous humor, and the refractive index of the aqueous humor or vitreous humor is 1.3375, without units;

[0253] AL is the preoperative axial length of the eye, measured in mm;

[0254] K represents the patient's average corneal curvature before surgery, measured in D.

[0255] V is the distance between the lenses, the value is 12, and the unit is mm.

[0256] IOL power It refers to the diopter of the implanted intraocular lens, measured in diopters (D).

[0257] Based on the above convergence-divergence formula, the inverse formula for determining the equivalent intraocular lens position is derived as follows:

[0258]

[0259] Among them ELP r It is used to estimate the position of the equivalent intraocular lens, and the unit is mm.

[0260] R test This refers to the patient's refractive error measured 1-3 months post-surgery, in Digits (D).

[0261] AL is the preoperative axial length of the eye, measured in mm;

[0262] K is the patient's preoperative mean corneal curvature, in D, which is the harmonic mean of the flat-axis corneal curvature K1 and the steep-axis corneal curvature K2, calculated from K1 and K2.

[0263] n is the refractive index of the aqueous humor or vitreous humor, and the refractive index of the aqueous humor or vitreous humor is 1.3375, without units;

[0264] V is the distance between the lenses, the value is 12, and the unit is mm;

[0265] IOL power This refers to the diopter of the intraocular lens implanted in the patient, measured in diopters (D).

[0266] Using the above formula for reversing the equivalent intraocular lens position, the reverse-estimated equivalent intraocular lens position (ELP) is obtained. r .

[0267] 3) Data analysis and processing

[0268] The data obtained according to the method described above will be divided into training set and test set in a 7:3 ratio.

[0269] The above training set is used to find the correlation of feature parameters and to construct a prediction model.

[0270] Patients with different axial lengths were divided into groups based on a preoperative axial length of 24 mm. Using the training set mentioned above, characteristic parameters related to the position of the equivalent intraocular lens were analyzed for patients with axial lengths greater than 24 mm and those less than or equal to 24 mm.

[0271] First, univariate analysis was performed, followed by multiple linear regression analysis, to determine the preoperative ocular biological parameters and gender parameters that are closely related to the position of the equivalent intraocular lens.

[0272] Figure 2 This is a correlation matrix between the equivalent intraocular lens position and preoperative ocular biological parameters. Red indicates an axial length greater than 24 mm, and blue indicates an axial length less than or equal to 24 mm. * indicates a significant P-value less than 0.05, ** indicates a significant P-value less than 0.01, and *** indicates a significant P-value less than 0.001.

[0273] like Figure 2 As shown, the correlation between the position of the equivalent intraocular lens (IOL) and various parameters differs in patients with Marfan syndrome of different axial lengths. When the axial length is greater than 24 mm, the position of the equivalent IOL is significantly correlated with the preoperative axial length (AL) and corneal radius of curvature (CCR); when the axial length is less than or equal to 24 mm, the position of the equivalent IOL is significantly correlated with the preoperative axial length (AL), corneal height (H), and corneal diameter (WTW).

[0274] Figure 3 Correlation analysis of equivalent intraocular lens position and gender parameters.

[0275] like Figure 3 Figure (A) shows that when the axial length is less than or equal to 24 mm, the significance P-value between the two sexes is 0.034, which is less than 0.05, indicating a significant difference.

[0276] Figure (B) shows that when the axial length is greater than 24 mm, there is no significant difference between the sexes.

[0277] Because the correlation between the equivalent intraocular lens (IOL) position and postoperative refractive prediction error varies among Marfan syndrome patients with different axial lengths, the equivalent IOL position in patients with an axial length greater than 24 mm is closely related to the preoperative axial length (AL) and corneal radius of curvature (CCR) due to the smaller proportion of the anterior segment in the eyeball. However, in patients with an axial length of 24 mm or less, the equivalent IOL position is significantly correlated with corneal height (H), corneal diameter (WTW), preoperative axial length (AL), and gender (G). Different models should be used to predict the equivalent IOL position for patients with different axial lengths.

[0278] Furthermore, for patients with an axial length greater than 24 mm and less than or equal to 24 mm, equivalent intraocular lens (IOL) position prediction sub-models for long axial length and short axial length were established respectively. Among them, a generalized multiple linear regression model was used to construct the equivalent IOL position prediction model.

[0279] Next, the prediction model is tested and evaluated using a test set, and the error is calculated.

[0280] 4) Establishment of the prediction model

[0281] Based on this, a generalized multiple linear regression equation was applied to obtain an equivalent intraocular lens (IOL) position prediction model. The formula for calculating the postoperative theoretical equivalent IOL position of the prediction model is as follows:

[0282]

[0283] in,

[0284] ELP T This is the theoretically equivalent position of the intraocular lens after surgery, in mm.

