Method and system for predicting equivalent intraocular lens position and intraocular lens degree of malis syndrome incomplete dislocation eye

Abstract

The invention relates to a method and a system for predicting an equivalent intraocular lens position and an intraocular lens degree of an incomplete dislocated eye with marchis syndrome, and the method and the system are based on an equivalent intraocular lens position prediction model independent of anterior chamber depth and lens thickness and a concentration and divergence formula. The obtained equivalent intraocular lens position of the patient, the recommended intraocular lens degree, the postoperative actual diopter, the target diopter and the like can be used for guiding the selection of data such as the intraocular lens degree of the patient. The method has the advantages that the accurate calculation of the degree of the intraocular lens is realized based on the eye biological parameters and gender characteristics of the equi syndrome patient while the postoperative equivalent intraocular lens position and the postoperative refraction prediction error of the equi syndrome patient with different eye axis lengths are fully considered, the postoperative refraction error is effectively reduced, and the accuracy of the artificial lens degree is improved. And a more ideal postoperative refraction state is achieved, so that the satisfaction degree of a patient is improved.

Description

Technical Field

[0001] The present invention belongs to the field of medical technology, and specifically, relates to a method and system for calculating the equivalent artificial lens position and artificial lens power when an artificial lens is implanted in the capsular bag of an eye with Marfan syndrome and subluxated lens based on the prediction of the equivalent artificial lens position. Background Art

[0002] Marfan syndrome is the most common hereditary connective tissue disease, with an incidence of about 6 in 100,000. About 60% of patients with Marfan syndrome will experience subluxation of the lens, which manifests as varying degrees of refractive error, poor vision, or even blindness. Lens removal and intraocular lens implantation are currently the only effective radical cure. With the continuous advancement of surgical technology, the use of (modified) capsular tension rings and capsular retractors for intraocular lens capsular implantation has effectively reduced the postoperative vitreoretinal morbidity and effectively improved the patient's postoperative vision.

[0003] There are many intraocular lens calculation formulas available internationally, such as Barrett Universal II, EmmetropiaVerifying 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. For example, Barrett Universal II is developed based on a thick lens optical model, Emmetropia Verifying Optical is developed through an AI algorithm, and SRK / T is developed based on a thin lens optical model. Therefore, the intraocular lens data calculated by these calculation formulas in the same patient sample have different accuracy;

[0005] 2. Most of the existing formulas are models developed by overseas researchers based on patients with senile cataracts. Due to the FBN1 gene mutation, patients with Marfan syndrome often have flatter corneas, longer eye axes, ciliary body hypoplasia and other eye characteristics compared with cataract patients. These unique eye characteristics of patients with Marfan syndrome result in poor prediction results for subjects with Marfan syndrome who undergo in-bag intraocular lens implantation.

[0006] 3. And because the lens is not completely dislocated, the position of the lens of patients with Marfan syndrome changes, and it is impossible to accurately measure the lens thickness and anterior chamber depth of the patient before surgery. The wrong lens thickness and anterior chamber depth lead to an increase in the prediction error of the equivalent lens position in the existing intraocular lens power calculation formula. The prediction error of the equivalent lens position is the main source of the prediction error of the intraocular lens power, which makes the existing intraocular lens calculation formula have a large error, and refractive accidents often occur after surgery.

[0007] Excessive myopia after surgery often causes Marfan syndrome patients to feel inferior, and in severe cases, even a decrease in corrected visual acuity; while excessive hyperopia is not conducive to patients' close-range work and makes amblyopia training more difficult, thus affecting the patient's willingness to undergo surgery on the second eye.

[0008] Currently, there is a lack of intraocular lens calculation methods suitable for patients with Marfan syndrome and subluxated lens. Therefore, there is an urgent need for a calculation tool that is independent of anterior chamber depth and lens thickness and can accurately calculate the refractive change in patients with Marfan syndrome after in-bag intraocular lens implantation, so as to help patients choose the degree of intraocular lens, thereby achieving an ideal long-term refractive state and increasing the satisfaction of patients and their families. Summary of the invention

[0009] In view of the current status of intraocular lens power calculation for patients with congenital subluxated lens in Marfan syndrome, the present invention aims to provide a prediction method, system, device, storage medium and computer program product that are easy to use, independent of anterior chamber depth and lens thickness, suitable for the ocular characteristics of Marfan syndrome, and can accurately calculate the equivalent intraocular lens position and intraocular lens power, so as to help patients with congenital subluxated lens in Marfan syndrome to more accurately calculate the equivalent intraocular lens position and intraocular lens power, effectively reduce postoperative refractive errors, and achieve a more ideal postoperative refractive state.

[0010] Therefore, the first object of the present invention is to provide a method for predicting the equivalent intraocular lens position for a subluxated lens eye with Marfan syndrome, wherein the method uses an optimized equivalent intraocular lens position prediction model to obtain prediction data of the equivalent intraocular lens position, wherein the equivalent intraocular lens position prediction model includes a long axial equivalent intraocular lens position prediction submodel and a short axial equivalent intraocular lens position prediction submodel.

[0011] The prediction method includes the following steps:

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

[0013] (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;

[0014] (3) According to the judgment of step (2), based on the patient's preoperative data obtained in step (1), the predicted postoperative theoretical equivalent intraocular lens position ELP is calculated by the equivalent intraocular lens position prediction model. T ;

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

[0016] Preferably, the present invention provides a method for predicting the equivalent intraocular lens position for intraocular lens capsular bag implantation in eyes with Marfan syndrome and subluxated lens.

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

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

[0019] Preferably, the demographic characteristic parameters include gender G.

[0020] Preferably, the information about the artificial lens to be implanted includes the model of the artificial lens to be implanted.

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

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

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

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

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

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

[0027] Preferably, the postoperative theoretical equivalent intraocular lens position ELP of the long axial equivalent intraocular lens position prediction submodel T The calculation formula is:

[0028] ELP T =b1×AL+b2×CCR+b0;

[0029] Theoretical equivalent intraocular lens position (ELP) after surgery of the short axial equivalent intraocular lens position prediction submodel T The calculation formula is:

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

[0031] Among them, ELP T is the theoretical equivalent intraocular lens position after surgery, in mm;

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

[0033] G is sex: when the patient is female, G is 0; when the patient is male, G is 1;

[0034] H is the corneal height in mm;

[0035] WTW is the corneal diameter in mm;

[0036] CCR is the radius of corneal curvature, in mm, 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 intraocular lens constants.

[0038] Preferably, the postoperative theoretical equivalent intraocular lens position ELP of the equivalent intraocular lens position prediction model is T The calculation formula is:

[0039]

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

[0041] Preferably, the intraocular lens constants are applicable to 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 calculation formula of the corneal curvature radius 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; K2 is the patient's steep axis corneal curvature, in D;

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

[0048]

[0049] Among them, H is the patient's corneal height, in mm; CCR is the patient's corneal curvature radius, in mm; WTW is the patient's corneal diameter, in mm.