[0285] AL is the preoperative axial length of the eye, measured in mm;

[0286] G represents the patient's gender: G is 0 when the patient is female and 1 when the patient is male.

[0287] H is the patient's corneal height, measured in mm;

[0288] WTW stands for white-to-white (corneal diameter), measured in mm.

[0289] CCR is the patient's corneal curvature radius, measured in mm;

[0290] a0, a1, a2, a3, a4 and b0, b1, b2 are intraocular lens constants, obtained based on the intraocular lens model.

[0291] Furthermore, intraocular lens constants can be used for common intraocular lens models as well as other intraocular lens models.

[0292] The correspondence between common intraocular lens (IOL) models and IOL constants is as follows:

[0293]

[0294]

[0295] When the intraocular lens model is TECNIS ZCB00, PCB00, DCB00 or ICB00, a0 = -0.070, a1 = 0.337, a2 = 0.375, a3 = 1.612, a4 = -0.537, b0 = 4.516, b1 = 0.371, b2 = -0.998;

[0296] When the intraocular lens model is AcrySof IQ SN60AT or SN60WF, a0 = 1.344, a1 = 0.467, a2 = 0.072, a3 = 3.540, a4 = -1.233, b0 = 8.267, b1 = 0.275, b2 = -1.141.

[0297] The examples listed are TECNIS ZCB00 / PCB00 / DCB00 / ICB00 and AcrySof IQ SN60AT / SN60WF models. The method and system of the present invention can be used in other intraocular lens models, not limited to those mentioned above.

[0298] When using other artificial lens models, the artificial lens constants of other artificial lens models can be obtained by the method provided by this invention.

[0299] The corneal radius of curvature (CCR) is obtained using the following formula:

[0300]

[0301] Where CCR is the patient's corneal curvature radius in mm; K1 is the patient's flat-axis corneal curvature in D; and K2 is the patient's steep-axis corneal curvature in D.

[0302] Corneal height is obtained using the following formula:

[0303]

[0304] Where H is the patient's corneal height in mm; CCR is the patient's corneal curvature radius in mm; and WTW is the patient's white-to-white (corneal diameter) in mm.

[0305] Step 2: Calculate the predicted postoperative theoretical equivalent intraocular lens position:

[0306] Obtaining preoperative patient data includes:

[0307] (1) Patient basic data: including patient name, eye (left or right eye), examination date, and date of birth;

[0308] (2) Ocular biological parameters: including preoperative axial length AL, flat axis corneal curvature K1, steep axis corneal curvature K2, and corneal diameter WTW;

[0309] (3) Demographic characteristics: including gender (G);

[0310] (4) Information on the proposed intraocular lens: including the model of the proposed intraocular lens.

[0311] Substituting the above data into the equivalent intraocular lens (IOL) position prediction model obtained in step one, further, for patients with an axial length greater than 24 mm and less than or equal to 24 mm, the long axial length equivalent IOL position prediction sub-model and the short axial length equivalent IOL position prediction sub-model were applied respectively to calculate the postoperative theoretical equivalent IOL position (ELP). T .

[0312] Among them, the postoperative theoretical equivalent intraocular lens position (ELP) of the long axial length equivalent intraocular lens position prediction sub-model. T The calculation formula is: ELP T = b1×AL+b2×CCR+b0;

[0313] Postoperative theoretical equivalent intraocular lens position (ELP) of the short axial length equivalent intraocular lens position prediction sub-model T The calculation formula is: ELP T =a1×AL+a2×G+a3×H+a4×WTW+a0.

[0314] In this embodiment, the preoperative axial length of 24mm is used as the boundary. However, those skilled in the art should understand that a value of approximately 24mm, or 24mm ± 10%, falls within the scope of the invention as claimed.

[0315] Step 3: Calculate the required intraocular lens power for the patient:

[0316] (a) Obtain the calculated value of the power of the intraocular lens to be implanted.

[0317] The formula for calculating the required intraocular lens power for a patient uses the convergence-divergence formula, based on the postoperative theoretical equivalent intraocular lens position (ELP). T Corneal radius of curvature (CCR) and postoperative target refractive power (R) obj Calculate the required power of the intraocular lens for the patient.

[0318] Based on the above steps, the postoperative theoretical equivalent intraocular lens position (ELP) is obtained. T The corneal radius of curvature (CCR) is obtained based on the formula for calculating the corneal radius of curvature, and the postoperative target refractive power (R) is set. obj Based on the convergence-divergence formula, the formula for calculating the required intraocular lens power is as follows:

[0319]

[0320] Z1 represents the equivalent refractive power generated by the refractive medium at the equivalent intraocular lens position in the corneal or spectacle plane.