[0050] The second object of the present invention is to provide a method for constructing an equivalent intraocular lens position prediction model for a Marfan syndrome lens subluxation eye, comprising the following steps:

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

[0052] Preferably, the patient information in the above database includes one or more selected from the group consisting of patient basic data, patient preoperative eye biological parameters, patient optometry examination, demographic characteristic parameters, and implanted artificial lens information.

[0053] Preferably, the above database includes the patient's preoperative ocular biological parameters, the patient's optometry examination, demographic characteristic parameters, and implanted artificial lens information.

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

[0055] Preferably, the preoperative ocular biological parameters include one or more parameters selected from the group consisting of 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 characteristic parameters include one or more parameters selected from the patient's age Age and gender G.

[0057] Preferably, the patient's optometry examination includes a selection of the patient's optometry refraction R 1-3 months after surgery. test , one or more parameters of postoperative best corrected visual acuity BCVA.

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

[0059] Step 2: Based on the vergence formula, reverse the patient's postoperative equivalent intraocular lens position.

[0060] Preferably, the above vergence formula is as follows:

[0061]

[0062] where ELP is the preoperatively predicted equivalent intraocular lens position, in mm;

[0063] R x is the planned reserved postoperative optometry diopter of the patient, in D;

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

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

[0066] K is the patient's average corneal curvature before surgery, 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 eyepiece distance, the value is 12, and the unit is mm.

[0068] IOL power It is the power of the implanted artificial lens, measured in D.

[0069] Furthermore, the reverse formula of the equivalent intraocular lens position is derived based on the above vergence formula, and the reverse equivalent intraocular lens position ELP is obtained using the reverse formula of the equivalent intraocular lens position r .

[0070] Preferably, the inverse formula for the equivalent intraocular lens position is as follows:

[0071]

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

[0073] R test is the patient's optometry refraction 1-3 months after surgery, in D;

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

[0075] K is the patient's average corneal curvature before surgery, 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 aqueous humor or vitreous body, which is 1.3375 and has no unit;

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

[0078] IOL power It is the power of the artificial lens implanted in the patient, measured in D.

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

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

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

[0082] Preferably, step 4 specifically includes:

[0083] Taking the preoperative axial length equal to the sub-model judgment cut-off value as the boundary, patients with different axial lengths are divided, and using the above training set, the characteristic parameters related to the equivalent intraocular lens position are analyzed for patients whose axial length is greater than the sub-model judgment cut-off value and less than or equal to the sub-model judgment cut-off value, respectively, wherein the above characteristic parameters include one or more parameters of the patient's preoperative ocular biological parameters and / or one or more parameters of the demographic characteristic parameters;

[0084] For patients whose axial length was greater than the cut-off value of the sub-model and less than or equal to the cut-off value of the sub-model, 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 respectively, and the generalized multiple linear regression model was used to construct the above equivalent intraocular lens position prediction model;

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

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

[0087] More preferably, the sub-model judgment cut-off value is about 24 mm.

[0088] More preferably, the sub-model judgment cut-off value is 24 mm

[0089] Preferably, the analysis in step 4 adopts 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 equivalent intraocular lens position prediction submodel is T The calculation formula is:

[0091] ELP T =b1×AL+b2×CCR+b0;

[0092] Theoretical equivalent intraocular lens position (ELP) after surgery of the above short axial equivalent intraocular lens position prediction submodel T The calculation formula is:

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

[0094] Among them, ELP Tis the theoretical equivalent intraocular lens position after surgery, in mm; AL is the axial length before surgery, in mm; G is the patient's gender: when the patient is female, G is 0; when the patient is male, G is 1; H is the patient's corneal height, in mm; WTW is the patient's corneal diameter, in mm; CCR is the patient's corneal curvature radius, in mm, calculated from the flat axis corneal curvature K1 and the steep axis corneal curvature K2.

[0095] More preferably, the calculation formula for predicting the theoretical equivalent intraocular lens position after surgery of the equivalent intraocular lens position prediction model obtained according to the above construction method is:

[0096]

[0097] Preferably, the corneal curvature radius CCR calculation formula of the prediction model is:

[0098]

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

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

[0101]

[0102] Among them, H is the patient's corneal height, in mm; CCR is the patient's corneal curvature radius, in mm; 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 capsular bag implantation in eyes with Marfan syndrome and subluxated lens.

[0104] The third object of the present invention is to provide a method for predicting the power of an intraocular lens for a subluxated lens eye with Marfan syndrome, 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 curvature radius CCR according to the corneal curvature radius calculation formula in the equivalent intraocular lens position prediction method;

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

[0108] 4) According to the postoperative target refraction Robj , obtain the calculated value of the artificial lens power to be implanted IOL power-cal ,

[0109] The calculated value of the artificial lens power to be implanted is calculated according to the following formula: power-cal :

[0110]

[0111] Where Z1 is the equivalent refractive power produced by the refractive medium in the corneal plane or the eyeglass plane at the equivalent intraocular lens position;

[0112] When the postoperative target refraction R obj When it is 0.00D, the refractive power of the glasses plane is zero, and there is no need to calculate the equivalent refractive power generated by the refractive medium of the glasses plane at the equivalent intraocular lens position. Z1 is calculated according to the following formula:

[0113]

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

[0115]

[0116] IOL power-cal It is the calculated value of the power of the artificial lens to be implanted, in D;

[0117] ELP T is the theoretical equivalent intraocular lens position after surgery, in mm;

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

[0119] R obj is the postoperative target refraction, in D;

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

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

[0122] Preferably, the present invention provides a method for predicting the power of an intraocular lens for intraocular lens capsular bag implantation in eyes with Marfan syndrome and subluxated lens.

[0123] Preferably, the above prediction method further comprises obtaining a recommended intraocular lens power IOL power-rec and simulated intraocular lens power IOL power-sim .

[0124] Recommended IOL Powers power-rec N or N.50D, where N is an integer and the recommended IOL power power-rec Take the calculated value of N or N.50D that corresponds to the power of the artificial lens to be implanted. power-cal The closest value;

[0125] If the calculated value of the artificial lens power to be implanted is power-cal Recommended IOL power power-rec If the absolute value of the difference when taking N or N.50D is the same, the recommended intraocular lens power is N and N.50D.

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

[0127] Simulated IOL power power-sim Recommended IOL power power-rec The intraocular lens powers obtained after +1.50D, +1.00D, +0.50D, -0.50D, -1.00D, and -1.50D respectively.

[0128] A fourth object of the present invention is to provide a method for predicting the actual postoperative diopter of a Marfan syndrome lens subluxation eye, comprising the following steps:

[0129] Recommended IOL power according to the IOL power prediction method power-rec Or simulated intraocular lens power IOL power-sim , the actual postoperative refraction R is obtained by the following calculation formula rec :

[0130]

[0131] Wherein, when calculating the recommended intraocular lens power IOL power-rec The actual postoperative refraction R rec hour,

[0132]

[0133] When calculating the simulated intraocular lens power IOL power-sim The actual postoperative refraction R rec hour,

[0134]

[0135] IOL power-rec is the recommended intraocular lens power, in D; IOL power-simis the simulated intraocular lens power, in D; AL is the preoperative axial length, in mm; R rec is the actual refractive power after surgery, in D; V is the lens-eye distance, which is 12, in mm; Z2 is the equivalent refractive power of the artificial lens to be implanted in the corneal plane, in D; CCR is the corneal curvature radius, in mm; ELP T is the theoretical equivalent intraocular lens position after surgery, in mm.