[0321] When the postoperative target refractive power R obj When the value is 0.00D, the refractive power of the spectacle plane is zero. Therefore, it is unnecessary to calculate the equivalent refractive power generated by the refractive medium at the equivalent intraocular lens position. Z1 is calculated using the following formula:

[0322]

[0323] When the postoperative target refractive power R obj When the value is not 0.00D, it is necessary to calculate the equivalent refractive power produced by the refractive medium at the equivalent intraocular lens position of the spectacle plane. Z1 is calculated according to the following formula:

[0324]

[0325] IOL power-cal This is the calculated power of the intraocular lens to be implanted, in Digits (D).

[0326] ELP T This is the theoretically equivalent position of the intraocular lens after surgery, in mm.

[0327] AL is the preoperative axial length of the eye, measured in mm;

[0328] R obj It is the postoperative target refractive power, measured in Digits (D).

[0329] CCR is the patient's corneal curvature radius, measured in mm.

[0330] (ii) Obtain the recommended intraocular lens power

[0331] Using 0.50D as the unit of variation, the calculated IOL value of the intraocular lens to be implanted is taken. power-cal The closest value is used to obtain the recommended intraocular lens power (IOL). power-rec .

[0332] Recommended intraocular lens power (IOL) power-recIt is N or N.50D, where N is an integer, based on the calculated IOL power of the intraocular lens to be implanted. power-cal The above-recommended intraocular lens power (IOL) power-rec Take the calculated IOL value from N or N.50D, which corresponds to the power of the intraocular lens to be implanted. power-cal The closest value.

[0333] In some specific implementations, N is an integer greater than or equal to 0.

[0334] If IOL power-cal respectively with IOL power-rec If the absolute values ​​of the difference are the same when taking N or N.50D, then IOL power-rec For N and N.50D.

[0335] For example, the formula calculates IOL power-cal It is 14.90D, and its corresponding IOL power-rec It is 15.00D.

[0336] For example, the formula calculates IOL power-cal It is 14.25D, and its corresponding IOL power-rec The values ​​are 14.00D and 14.50D.

[0337] (III) Obtaining the simulated intraocular lens power

[0338] Based on the above recommended intraocular lens power (IOL) power-rec The simulated intraocular lens power (IOL) was obtained by adding +1.50D, +1.00D, +0.50D, -0.50D, -1.00D, and -1.50D respectively. power-sim .

[0339] For example, obtaining IOL power-rec It is 28.00D, and its corresponding IOL power-sim The values ​​are 29.50D, 29.00D, 28.50D, 27.50D, 27.00D, and 26.50D.

[0340] Step 4: Calculate the patient's actual refractive error after surgery:

[0341] Among them, the actual refractive error R after the above-mentioned surgery rec The calculation formula is as follows:

[0342] Based on the recommended intraocular lens power (IOL) in step three. power-rec Or simulated intraocular lens power (IOL) power-sim Step 2: Calculate the postoperative theoretical equivalent intraocular lens position (ELP). TAnd the preoperative axial length (AL) and corneal radius of curvature (CCR) are used to calculate the actual postoperative refractive error (R). rec :

[0343]

[0344] Among them, when calculating the recommended intraocular lens power IOL power-rec Postoperative actual refractive error R rec hour,

[0345]

[0346] Alternatively, when calculating the simulated intraocular lens power IOL... power-sim Postoperative actual refractive error R rec hour,

[0347]

[0348] IOL power-rec This is the recommended intraocular lens power, measured in Digits (D).

[0349] IOL power-sim This is a simulated intraocular lens power, measured in Digits (D).

[0350] AL is the preoperative axial length of the eye, measured in mm;

[0351] R rec This is the actual refractive power after surgery, measured in Digits (D).

[0352] V is the distance between the lenses, the value is 12, and the unit is mm;

[0353] Z2 is the equivalent refractive power produced by the proposed intraocular lens in the corneal plane, measured in D.

[0354] CCR is the patient's corneal curvature radius, measured in mm.

[0355] Step 5: Obtain the calculation results:

[0356] The calculation results include the patient's recommended intraocular lens power (IOL). power-rec The recommended intraocular lens power corresponds to the actual postoperative refractive error R. rec Postoperative target refractive error R obj Simulated intraocular lens power (IOL) power-sim The simulated intraocular lens power corresponds to the actual postoperative refractive error R. rec .