[0136] Preferably, the present invention provides a method for predicting the actual refractive power after intraocular lens capsular bag implantation for eyes with Marfan syndrome and subluxated lens.

[0137] The fifth object of the present invention is to provide an equivalent artificial lens position prediction system for eyes with Marfan syndrome and subluxated lens, the prediction system adopts an equivalent artificial lens position prediction method or a prediction system to execute an equivalent artificial lens position prediction model constructed by a method for constructing an equivalent artificial lens position prediction model.

[0138] Preferably, the present invention provides an equivalent intraocular lens position prediction system for intraocular lens capsular bag implantation in eyes with Marfan syndrome and subluxated lens.

[0139] The sixth object of the present invention is to provide an artificial lens power prediction system for eyes with Marfan syndrome and subluxated lens, the prediction system adopts an equivalent artificial lens position prediction method or the prediction system executes an equivalent artificial lens position prediction model constructed by the construction method of the equivalent artificial lens position prediction model.

[0140] Preferably, the present invention provides an intraocular lens power prediction system for intraocular lens capsular bag implantation in eyes with Marfan syndrome and subluxated lens.

[0141] Furthermore, the above 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 the patient's preoperative data, including basic patient data, ocular biological parameters, demographic parameters, and postoperative target refraction R. obj , and information about the artificial lens to be implanted;

[0143] The judgment module executes the judgment step in the equivalent intraocular lens position prediction method to judge 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 position calculation module, which executes the equivalent intraocular lens position prediction model in the equivalent intraocular lens position prediction method to obtain the postoperative theoretical equivalent intraocular lens position ELP T ;

[0145] Preferably, the calculation module further includes an intraocular lens power calculation module, which executes the intraocular lens power prediction method to obtain the recommended intraocular lens power IOL power-rec and simulated intraocular lens power IOL power-sim , and performing a prediction method for the patient's actual postoperative refraction to obtain the actual postoperative refraction R rec ;

[0146] The output module includes displaying and / or outputting the postoperative target refraction R obj , recommended intraocular lens power IOL power-rec And its corresponding actual postoperative refraction R rec , and / or display of simulated intraocular lens power IOL power-sim And its corresponding actual postoperative refraction R rec ;

[0147] Preferably, the output module includes further displaying and / or outputting the patient's preoperative data, and / or the data of the calculation 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, wherein the display module is used to display the postoperative target refraction R obj , recommended intraocular lens power IOL power-rec And its corresponding actual postoperative refraction R rec , and / or display of simulated intraocular lens power IOL power-sim And its corresponding actual postoperative refraction R rec ;

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

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

[0152] Ocular biological parameters included preoperative axial length AL, flat axis keratometer K1, steep axis keratometer K2, and corneal diameter WTW;

[0153] The demographic characteristic parameters include one or more parameters selected from gender G and age Age.

[0154] More preferably, the demographic characteristic parameters include gender G.

[0155] Preferably, the information about the artificial lens to be implanted includes the model of the artificial lens to be implanted.

[0156] Preferably, the prediction system determines, based on the preoperative axial length data input into the input module, to use 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 judgment cutoff value; and to use the long axial length equivalent intraocular lens position prediction sub-model for patients whose axial length is greater than the sub-model judgment cutoff value.

[0157] Furthermore, the calculation module is written based on R language and is based on the vergence formula.

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

[0159] Preferably, the 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.

[0160] Further, the intraocular lens constants can be used for the above intraocular lens models;

[0161] Preferably, the prediction system includes a visible carrier, a web calculator, and a small program;

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

[0163] The seventh object of the present invention is to provide a computer-readable storage medium, on which a computer program is stored, and the computer program implements the steps of an equivalent artificial lens position prediction method or an artificial lens power prediction method.

[0164] The eighth object of the present 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 artificial lens position prediction method or an artificial lens power prediction method.

[0165] The ninth object of the present invention is to provide a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of an equivalent intraocular lens position prediction method or an intraocular lens power prediction method.

[0166] The tenth object of the present invention is to provide a method for using a system for predicting the power of an intraocular lens for a subluxated lens eye with Marfan syndrome, 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 Download to get the PDF report file.

[0171] Preferably, the patient's preoperative data includes selected from the patient's basic data, eye biological parameters, demographic parameters, postoperative target refractive power R obj , one or more of the information of the artificial lens to be implanted.

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

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

[0174] Preferably, the demographic characteristic parameters include gender G parameter.

[0175] Preferably, the present invention provides a method for using a system for predicting the power of an intraocular lens for intraocular lens capsular bag implantation in an eye with subluxated lens of Marfan syndrome.

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

[0177] 1. The method for predicting the intraocular lens power of a Marfan syndrome lens subluxation eye based on predicting the equivalent intraocular lens position of the present invention can improve the accuracy of intraocular lens power calculation for Marfan syndrome patients.

[0178] 2. The prediction method and system of the present invention are suitable for calculating the intraocular lens power of patients with Marfan syndrome of all ages. The most accurate formula currently published internationally is the Barrett Universal II formula. However, since lens dislocation will affect the measurement of lens thickness, the accuracy of this formula in patients with Marfan syndrome is poor. The present invention uses the vergence formula to back-calculate the patient's postoperative equivalent intraocular lens position, and establishes prediction models for patients with axial length greater than 24mm and less than or equal to 24mm, respectively, thereby improving the accuracy of postoperative intraocular lens power calculation. The proportion of patients with refractive errors within 1.00D in the Barrett Universal II formula is 70.2%, while the proportion of patients with refractive errors within 1.00D described in the present invention is 83.5%.

[0179] Furthermore, the invention is easy to operate and convenient for clinical use.

[0180] 3. Compared with the traditional construction method, the present invention adopts 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 actual postoperative refraction and the target refraction is smaller than that of the existing formula. The prediction model is automatically selected according to the patient's gender and eye axis, further improving the calculation accuracy of patients with Marfan syndrome.

[0182] 5. The present invention is based on a prediction model of equivalent intraocular lens position, combined with the unique eye characteristic parameters and gender parameters of patients with Marfan syndrome. It can achieve accurate calculation of the intraocular lens power of patients with Marfan syndrome without relying on unreliable preoperative measurement data such as anterior chamber depth and lens thickness.

[0183] 6. The present invention improves prediction accuracy and can be used to guide patients in selecting intraocular lens power before surgery, thereby making the long-term refractive power closer to the ideal value, helping to improve the visual quality of patients and having high clinical application value.

[0184] 7. The present invention can further rely on the Internet platform to provide users with online calculation services, provide patients, doctors, scientific researchers, etc. around the world with an intraocular lens power calculation method suitable for patients with Marfan syndrome, provide more convenient scientific research tools, and make up for the differences in diagnosis and treatment levels of different medical institutions between regions, thereby benefiting more patients with Marfan syndrome.

[0185] 8. The present invention can be used to calculate the intraocular lens power of patients with Marfan syndrome and subluxated lens who are planning to have an intraocular lens implanted in the capsular bag. The present invention automatically incorporates the lens parameters of commonly used intraocular lens models for lens dislocation. The calculation results corresponding to different models of intraocular lenses can be called up by simply selecting on the left side of the output interface. The present invention is applicable to different models of intraocular lenses, making it convenient for use in scientific research, clinical practice, etc.

[0186] 9. The prediction model of the present invention has good adaptability and can continuously train and optimize model parameters based on new data obtained from clinical use and long-term follow-up observations, and perform incremental learning to further improve the accuracy of prediction.

[0187] 10. The calculation software of the present invention has independent formulas and independent codes, is not subject to other restrictions, can be used independently and updated independently.

[0188] 11. The web calculator of the intraocular lens power of the eye with Marfan syndrome and subluxated lens based on the equivalent intraocular lens position after surgery of the present invention has a simple interface, simple operation and is easy to use.

[0189] The present invention constructs an equivalent intraocular lens position prediction model by analyzing the equivalent intraocular lens position of patients with Marfan syndrome after intra-capsular intraocular lens implantation in the real world. It is found that the equivalent intraocular lens position of patients with Marfan syndrome is closely related to the patients' preoperative ocular biological parameters, and the influencing factors of the equivalent intraocular lens position of patients with different axial lengths are different. BRIEF DESCRIPTION OF THE DRAWINGS

[0190] Figure 1 A schematic flow chart of the method for predicting the position of an equivalent intraocular lens according to the present invention.

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

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

[0193] Figure 4 Schematic diagram of the construction process of the prediction system of the present invention.

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

[0195] Figure 6 Schematic diagram of the operation flow of the prediction system of the present invention.

[0196] Figure 7 The prediction error of patient refraction of the present invention and the traditional formula is shown. DETAILED DESCRIPTION

[0197] The present invention will be further described below in conjunction with specific examples. It should be understood that the following examples and accompanying drawings are only used to illustrate the present invention and are not intended to limit the scope of the present invention. The methods in the following examples where specific conditions are not specified are usually carried out according to conventional conditions or the requirements of clinical guidelines. The embodiments should not be regarded as limitations of the present invention, but any improvements made based on the spirit of the present invention should be within the scope of protection of the present invention.

[0198] Glossary:

[0199] Marfan syndrome: due to the mutation of fibrillin 1 (FBN1) gene, the patient has systemic developmental abnormalities, often manifested as slender limbs and surgery; slender body, aortic aneurysm, aortic dissection, lens subluxation and other diseases.

[0200] Congenital subluxation of the lens: Gene mutation causes the lens suspensory ligament to lose its normal fiber structure, causing the suspensory ligament to loosen or even rupture, leading to decreased vision or even blindness. 80% of patients with Marfan syndrome suffer from this condition.

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

[0202] In-the-bag IOL implantation refers to a surgical procedure in which an IOL is implanted into the patient's capsular bag.

[0203] Intraocular lens power: IOL power , the refractive power of the artificial lens.

[0204] Diopter: The unit of refractive power, expressed in D, refers to the refractive power of parallel light passing through the refractive material when the focus is 1m, which is 1 diopter or 1D.

[0205] Equivalent intraocular lens position: effective lens position, ELP, is the vertical distance from the posterior vertex of the cornea to the visual axis of the optical surface of the intraocular lens.

[0206] Axial length: AL, usually refers to the anterior-posterior diameter of the eyeball, which is the length from the corneal vertex to the macula. Corneal diameter: White to White, WTW, refers to the distance from white to white.

[0207] Plano-axis keratometric curvature: K1, the curvature value of the cornea at its flattest part.

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

[0209] Average corneal curvature: K, the average value of the curvature radius detected by the keratometer, 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, corneal curvature radius represents the curvature radius of the anterior surface of the cornea.

[0211] Corneal height: corneal height is the distance from the corneal vertex to the iris plane.

[0212] The steps, algorithms or equations of data collection, storage, transmission, calculation and processing not specifically described in the following embodiments, as well as the readable storage medium, computer equipment, computer program products, etc. not specifically described can all be implemented through the contents disclosed in the prior art.

[0213] As used herein, “ / ” may mean “and” or “or”.

[0214] As used herein, the words “including”, “having”, etc. are open-ended terms, meaning including but not limited to.

[0215] As used herein, the words "preferred", "more preferred", etc. refer to embodiments that can provide certain beneficial technical effects in certain circumstances. However, other embodiments may also be preferred under the same or other circumstances. The words "preferred", "more preferred", etc. cannot be understood to mean that other embodiments are not applicable, cannot be understood to exclude other embodiments from the scope of the present invention, and are not used to limit the scope of the present invention.

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

[0217] The present invention provides a method for predicting the equivalent intraocular lens position for a subluxated lens in a Marfan syndrome eye. The method uses an optimized equivalent intraocular lens position prediction model to obtain prediction data of the equivalent intraocular lens position. The equivalent intraocular lens position prediction model includes a long axial length equivalent intraocular lens position prediction submodel and a short axial length equivalent intraocular lens position prediction submodel.

[0218] In a specific embodiment, the flowchart of the above prediction method is as follows Figure 1 As shown, the following steps are included:

[0219] (1) Obtaining the patient's preoperative data; (2) Determining whether the patient should use the long axial equivalent intraocular lens position prediction submodel or the short axial equivalent intraocular lens position prediction submodel; (3) According to the judgment of step (2), based on the patient's preoperative data obtained in step (1), the equivalent intraocular lens position prediction model is used to calculate the predicted postoperative theoretical equivalent intraocular lens position ELP T .

[0220] In a specific embodiment, 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 equal to the sub-model judgment demarcation value as the demarcation value, and can fluctuate up and down by 1% , 5% or 10% based on the demarcation value.

[0222] The sub-model judgment cutoff value is used as the boundary 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 a specific embodiment, the present invention uses the preoperative axial length of 24 mm as the boundary, or uses any value within the range of 24 mm ± 1%, 24 mm ± 5%, or 24 mm ± 10% as the boundary;

[0224] In a specific embodiment, the sub-model judgment cut-off value can be any value in the range of 21.6 mm to 26.4 mm; more specifically, the preoperative axial length can be 21.6 mm, 24 mm, 24.05 mm, 24.1 mm, 24.2 mm, 24.25 mm, 25 mm, or 26.4 mm.

[0225] In a specific embodiment, the above step (2) specifically includes: the sub-model judgment cutoff value is about 24 mm. When the preoperative axial length AL is greater than the sub-model judgment cutoff 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 cutoff value, the short axial length equivalent intraocular lens position prediction sub-model is used for prediction.

[0226] The present invention also provides a method for constructing an equivalent intraocular lens position prediction model for eyes with Marfan syndrome and partial dislocation of the lens, comprising the following steps: step 1, establishing a real-world database based on information of patients with Marfan syndrome who have undergone intraocular lens capsular bag implantation; step 2, inversely calculating the patient's postoperative equivalent intraocular lens position based on the vergence formula, and using the equivalent intraocular lens position inverse calculation formula to obtain the inverse equivalent intraocular lens position ELP r ; Step 3, divide the data obtained in step 2 into a training set and a test set; Step 4, construct and test and evaluate the above prediction model through the training set and the test set respectively.