[0357] Example 2: Construction process of prediction system and software

[0358] Based on the design concept and calculation method described in Example 1, a corresponding web-based calculator was developed.

[0359] like Figure 4 The diagram shows the flow chart of the prediction system of the present invention, which includes an input module, a judgment module, a calculation module, and an output module.

[0360] Input module: Input preoperative patient data, including patient name, date of birth, examination date, preoperative axial length (AL), flat-axis corneal curvature (K1), steep-axis corneal curvature (K2), corneal diameter (WTW), and postoperative target refractive power (R). obj (Adjustable, default value is -1.00D), the model of the intraocular lens to be implanted, and the selection of eye (right or left eye) and gender G (male or female).

[0361] Judgment Module: Based on the patient's preoperative axial length, determine whether the patient should use the long axial length equivalent intraocular lens position prediction sub-model or the short axial length equivalent intraocular lens position prediction sub-model.

[0362] Calculation module: includes equivalent intraocular lens position calculation module and intraocular lens power calculation module.

[0363] The equivalent intraocular lens (IOL) position calculation module uses the postoperative equivalent IOL position prediction model from step one of Example 1 to obtain the predicted postoperative theoretical equivalent IOL position based on the aforementioned prediction model. Different prediction models for equivalent IOL positions were used for patients with an AL of ≤24mm and >24mm.

[0364] The intraocular lens power calculation module calculates the recommended intraocular lens power and its corresponding postoperative actual refractive power, as well as the simulated intraocular lens power and its corresponding postoperative actual refractive power, based on the calculation methods in steps three and four of Example 1.

[0365] This module is written in R language and based on the convergence-divergence formula.

[0366] Output module: Displays and / or outputs the recommended intraocular lens power obtained from the calculation module, the actual postoperative refractive error corresponding to the recommended intraocular lens power, the simulated intraocular lens power, the actual postoperative refractive error corresponding to the simulated intraocular lens power, and the target postoperative refractive error R. obj .

[0367] The output module can further display and / or output patient preoperative data, recommended intraocular lens power, and the corresponding postoperative actual refractive power, etc., as PDF files.

[0368] The output module may further include a display module and a report output module.

[0369] Based on the above prediction system process and modules, a web-based calculator is designed.

[0370] The web-based calculator developed and designed includes:

[0371] 1. Input Module: Input the patient's preoperative data, including patient name, date of birth (accurate to the day), examination date, preoperative axial length (AL), flat-axis corneal curvature (K1), steep-axis corneal curvature (K2), corneal diameter (WTW), and postoperative target refractive power (R). obj (Adjustable, default value is -1.00D), the model of the intraocular lens to be implanted, and the selection of eye (right or left eye) and gender G (male or female).

[0372] 2. Judgment Module: Based on the patient's preoperative axial length, with a preoperative axial length of 24mm as the boundary, determine whether the patient should use the long axial length equivalent intraocular lens position prediction sub-model or the short axial length equivalent intraocular lens position prediction sub-model.

[0373] 3. Equivalent Intraocular Lens Position Calculation Module: Using the postoperative equivalent intraocular lens position prediction model from step one of Example 1, the predicted postoperative theoretical equivalent intraocular lens position is obtained based on the above prediction model. Different prediction models for equivalent intraocular lens positions were used for patients with AL less than or equal to 24 mm and those greater than 24 mm.

[0374] 4. Intraocular Lens Power Calculation Module: This module is written based on the R language and the convergence-divergence formula.

[0375] Based on the calculation methods in steps three and four of Example 1, the recommended intraocular lens power and the corresponding postoperative actual refractive power are calculated.

[0376] The intraocular lens constants corresponding to the types of intraocular lenses commonly used by patients with Marfan syndrome are included in the calculation. These common intraocular lens types include TECNIS PCB00, TECNIS ZCB00, TECNIS DCB00, TECNIS ICB00, AcrySof IQ SN60AT, and AcrySof IQ SN60WF.

[0377] Based on the recommended intraocular lens power obtained from the intraocular lens power calculation module, simulated intraocular lens powers were obtained by adding +1.50D, +1.00D, +0.50D, -0.50D, -1.00D, and -1.50D respectively.

[0378] Then, by substituting the values ​​into the intraocular lens power calculation module, the actual postoperative refractive error corresponding to the simulated intraocular lens power is obtained.

[0379] 5. Display Module: This module displays the recommended intraocular lens power obtained from the calculation module, the corresponding postoperative actual refractive error, the simulated intraocular lens power, the corresponding postoperative actual refractive error, and the target postoperative refractive error R. obj .