[0227] The present invention constructs a prediction model for predicting the position of an equivalent intraocular lens independent of anterior chamber depth and lens thickness.

[0228] The present invention further provides a method for predicting the intraocular lens power for a Marfan syndrome lens subluxation eye, comprising the following steps: 1) obtaining a postoperative theoretical equivalent intraocular lens position ELP according to an equivalent intraocular lens position prediction method; T ; 2) Obtain corneal curvature radius CCR; 3) Set postoperative target refraction R obj ; 4) According to the postoperative target refraction R obj , obtain the calculated value of the artificial lens power to be implanted IOL power-cal .

[0229] In some non-limiting embodiments, the present invention provides a system for predicting the power of an intraocular lens for eyes with Marfan syndrome and subluxated lens, the system adopting the above-mentioned equivalent intraocular lens position prediction method or executing an equivalent intraocular lens position prediction model constructed by the above-mentioned method for constructing an equivalent intraocular lens position prediction model.

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

[0231] In some non-limiting embodiments, the present invention provides a computer-readable storage medium storing a computer program for implementing the steps of the above-mentioned 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 that executes the computer program on the above-mentioned computer-readable storage medium.

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

[0234] Embodiment 1 Design idea and calculation method

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

[0236] The prediction model of equivalent intraocular lens position of patients was constructed based on the Marfan syndrome patient database, and the correlation between equivalent intraocular lens position and patient parameters was analyzed and generated using a generalized multiple linear regression model. The specific method is as follows.

[0237] 1) Database establishment

[0238] Real-world databases of patients with Marfan syndrome include:

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

[0240] Demographic characteristic parameters, including gender G, patient age Age, etc.;

[0241] Preoperative ocular biological parameters, including preoperative axial length AL, corneal diameter WTW, flat axis corneal curvature K1, steep axis corneal curvature K2, preoperative anterior chamber depth ACD, preoperative lens thickness LT, etc.;

[0242] Patient optometry examination, including the patient's optometry refraction R 1-3 months after surgery test , and postoperative best-corrected visual acuity BCVA;

[0243] Patient's IOL implant information, including surgical method, IOL model, and IOL power power ;

[0244] Only one eye of the same patient was randomized.

[0245] Patient samples were collected from 250 patients with Marfan syndrome who underwent intraocular lens implantation for congenital subluxation of the lens at the Affiliated Eye, Ear, Nose and Throat Hospital of Fudan University from 2020 to 2024. This project has been reviewed by the Ethics Committee of the Affiliated Eye, Ear, Nose and Throat Hospital of Fudan University.

[0246] Furthermore, the embodiment divides patients with different axial lengths based on 24 mm, and analyzes the correlation between the equivalent intraocular lens position and different parameters.

[0247] 2) Based on the vergence formula, the patient's postoperative equivalent intraocular lens position is reversed.

[0248] The formula for vergence is as follows:

[0249]

[0250] Where ELP is the equivalent intraocular lens position predicted before surgery, in mm;

[0251] R x The postoperative optometry diopter reserved for the patient is in D;

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

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

[0254] K is the average corneal curvature of the patient before surgery, in D;

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

[0256] IOL power is the power of the implanted intraocular lens, in D;

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

[0258]

[0259] Among them, ELP r is the reverse equivalent intraocular lens position, in mm;

[0260] R test is the patient's optometry refraction 1-3 months after surgery, in D;

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

[0262] K is the patient's average corneal curvature before surgery, 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 aqueous humor or vitreous body, and the refractive index of aqueous humor or vitreous body is 1.3375, without unit;

[0264] V is the eyepiece distance, the value is 12, the unit is mm;

[0265] IOL power is the power of the intraocular lens implanted in the patient, in D;

[0266] Using the above-mentioned inverse formula of equivalent intraocular lens position, the inverse equivalent intraocular lens position ELP is obtained. r .

[0267] 3) Data analysis and processing

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

[0269] Find the correlation of feature parameters and build a prediction model through the above training set:

[0270] Patients with different axial lengths were divided based on the preoperative axial length of 24 mm. The above training set was used to analyze the characteristic parameters related to the equivalent intraocular lens position for patients with axial lengths greater than 24 mm and less than or equal to 24 mm, respectively.

[0271] Univariate analysis and then multivariate linear regression analysis were performed to determine the preoperative ocular biological parameters and gender parameters that were closely related to the equivalent intraocular lens position.

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

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

[0274] Figure 3 This is the correlation analysis between equivalent intraocular lens position and gender parameters.

[0275] like Figure 3 The middle (A) figure shows that when the axial length is less than or equal to 24 mm, the significant P value between different genders is 0.034, and the P value is less than 0.05, which is a significant difference;

[0276] (B) The figure shows that there is no significant difference between different genders when the axial length is greater than 24 mm.

[0277] Since the correlation between the equivalent intraocular lens position and postoperative refractive prediction error is different in patients with Marfan syndrome with different axial lengths, the equivalent intraocular lens position of patients with axial length longer than 24 mm is closely related to the preoperative axial length AL and corneal curvature radius CCR due to the small proportion of the anterior segment in the eyeball; while the equivalent intraocular lens position of patients with axial length less than or equal to 24 mm 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 intraocular lens position for patients with different axial lengths.

[0278] Furthermore, 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 for patients with axial length greater than 24 mm and less than or equal to 24 mm, respectively. The generalized multiple linear regression model was used to construct the equivalent intraocular lens position prediction model.

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

[0280] 4) Establishment of prediction model

[0281] Based on this, the generalized multivariate linear regression equation was used to obtain the prediction model of the equivalent intraocular lens position. The calculation formula of the theoretical equivalent intraocular lens position after surgery of the prediction model is as follows:

[0282]

[0283] in,

[0284] ELP T is the theoretical equivalent intraocular lens position after surgery, in mm;

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

[0286] G is the patient's gender: when the patient is female, G is 0; when the patient is male, G is 1;

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

[0288] WTW is the patient's white-to-white (i.e., corneal diameter) in mm;

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

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

[0291] Further, IOL constants can be used for common IOL models as well as other IOL models.

[0292] The corresponding relationship between common intraocular lens models and intraocular lens constants is as follows:

[0293]

[0294]

[0295] When the IOL 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 embodiments list the cases of TECNIS ZCB00 / PCB00 / DCB00 / ICB00 and AcrySof IQ SN60AT / SN60WF models, and the method and system of the present invention can be used in other intraocular lens models not limited to the above models.

[0298] When other artificial lens models are used, the artificial lens constants of other artificial lens models are obtained by the method provided by the present invention.

[0299] The corneal curvature radius CCR is calculated using the following formula:

[0300]

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

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

[0303]

[0304] Among them, H is the patient's corneal height, in mm; CCR is the patient's corneal radius of curvature, in mm; WTW is the patient's white-to-white (i.e., corneal diameter), in mm.

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

[0306] Obtaining preoperative data of patients includes:

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

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

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

[0310] (4) Information on the artificial lens to be implanted: including the model of the artificial lens to be implanted.

[0311] The above data were introduced into the equivalent intraocular lens position prediction model obtained in step 1. Further, the long axial length equivalent intraocular lens position prediction sub-model and the short axial length equivalent intraocular lens position prediction sub-model were applied to patients with axial length greater than 24 mm and less than or equal to 24 mm, respectively, to calculate the theoretical equivalent intraocular lens position ELP after surgery. T .

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

[0313] Theoretical equivalent intraocular lens position (ELP) after surgery of the short axial equivalent intraocular lens position prediction submodel T The calculation formula is: ELP T =a1×AL+a2×G+a3×H+a4×WTW+a0.

[0314] In the embodiment, the preoperative axial length of 24 mm is used as the boundary, but technicians in this industry should understand that a value of about 24 mm, or 24 mm±10% as the boundary falls within the scope of the invention claimed for protection.

[0315] Step 3: Calculate the power of the artificial lens that the patient needs to implant:

[0316] (I) Obtain the calculated value of the artificial lens power to be implanted

[0317] The formula for calculating the power of the intraocular lens that the patient needs to implant is based on the vergence formula and the theoretical equivalent intraocular lens position ELP after surgery. T , corneal curvature radius CCR, and postoperative target refraction R obj Calculate the power of the intraocular lens that the patient needs to implant.

[0318] According to the above steps, the postoperative theoretical equivalent intraocular lens position ELP is obtained. T , according to the calculation formula of corneal curvature radius, the corneal curvature radius CCR is obtained, and the postoperative target refractive power R is set obj According to the vergence formula, the calculation formula for the required implanted intraocular lens power is as follows:

[0319]

[0320] Where Z1 is the equivalent refractive power produced by the refractive medium in the corneal plane or the eyeglass plane at the equivalent intraocular lens position.

[0321] When the postoperative target refraction R obj When it is 0.00D, the refractive power of the glasses plane is zero, and there is no need to calculate the equivalent refractive power generated by the refractive medium of the glasses plane at the equivalent intraocular lens position. Z1 is calculated according to the following formula:

[0322]

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

[0324]

[0325] IOL power-cal It is the calculated value of the power of the artificial lens to be implanted, in D;

[0326] ELP T is the theoretical equivalent intraocular lens position after surgery, in mm;

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

[0328] R obj is the postoperative target refraction, in D;

[0329] CCR is the radius of curvature of the patient's cornea, in mm.

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

[0331] Taking 0.50D as the unit of change, take the calculated value of the IOL power to be implanted power-cal The closest value to the recommended IOL power power-rec .

[0332] Recommended IOL Powers power-recN or N.50D, where N is an integer, calculated based on the power of the artificial lens to be implanted. power-cal , the above recommended intraocular lens power IOL power-rec Take the calculated value of N or N.50D that matches the power of the artificial lens to be implanted. power-cal The closest value.

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

[0334] If IOL power-cal IOL power-rec If the absolute value of the difference is the same when N or N.50D is taken, then the IOL power-rec N and N.50D.

[0335] For example, the IOL calculated by the formula power-cal The corresponding IOL is 14.90D. power-rec It is 15.00D.

[0336] For example, the IOL calculated by the formula power-cal The corresponding IOL is 14.25D. power-rec It is 14.00D and 14.50D.

[0337] (III) Obtaining simulated intraocular lens power

[0338] According to the above recommended intraocular lens power IOL power-rec The simulated intraocular lens power IOL was obtained after +1.50D, +1.00D, +0.50D, -0.50D, -1.00D, and -1.50D respectively. power-sim .

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

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

[0341] Among them, the actual refraction R rec The calculation formula is as follows:

[0342] Recommended IOL power in step 3 power-rec Or simulated intraocular lens power IOL power-sim Step 2: Calculate the theoretical equivalent intraocular lens position ELP after surgery T, and the preoperative axial length AL, corneal curvature radius CCR to calculate the actual postoperative refractive power R rec :

[0343]

[0344] Wherein, when calculating the recommended intraocular lens power IOL power-rec The actual postoperative refraction R rec hour,

[0345]

[0346] Or, when calculating the simulated intraocular lens power IOL power-sim The actual postoperative refraction R rec hour,

[0347]

[0348] IOL power-rec is the recommended intraocular lens power, in D;

[0349] IOL power-sim is the simulated intraocular lens power, in D;

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

[0351] R rec is the actual refraction after surgery, in D;

[0352] V is the eyepiece distance, the value is 12, the unit is mm;

[0353] Z2 is the equivalent refractive power of the artificial lens to be implanted in the corneal plane, in D;

[0354] CCR is the radius of curvature of the patient's cornea, in mm.

[0355] Step 5: Get the calculation results:

[0356] The calculation results include the patient's recommended IOL power power-rec , the actual postoperative refraction R corresponding to the recommended intraocular lens power rec , postoperative target refraction R obj , simulated intraocular lens power IOL power-sim , the actual postoperative refraction R corresponding to the simulated intraocular lens power rec .

[0357] Example 2 Prediction system and software construction process

[0358] Based on the design ideas and calculation methods described in Example 1, a corresponding web calculator is developed and designed.

[0359] like Figure 4 It is a schematic 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 the patient's preoperative 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, postoperative target refraction R obj (adjustable, default value is -1.00D), the model of intraocular lens to be implanted, and the selection of eye type (right or left) and gender G (male or female).

[0361] Judgment module: According to 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: including equivalent intraocular lens position calculation module and intraocular lens power calculation module.

[0363] The equivalent intraocular lens position calculation module uses the postoperative equivalent intraocular lens position prediction model of step 1 of Example 1 to obtain the predicted theoretical postoperative equivalent intraocular lens position according to the above prediction model. Different equivalent intraocular lens position prediction models are used for patients with AL less than or equal to 24 mm and greater than 24 mm.

[0364] The intraocular lens power calculation module calculates the recommended intraocular lens power and its corresponding actual postoperative refractive power, the simulated intraocular lens power and its corresponding actual postoperative refractive power based on the calculation method of step three and step four of embodiment 1.

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

[0366] Output module: Display and / or output the recommended intraocular lens power obtained by the calculation module, the actual postoperative refraction corresponding to the recommended intraocular lens power, the simulated intraocular lens power, the actual postoperative refraction corresponding to the simulated intraocular lens power, and the postoperative target refraction R obj .

[0367] The output module can further display and / or output the patient's preoperative data, the recommended artificial lens power and the corresponding actual postoperative refractive power, etc., and the information of the calculation module and / or output module is a PDF file.

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

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

[0370] The web calculators developed and designed include:

[0371] 1. Input module: Input the patient's preoperative data, including 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, postoperative target refraction R obj (adjustable, default value is -1.00D), the model of intraocular lens to be implanted, and the selection of eye type (right or left) and gender G (male or female).

[0372] 2. Judgment module: According to the patient's preoperative axial length, with the preoperative axial length of 24 mm as the boundary, it is determined 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: Use the postoperative equivalent intraocular lens position prediction model of step 1 of Example 1 to obtain the predicted theoretical postoperative equivalent intraocular lens position according to the above prediction model. Different equivalent intraocular lens position prediction models are used for patients with AL less than or equal to 24 mm and greater than 24 mm.