[0380] 6. Report Output Module: Outputs patient preoperative data, recommended intraocular lens power, and the actual postoperative refractive error corresponding to the recommended intraocular lens power, etc., as PDF files from the calculation and / or display modules.

[0381] A schematic diagram of the web calculator's construction process is shown below. Figure 5 As shown.

[0382] Example 3: Prediction System Usage and Operation Procedures

[0383] This invention can be used to calculate the intraocular lens power in patients with Marfan syndrome and incomplete lens dislocation who are scheduled to have an intraocular lens implanted in their circumferential bag. It is applicable to different types of intraocular lenses and is convenient for clinical use.

[0384] like Figure 6 As shown, the usage method and operation process of the prediction system of the present invention are as follows:

[0385] S1. Input Information: Enter the patient's name, date of birth (accurate to the day), examination date, preoperative axial length (AL), flat-axis corneal curvature (K1), steep-axis corneal curvature (K2), corneal diameter (WTW), and postoperative target refractive power (R) on the input page. obj (Adjustable, default value is -1.00D), select the model of the intraocular lens to be implanted, select the eye (right eye or left eye) and gender G (male or female).

[0386] S2. Click Calculate: Click the Calculate button at the bottom of the page.

[0387] S3. Read Calculation Results / Report: View the calculation results / report of intraocular lens power in the output interface, including results for different types of intraocular lenses.

[0388] S4. Output Data: Click the download button at the bottom of the page to generate a report, which can then be downloaded as a PDF.

[0389] This invention eliminates the need for unreliable preoperative measurement data such as anterior chamber depth and lens thickness, thus expanding its applicability and reliability.

[0390] Example 4

[0391] The patient is a male who underwent lens extraction and stage I intraocular lens implantation at age 5. The ocular biological parameters of the operated eye are as follows: AL, 22.48 mm; WTW, 12.01 mm; K1, 41.78 D; K2, 42.68 D. The postoperative target refractive error is 0.00 D. According to the prediction method of this invention, if a TECNIS PCB00 intraocular lens is selected for implantation, the postoperative equivalent intraocular lens position is 4.97 mm, the recommended implantation power is 27.50 D, and his expected postoperative refractive error is -0.17 D.

[0392] Example 5

[0393] The patient is a female who underwent lens extraction and stage I intraocular lens implantation at age 5. The ocular biological parameters of the operated eye are as follows: AL, 22.48 mm; WTW, 12.01 mm; K1, 41.78 D; K2, 42.68 D. The postoperative target refractive error is 0.00 D. According to the prediction method of this invention, if a TECNIS PCB00 intraocular lens is selected for implantation, the postoperative equivalent intraocular lens position is 4.59 mm, the recommended implantation power is 26.50 D, and the expected postoperative refractive error is -0.13 D.

[0394] The patients in Examples 4 and 5 had the same age, ocular parameters, and implanted intraocular lens type, but were different genders. The postoperative equivalent intraocular lens position was different, and the implanted intraocular lens power differed by 1.00D.

[0395] Example 6

[0396] In a test set of 75 people, the formula and prediction method of this patent were used to predict patients.

[0397] The patient sample consisted of Marfan syndrome patients who underwent intraocular lens implantation (IOL) for congenital lens dislocation at the Eye, Ear, Nose and Throat Hospital affiliated with Fudan University between 2020 and 2024. The mean age of the patients was 6.58 years, with 60 patients under 18 years of age and 15 patients over 18 years of age. The male-to-female ratio was 1:1. This project has been reviewed and approved by the Ethics Committee of the Eye, Ear, Nose and Throat Hospital of Fudan University, registration number ChiCTR20000391132.

[0398] Furthermore, the conventional formulas in the prior art—SRK / T, Haigis, Holladay I, and HofferQ—were used to predict the outcomes of the aforementioned patients, and the results were compared with those of the present invention.

[0399] In a test set of 75 patients, the refractive prediction error performance was calculated, such as... Figure 7 As shown.

[0400] The unit of refractive prediction error is D, which is the postoperative target refractive power R of the patient when implanting an intraocular lens (IOL) according to the formula. obj Subtract the refractive error that the patient actually had during refraction examinations 1-3 months after surgery.

[0401] Example 7

[0402] Furthermore, the absolute prediction error of the patient is calculated, and the patient is predicted using both the formula of this patent and the conventional formula in the prior art.

[0403] The following table compares the absolute prediction error performance of patients with SRK / T, Haigis, Holladay I, Hoffer Q, BUII, and Kane using the conventional formulas of this invention and existing technologies:

[0404] Table 1. Patient absolute prediction error performance of this patent and traditional formula.