[0374] 4. Intraocular lens power calculation module: This module is based on R language and is written based on the vergence formula.

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

[0376] The IOL constants for IOL models commonly used by Marfan syndrome patients are built into the calculation. These common IOL models include TECNIS PCB00, TECNIS ZCB00, TECNISDCB00, TECNIS ICB00, AcrySof IQ SN60AT, and AcrySof IQ SN60WF.

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

[0378] Then substitute it into the artificial lens power calculation module to obtain the actual postoperative refractive power corresponding to the simulated artificial lens power.

[0379] 5. Display module: including displaying the recommended intraocular lens power obtained based on the calculation module, the actual postoperative refraction corresponding to the recommended intraocular lens power, the simulated intraocular lens power, the actual postoperative refraction corresponding to the simulated intraocular lens power, and the postoperative target refraction R obj .

[0380] 6. Report output module: outputs the patient's preoperative data, recommended intraocular lens power, actual postoperative refractive power corresponding to the recommended intraocular lens power, and other information of the calculation module and / or display module as a PDF file.

[0381] The schematic diagram of the construction process of the web calculator is as follows Figure 5 shown.

[0382] Example 3 Prediction system usage and operation process

[0383] The invention can be used for calculating the intraocular lens power of patients with Marfan syndrome and subluxated lens who are going to have intraocular lens implanted in the capsular bag, is applicable to intraocular lenses of different models, and is convenient for clinical use.

[0384] like Figure 6 As shown, the usage method and operation flow 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 refraction R on the input page. obj (adjustable, default value is -1.00D), the model of artificial lens to be implanted, select the eye (right eye or left eye) and gender G (male or female).

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

[0387] S3. Read calculation results / reports: View the intraocular lens power calculation results / reports on the output interface, including the results of different models of intraocular lenses.

[0388] S4. Output data: Click the download button at the bottom of the page to generate a report and download the PDF report.

[0389] The present invention does not need to use unreliable preoperative measurement data such as anterior chamber depth and lens thickness, thereby expanding the scope of application and reliability.

[0390] Example 4

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

[0392] Example 5

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

[0394] The patients in Example 4 and Example 5 had the same age, eye parameters and implanted intraocular lens models, but different genders, different equivalent intraocular lens positions after surgery, and a 1.00D difference in the implanted intraocular lens diopter.

[0395] Example 6

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

[0397] Patient samples were obtained from patients with Marfan syndrome who underwent intraocular lens implantation for congenital subluxation of the lens at the Affiliated Eye, Ear, Nose and Throat Hospital of Fudan University from 2020 to 2024. The average age of the patients was 6.58 years, of which 60 were younger than 18 years old and 15 were older than 18 years old. The male-to-female ratio was 1:1. This project has been reviewed by the Ethics Committee of the Affiliated Eye, Ear, Nose and Throat Hospital of Fudan University, registration number ChiCTR20000391132.

[0398] Furthermore, the traditional formulas in the prior art: SRK / T, Haigis, Holladay I, HofferQ were used to predict the above patients, and the prediction effect was compared with that of the present invention.

[0399] In the 75-person test set, the patient's refractive prediction error performance was calculated, such as Figure 7 shown.

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

[0401] Example 7

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

[0403] The comparison of the absolute prediction error performance of patients using the present invention and the traditional formulas in the prior art: SRK / T, Haigis, Holladay I, HofferQ, BUII, Kane is shown in the following table:

[0404] Table 1 Absolute prediction error of patients between this patent and traditional formula

[0405]

[0406] The unit of absolute prediction error is D, which is the patient's postoperative target refraction R when implanting an intraocular lens (IOL) according to the formula: obj Subtract the absolute value of the patient's actual refractive power during optometry 1-3 months after surgery; the degree of improvement indicates the reduction in the absolute prediction error compared with 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 statistical difference is present when it is less than 0.0125.

[0407] When using the traditional formula to predict patients with Marfan syndrome, 3-10% of patients with Marfan syndrome will have extreme refractive prediction errors, that is, errors exceeding 2.00 D. Compared with the traditional formula, the absolute prediction error of the present invention is smaller, and the absolute prediction error performance is significantly improved.

[0408] As shown in Example 6, in a test set of 75 people, compared with the traditional formula, the formula and method of the present patent not only reduces the prediction error of patients, but also reduces the occurrence of extreme prediction errors, thereby improving the reliability of the calculation results.

[0409] From the results of Example 7, it can be seen that in the test set of 75 people, by distinguishing the eye axis, the formula and method of the present patent can effectively reduce the absolute prediction error of the patient compared with the traditional formula, and improve the accuracy of the calculation results.

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

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

[0412] This prediction system is not only simple to operate and convenient for clinical use, but also has a small error between the predicted actual postoperative refraction and the target refraction, which improves the calculation accuracy. Therefore, it can be used to guide patients in the selection of intraocular lens power before surgery, so that the postoperative refraction is closer to the ideal value, which helps to improve the patient's visual quality and has a high application value in clinical practice.

[0413] The above shows and describes 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 above embodiments and descriptions are only for explaining the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for predicting the equivalent intraocular lens position for eyes with Marfan syndrome and subluxated lens, characterized in that: The prediction method uses an equivalent intraocular lens position prediction model to obtain prediction data of the equivalent intraocular lens position, wherein the equivalent intraocular lens position prediction model includes a long axial equivalent intraocular lens position prediction sub-model and a short axial equivalent intraocular lens position prediction sub-model. The prediction method comprises the following steps: (1) Obtaining preoperative data of the patient, wherein the preoperative data of the patient includes ocular biological parameters, demographic characteristic parameters, information of the artificial lens to be implanted, and postoperative target refractive power R obj One or more of; (2) determining 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) According to the judgment of step (2), based on the patient's preoperative data obtained in step (1), the predicted postoperative theoretical equivalent intraocular lens position ELP is calculated by the equivalent intraocular lens position prediction model. T ; Wherein, 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 characteristic parameters include gender G; the information on the artificial lens to be implanted includes the model of the artificial lens to be implanted; The step (2) specifically includes, when the preoperative axial length AL is greater than the sub-model judgment cutoff value, using the long axial length equivalent intraocular lens position prediction sub-model for prediction; When the preoperative axial length AL is equal to or less than the judgment cutoff value of the sub-model, 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 characteristic parameters respectively. The characteristic parameters used by the long axial length equivalent intraocular lens position prediction sub-model include the preoperative axial length AL and the corneal curvature radius CCR; The characteristic parameters used by the short axial equivalent intraocular lens position prediction sub-model include corneal height H, corneal diameter WTW, preoperative axial length AL and gender G; Preferably, the sub-model judgment cutoff value is 24 mm, and can fluctuate up or down by 10% based on the cutoff value.

2. The method for predicting the position of an equivalent intraocular lens according to claim 1, wherein: The postoperative theoretical equivalent intraocular lens position ELP of the long axial 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 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 is the theoretical equivalent intraocular lens position after surgery, in mm; AL is the preoperative axial length, in mm; G is sex: when the patient is female, G is 0; when the patient is male, G is 1; H is the corneal height in mm; WTW is the corneal diameter in mm; CCR is the corneal curvature radius, in mm; a0, a1, a2, a3, a4 and b0, b1, b2 are intraocular lens constants.

3. The method for predicting the position of an equivalent intraocular lens according to claim 2, wherein: The calculation formula of the corneal curvature radius CCR in the equivalent intraocular lens position prediction model is as follows: Where CCR is the corneal curvature radius, in mm; K1 is the flat axis corneal curvature, in D; K2 is the steep axis corneal curvature, in D; The calculation formula of 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 corneal curvature radius, in mm; WTW is the corneal diameter in mm.

4. A method for constructing an equivalent intraocular lens position prediction model for eyes with Marfan syndrome and subluxated lens, characterized in that: The construction method comprises: Step 1: establishing a real-world database based on information of patients with Marfan syndrome who have undergone intraocular lens implantation, wherein the patient information in the database includes one or more selected from basic patient data, preoperative ocular biological parameters of the patient, optometry examination of the patient, demographic characteristic parameters, and implanted intraocular lens information; The preoperative ocular biological parameters include one or more parameters selected from the group consisting of 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 characteristic parameters include one or more parameters selected from the patient's age Age, gender G; The patient's optometry examination includes a selection of the patient's optometry refraction R 1-3 months after surgery test , one or more parameters of postoperative best corrected visual acuity BCVA; The implanted intraocular lens information includes the implanted intraocular lens model, the implanted intraocular lens power IOL, power One or more parameters in ; Step 2: Based on the vergence formula, the patient's postoperative equivalent intraocular lens position is reversed, and the equivalent intraocular lens position ELP is obtained using the reversed equivalent intraocular lens position formula. r , the inverse formula of the equivalent intraocular lens position is as follows: Among them, ELP r To reverse the equivalent intraocular lens position, the unit is mm; R test is the patient's optometry refraction 1-3 months after surgery, in D; AL is the preoperative axial length, in mm; K is the preoperative mean corneal curvature, in D, calculated from the flat axis corneal curvature K1 and the steep axis corneal curvature K2; n is the refractive index of aqueous humor or vitreous body, which is 1.3375 and has no unit; V is the distance between the lens and the eye, the value is 12, the unit is mm; IOL power is the power of the implanted intraocular lens, in D; Step 3: Based on the data obtained in step 2, divide it into training set and test set in a ratio of 7:3; Step 4: construct and test the prediction model using the training set and the test set respectively.

5. A method for predicting the power of intraocular lens for eyes with Marfan syndrome and subluxated lens, characterized in that: The following steps are involved: 1) According to the prediction method according to any one of claims 1 to 3, the postoperative theoretical equivalent intraocular lens position ELP is obtained T ; 2) Obtain corneal curvature radius CCR; 3) Set the postoperative target refraction R obj ; 4) According to the postoperative target refraction R obj , obtain the calculated value of the artificial lens power to be implanted IOL power-cal , The calculated value of the artificial lens power to be implanted is calculated according to the following formula: power-cal : Where Z1 is the equivalent refractive power produced by the refractive medium in the corneal plane or the eyeglass plane at the equivalent intraocular lens position; When the postoperative target refraction R obj When it is 0.00D, Z1 is calculated according to the following formula: When the postoperative target refraction R obj When it is not 0.00D, Z1 is calculated according to the following formula: IOL power-cal It is the calculated value of the power of the artificial lens to be implanted, in D; ELP T is the theoretical equivalent intraocular lens position after surgery, in mm; AL is the preoperative axial length, in mm; R obj is the postoperative target refraction, in D; CCR is the corneal curvature radius, in mm; V is the eyepiece distance, the value is 12, and the unit is mm.

6. The method for predicting the power of an intraocular lens according to claim 5, wherein: The prediction method further comprises obtaining a recommended intraocular lens power IOL power-rec and simulated intraocular lens power IO Lpower-sim ; The recommended intraocular lens power IOL power-rec N or N.50D, where N is an integer, and the recommended intraocular lens power IOL power-rec Take the calculated value of N or N.50D corresponding to the power of the artificial lens to be implanted IOL power-cal The closest value; If the calculated value of the artificial lens power to be implanted is power-cal Recommended IOL power power-rec If the absolute value of the difference when taking N or N.50D is the same, the recommended intraocular lens power is N and N.50D; The simulated intraocular lens power IOL power-sim Recommended IOL power for power-rec The intraocular lens powers obtained after +1.50D, +1.00D, +0.50D, -0.50D, -1.00D, and -1.50D respectively.

7. A method for predicting the actual postoperative refractive power of a patient with Marfan syndrome and subluxated lens, characterized in that: The following steps are involved: The recommended intraocular lens power IOL obtained by the method according to claim 6 power-rec Or the simulated intraocular lens power IOL power-sim The actual postoperative refraction R is obtained by the following calculation formula: rec : Wherein, when calculating the recommended intraocular lens power IOL power-rec The actual postoperative refraction R rec hour, When calculating the simulated intraocular lens power IOL power-sim The actual postoperative refraction R rec hour, IOL power-rec is the recommended intraocular lens power, in D; IOL power-sim is the simulated intraocular lens power, in D; AL is the preoperative axial length, in mm; R rec is the actual refraction after surgery, in D; V is the distance between the lens and the eye, the value is 12, the unit is mm; Z2 is the equivalent refractive power of the artificial lens to be implanted in the corneal plane, in D; CCR is the corneal curvature radius, in mm; ELP T is the theoretical equivalent intraocular lens position after surgery, in mm.

8. A prediction system for the intraocular lens power of a patient with Marfan syndrome and subluxated lens, characterized in that: The prediction system adopts the prediction method of any one of claims 1 to 3 or the prediction system executes the equivalent intraocular lens position prediction model constructed by the method of claim 4.

9. The prediction system according to claim 8, 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, eye biological parameters, demographic parameters, and postoperative target refractive power R obj and information about the artificial lens to be implanted; The judgment module executes the judgment step in the equivalent intraocular lens position prediction method to judge 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 position calculation module and an intraocular lens power calculation module. The equivalent intraocular lens position calculation module executes the equivalent intraocular lens position prediction model to obtain the postoperative theoretical equivalent intraocular lens position ELP. T ; The intraocular lens power calculation module includes executing an intraocular lens power prediction method to obtain a recommended intraocular lens power IOL power-rec and simulated intraocular lens power IOL power-sim , and executing a prediction method for the actual postoperative refraction of the patient to obtain the actual postoperative refraction R rec ; The output module includes displaying and / or outputting the postoperative target refraction R obj , the recommended intraocular lens power IOL power-rec And its corresponding actual postoperative refraction R rec , the simulated intraocular lens power IOL power-sim And its corresponding actual postoperative refraction R rec ; Preferably, the output module further includes outputting the patient's preoperative data and / or the data of the calculation module; Preferably, the output module outputs in PDF file format.

10. A method for using the system for predicting the intraocular lens power of a Marfan syndrome lens subluxation eye according to any one of claims 8 to 9, characterized in that: The method of use comprises the following steps: S1. Input the patient's preoperative data; S2. Click Calculate; S3. Read the calculation results; S4. Click Download to get the PDF report file.

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