[0405]

[0406] The absolute prediction error is measured in D, which represents the postoperative target refractive power R of the patient when an intraocular lens (IOL) is implanted, calculated according to the formula. obj Subtract the absolute value of the refractive error actually possessed by the patient during refraction 1-3 months post-surgery; the degree of improvement indicates the extent to which the absolute prediction error is reduced compared to the error of the traditional formula; AL is the axial length in mm; the P-value is the statistical value of the paired rank-sum test, and a value less than 0.0125 indicates a statistical difference.

[0407] When using traditional formulas to predict Marfan syndrome, extreme refractive prediction errors, exceeding 2.00D, occur in 3–10% of Marfan syndrome patients. Compared to traditional formulas, the present invention exhibits a smaller absolute prediction error, demonstrating a significant improvement in absolute prediction error performance.

[0408] As shown in Example 6, in a test set of 75 people, the patented formula and method not only reduced the prediction error of patients compared with the traditional formula, but also reduced the occurrence of extreme values ​​of prediction error, thus improving the reliability of the calculation results.

[0409] As can be seen from the results of Example 7, in a test set of 75 people, by distinguishing axial length, the patented formula and method can effectively reduce the absolute prediction error of patients and improve the accuracy of the calculation results compared with traditional formulas.

[0410] The prediction model for the postoperative equivalent intraocular lens position in the prediction method and system of this invention has higher accuracy than previous calculation software, thus making the calculated recommended intraocular lens power more valuable for practical application. It can be used to guide the selection of intraocular lens power before surgery, so that the predicted postoperative actual refractive power is closer to the ideal value, and has high clinical application value.

[0411] In summary, this invention has significant clinical implications by analyzing a model of the equivalent intraocular lens position after surgery in patients with Marfan syndrome in the real world. Based on the above findings, this invention establishes a prediction method, prediction system, and web-based calculator that can predict changes in refractive power after intraocular lens implantation in patients with Marfan syndrome.

[0412] This prediction system is not only simple to operate and easy to use in clinical practice, but also has a small error between the predicted postoperative actual refractive power and the target refractive power, thus improving the accuracy of the calculation. Therefore, it can be used to guide patients in selecting the power of intraocular lenses before surgery, so that the postoperative refractive power is closer to the ideal value, which helps to improve the visual quality of patients and has high application value in clinical practice.

[0413] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A method for predicting the position of the equivalent intraocular lens in eyes with partial lens dislocation in Marfan syndrome, characterized in that, The prediction method uses an equivalent intraocular lens (IOL) position prediction model to obtain prediction data for the equivalent IOL position. This model includes a long-axial-length equivalent IOL position prediction sub-model and a short-axial-length equivalent IOL position prediction sub-model. The prediction method includes the following steps: (1) Obtaining preoperative patient data, including data selected from ocular biological parameters, demographic parameters, information on the intraocular lens to be implanted, and postoperative target refractive power R. obj One or more of the following; (2) Determine whether the patient is using the long axial length equivalent intraocular lens position prediction sub-model or the short axial length equivalent intraocular lens position prediction sub-model; (3) Based on the judgment in step (2) and the preoperative patient data obtained in step (1), the predicted postoperative theoretical equivalent intraocular lens position (ELP) is calculated using the equivalent intraocular lens position prediction model. T ; The equivalent intraocular lens position prediction model is constructed based on a real-world database of Marfan syndrome patients through regression model analysis. The ocular biological parameters in step (1) include preoperative axial length AL, flat axis corneal curvature K1, steep axis corneal curvature K2, and corneal diameter WTW; the demographic parameters include gender G; and the information on the intraocular lens to be implanted includes the model of the intraocular lens to be implanted. The specific steps (2) include: when the preoperative axial length AL is greater than the sub-model judgment threshold, the long axial length equivalent intraocular lens position prediction sub-model is used for prediction. When the preoperative axial length AL is equal to or less than the sub-model judgment threshold, the short axial length equivalent intraocular lens position prediction sub-model is used for prediction. The long-axial-length equivalent intraocular lens position prediction sub-model and the short-axial-length equivalent intraocular lens position prediction sub-model are constructed using different feature parameters. The feature parameters used in the long axial length equivalent intraocular lens position prediction sub-model include the preoperative axial length AL and the corneal radius of curvature CCR. The feature parameters used in the short axial length equivalent intraocular lens position prediction sub-model include corneal height H, corneal diameter WTW, preoperative axial length AL, and gender G. The postoperative theoretical equivalent intraocular lens position (ELP) of the long axial length equivalent intraocular lens position prediction sub-model. T The calculation formula is: ELP T =b1×AL+b2×CCR+b0; The postoperative theoretical equivalent intraocular lens position (ELP) of the short axial length equivalent intraocular lens position prediction sub-model. T The calculation formula is: ELP T =a1×AL+a2×G+a3×H+a4×WTW+a0; Among them, ELP T This is the theoretically equivalent position of the intraocular lens after surgery, in mm. AL is the preoperative axial length of the eye, measured in mm; G represents gender: G is 0 when the patient is female and 1 when the patient is male. H is the corneal height, measured in mm; WTW is the corneal diameter, measured in mm. CCR is the radius of curvature of the cornea, measured in mm. a0, a1, a2, a3, a4 and b0, b1, b2 are the constants of the artificial lens.

2. The method for predicting the position of an equivalent intraocular lens as described in claim 1, characterized in that, The sub-model determines the dividing line value to be 24mm, and it can fluctuate up or down by 10% based on this dividing line value.

3. The method for predicting the position of an equivalent intraocular lens as described in claim 1, characterized in that, The formula for calculating the corneal radius of curvature (CCR) in the equivalent intraocular lens position prediction model is as follows: Where CCR is the corneal radius of curvature, in mm; K1 is the flat-axis corneal curvature, measured in degrees (D). K2 is the steep-axis corneal curvature, measured in degrees (D). The formula for calculating the corneal height H in the equivalent intraocular lens position prediction model is as follows: Where H is the corneal height, in mm; CCR is the radius of curvature of the cornea, measured in mm. WTW is the corneal diameter, measured in mm.

4. The method for predicting the position of an equivalent intraocular lens as described in claim 3, characterized in that, The sub-model determines the dividing line value to be 24mm, and it can fluctuate up or down by 10% based on this dividing line value.

5. A method for constructing an equivalent intraocular lens position prediction model for eyes with partial lens dislocation in Marfan syndrome, characterized in that, The construction method includes: Step 1: Establish a real-world database based on the information of Marfan syndrome patients who have undergone intraocular lens implantation. The patient information in the database includes one or more of the following: patient baseline data, patient preoperative ocular biological parameters, patient refraction examination, demographic parameters, and information on implanted intraocular lenses. The preoperative ocular biological parameters include one or more parameters selected from the following: preoperative axial length AL, corneal diameter WTW, flat axis corneal curvature K1, steep axis corneal curvature K2, anterior chamber depth ACD, and lens thickness LT. The demographic parameters include one or more parameters selected from patient age (Age) and gender (G); The patient's refraction examination included refractive errors R selected from the patient's refraction measurements taken 1-3 months post-surgery. test One or more parameters in the postoperative best corrected visual acuity (BCVA); The implanted intraocular lens information includes the type of implanted intraocular lens and the intraocular lens power (IOL). power One or more parameters in; Step 2: Based on the convergence-divergence formula, the postoperative equivalent intraocular lens (IOL) position of the patient is inversely estimated. Using the equivalent IOL position inverse estimation formula, the inverse equivalent IOL position (ELP) is obtained. r The formula for calculating the equivalent intraocular lens position is as follows: Among them ELP r To estimate the equivalent intraocular lens position, the unit is mm; R test This refers to the patient's refractive error measured 1-3 months post-surgery, in Digits (D). AL is the preoperative axial length of the eye, measured in mm; K is the preoperative mean corneal curvature, in D, which is calculated from the flat axis corneal curvature K1 and the steep axis corneal curvature K2. n is the refractive index of the aqueous humor or vitreous humor, which is 1.3375 and has no unit. V is the distance between the lenses, the value is 12, and the unit is mm; IOL power It refers to the diopter of the implanted intraocular lens, measured in diopters (D). Step 3: Based on the data obtained in Step 2, divide it into training set and test set in a 7:3 ratio; Step 4: Construct and test the prediction model using the training set and the test set, respectively.

6. A method for predicting the intraocular lens power in eyes with partial lens dislocation due to Marfan syndrome, characterized in that, Includes the following steps: 1) The prediction method according to any one of claims 1-4 yields the postoperative theoretical equivalent intraocular lens position (ELP). T ; 2) Obtain the corneal radius of curvature (CCR); 3) Set the postoperative target refractive power R obj ; 4) Based on the postoperative target refractive error R... obj To obtain the calculated IOL power of the intraocular lens to be implanted. power-cal , The required intraocular lens power (IOL) is calculated using the following formula. power-cal : Z1 represents the equivalent refractive power generated by the refractive medium at the equivalent intraocular lens position in the corneal or spectacle plane. When the postoperative target refractive power R obj When Z1 is 0.00D, it is calculated according to the following formula: When the postoperative target refractive power R obj When Z1 is not 0.00D, it is calculated according to the following formula: IOL power-cal This is the calculated power of the intraocular lens to be implanted, in Digits (D). ELP T This is the theoretically equivalent position of the intraocular lens after surgery, in mm. AL is the preoperative axial length of the eye, measured in mm; R obj It is the postoperative target refractive power, measured in Digits (D). CCR is the radius of curvature of the cornea, measured in mm. V is the distance between the lenses, the value is 12, and the unit is mm.

7. The method for predicting the power of an intraocular lens as described in claim 6, characterized in that, The prediction method further includes obtaining the recommended intraocular lens power (IOL). power-rec And simulated intraocular lens power IO Lpower-sim ; The recommended intraocular lens power (IOL) power-rec It is N or N.50D, where N is an integer, and the recommended intraocular lens power IOL is... power-rec Take the calculated value IOL from N or N.50D that corresponds to the power of the intraocular lens to be implanted. power- ca The closest value to l; If the calculated value of the required intraocular lens power is IOL power-cal Compared with the recommended intraocular lens power IOL power-rec If the absolute values ​​of the difference when taking N or N.50D are the same, then the recommended intraocular lens power is N and N.50D. The simulated intraocular lens power IOL power-sim The recommended intraocular lens power IOL power-rec The intraocular lens power was obtained by adding +1.50D, +1.00D, +0.50D, -0.50D, -1.00D, and -1.50D respectively.

8. A method for predicting the actual refractive error after surgery in eyes with partial lens dislocation due to Marfan syndrome, characterized in that, Includes the following steps: The recommended intraocular lens power IOL obtained by the method according to claim 7 power-rec Or the simulated intraocular lens power IOL power-sim The actual postoperative refractive error R is obtained using the following formula. rec : Among them, when calculating the recommended intraocular lens power IOL power-rec Postoperative actual refractive error R rec hour, When calculating the simulated intraocular lens power IOL power-sim Postoperative actual refractive error R rec hour, IOL power-rec This is the recommended intraocular lens power, measured in Digits (D). IOL power-sim This is a simulated intraocular lens power, measured in Digits (D). AL is the preoperative axial length of the eye, measured in mm; R rec This is the actual refractive error after surgery, measured in Digits (D). V is the distance between the lenses, the value is 12, and the unit is mm; Z2 is the equivalent refractive power produced by the proposed intraocular lens in the corneal plane, measured in D. CCR is the radius of curvature of the cornea, measured in mm. ELP T This is the theoretically equivalent position of the intraocular lens after surgery, in mm.

9. A system for predicting the refractive power of an intraocular lens in eyes with partial lens dislocation due to Marfan syndrome, characterized in that, The prediction system employs the prediction method of any one of claims 1-4 or executes an equivalent intraocular lens position prediction model constructed by the method of claim 5.

10. The prediction system as described in claim 9, characterized in that, It includes an input module, a judgment module, a calculation module, and an output module, wherein: The input module is used to input the patient's preoperative data, including the patient's basic data, ocular biological parameters, demographic parameters, and postoperative target refractive error R. obj And information on the intraocular lens to be implanted; The judgment module executes the judgment step in the equivalent intraocular lens position prediction method to determine whether the patient uses the long axial length equivalent intraocular lens position prediction sub-model or the short axial length equivalent intraocular lens position prediction sub-model. The calculation module includes an equivalent intraocular lens (IOL) position calculation module and an IOL power calculation module. The equivalent IOL position calculation module executes the equivalent IOL position prediction model to obtain the postoperative theoretical equivalent IOL position (ELP). T ; The intraocular lens power calculation module includes a method for predicting the intraocular lens power to obtain a recommended intraocular lens power (IOL). power-rec And simulated intraocular lens power (IOL) power-sim , And a method for predicting the patient's actual postoperative refractive error to obtain the actual postoperative refractive error R. rec ; The output module includes displaying and / or outputting the postoperative target refractive power R. obj The recommended intraocular lens power IOL power-rec and its corresponding postoperative actual refractive error R rec The simulated intraocular lens power IOL power-sim and its corresponding postoperative actual refractive error R rec .

11. The prediction system as described in claim 10, characterized in that, The output module further includes outputting the patient's preoperative data and / or the data from the calculation module.

12. The prediction system as described in claim 10, characterized in that, The output module outputs PDF files.

13. The method of using the intraocular lens power prediction system for macular degeneration in Marfan syndrome eyes according to any one of claims 9-12, characterized in that, The method of use includes the following steps: S1. Input the patient's preoperative data; S2. Click Calculate; S3. Read the calculation results; S4. Click to download and obtain the PDF report file.

Images