Myopia prevention and control effect prediction system and equipment

Abstract

The invention discloses a myopia prevention and control effect prediction system and equipment. The system comprises a data acquisition module, a prediction module and a result output module, data of gender (X1), age (X2), corneal eccentricity (X3), relative peripheral retina diopter (X4) and spherical aberration (X5) of a myopia prevention and control object are collected through a data acquisition module, then a prediction module inputs the data acquired by the data acquisition module into a regression equation to predict an eye axis growth amount (Y), and finally a prediction result of the eye axis growth amount (Y) is output through a result output module. According to the system, through mutual cooperation of the data acquisition module, the prediction module and the result output module, the myopia control effect of a myopic child can be predicted before the myopic child fits the orthokeratology lens, and the child with a poor myopia prevention and control effect can be screened out, so that the problem that the ideal myopia prevention and control effect cannot be achieved due to expense is avoided; and auxiliary guidance is provided for estimating the myopia prevention and control effect of myopia children wearing the orthokeratology lens in the early stage.

Description

Technical Field

[0001] The present application relates to the technical field of myopia prevention and control, and in particular to a myopia prevention and control effect prediction system and equipment. Background Art

[0002] Myopia is a complex eye disease whose pathogenesis is still unclear. The peripheral retinal defocus theory is one of the important mechanisms for the occurrence and development of myopia. In recent years, a large number of studies have shown that the peripheral retina plays an important role in the refractive development process, and the defocus state of the peripheral retina can affect the growth and development of the eyeball. People with relatively hyperopic defocus of the peripheral retina have a higher incidence of myopia, and myopic defocus can slow down the progression of myopia to a certain extent.

[0003] In recent years, the incidence of myopia has been increasing, and it has become a major problem affecting human public health. Under the current severe situation, myopia prevention and control is of vital importance. A large number of studies have found that orthokeratology lenses can safely and effectively control the growth of myopia. However, not all children wearing orthokeratology lenses can achieve ideal myopia prevention and control effects, and there are obvious individual differences. Most of the prediction models for myopia prevention and control effects currently used in clinical practice rely on relevant parameters after wearing orthokeratology lenses for prediction. However, since orthokeratology lenses belong to the third category of medical devices, they have high requirements for fitting technology. At the same time, orthokeratology lenses are expensive and have a long follow-up period. Before fitting, it is not clear what the myopia prevention and control effect will be after myopic children wear them.

[0004] In view of this, providing a myopia prevention and control effect prediction system and equipment for predicting the myopia prevention and control effect of orthokeratology lenses before fitting is a technical problem that needs to be urgently solved by those skilled in the art. Summary of the invention

[0005] In order to solve the above technical problems, the purpose of the present invention is to provide a myopia prevention and control effect prediction system device, which can predict the myopia control effect of myopic children before they are fitted with orthokeratology lenses, and screen out children with poor myopia prevention and control effects, thereby avoiding them spending money but failing to achieve the ideal myopia prevention and control effect, and providing auxiliary guidance for estimating the myopia prevention and control effect of myopic children wearing orthokeratology lenses at an early stage.

[0006] The present invention provides a myopia prevention and control effect prediction system, comprising: The data acquisition module is used to obtain the gender of the myopia prevention and control target (X 1 )、Age(X 2 ), corneal eccentricity (X 3 ), relative peripheral retinal diopter (X 4 )、Spherical aberration(X 5 ) data; The prediction module is used to calculate the eye axis growth amount (Y) according to the following regression equation Y=a-bX based on the data obtained by the data acquisition module. 1 -cX 2 +dX 3 -fX 4 +gX 5 Make predictions, where a=(0-0.5), b=(0-1), c=(0-0.5), d=(0-1), f=(0-10), g=(0-10); The result output module is used to output the prediction result of the eye axis growth amount (Y).

[0007] Preferably, in the regression equation, a=0-0.3, b=0-0.1, c=0-0.4, d=0-0.6, f=0-0.8, and g=0-2.

[0008] Preferably, the corneal eccentricity (X 3 ) is extracted from corneal topography data.

[0009] Preferably, the relative peripheral retinal diopter (X 4 ) and the spherical aberration (X 5 ) is extracted from retinal refractive topography data.

[0010] Preferably, the retinal refractive topography map is a wide-area retinal refractive topography map.

[0011] Preferably, the data of the wide-area retinal refractive topography map includes data within a horizontal field of view of 60° and a vertical field of view of 36°, wherein the horizontal field of view includes a nasal field of view of 30° and a temporal field of view of 30°; the vertical field of view angle includes an upward field of view of 20° and a downward field of view of 16°.

[0012] Preferably, the relative peripheral retinal diopter (X 4 ) and the spherical aberration (X 5 ) are data extracted from fixed areas of the retinal refractive topography.

[0013] Preferably, the retinal refractive topography map is divided into 8 areas with the center as the axis coordinate origin and radii of 20° and 25° respectively, including UZ1, UZ2, UZ3, and UZ4 areas arranged in sequence along the horizontal axis in the upper part, and LZ1, LZ2, LZ3, and LZ4 areas arranged in sequence along the horizontal axis in the lower part, and the fixed area is the UZ3 area.

[0014] Preferably, the result output module further includes a nomogram conversion module for displaying the prediction result in the form of a nomogram.

[0015] The present invention provides a myopia prevention and control effect prediction device, which is equipped with a myopia prevention and control effect prediction system.

[0016] The present invention provides a myopia prevention and control effect prediction system, which is a system for predicting myopia prevention and control effects by exploring and analyzing the specific relationship between specific parameters and establishing a corresponding model formula. The beneficial effects of the present invention are as follows: 1. Strong practicality. Through the cooperation of data acquisition module, prediction module and result output module, this system can predict the myopia control effect of myopia prevention and control subjects before they are fitted with orthokeratology lenses, and screen out the prevention and control subjects with poor myopia prevention and control effects, thereby avoiding them spending money but failing to achieve the ideal myopia prevention and control effect. It also provides auxiliary guidance for estimating the myopia prevention and control effect of myopia prevention and control subjects wearing orthokeratology lenses in the early stage, and has good practical value.

[0017] 2. High effectiveness. The regression equation model used by the prediction module in the myopia prevention and control effect prediction system of the present invention, the parameters of which are screened by single-factor linear regression analysis of the effects of numerous parameters on axial growth, thereby ensuring that each parameter in the equation has a specific connection with axial growth; further, by incorporating the above parameters into a multi-factor regression model, the step-by-step analysis is performed step by step to obtain the degree of influence of each factor on axial growth, and the coefficient of each parameter is determined accordingly. Since the parameters and coefficients in the model used by the prediction system of the present invention are selected and determined by scientific methods, the effectiveness of the system model in predicting the myopia prevention and control effect is fully guaranteed.

[0018] 3. High accuracy. The present invention discloses data input into a myopia prevention and control effect prediction system, which can be derived from data in a fixed area in a wide-area retinal refractive topography map. This is selected based on the characteristics of the regression equation model used in the prediction module. In the process of establishing the regression equation model, the regional adaptability of the model is studied, and the data area in the retinal refractive topography map that is most suitable for the application of the model is found. Therefore, the regression equation used in the myopia prevention and control effect prediction system of the present invention is combined with the data in a fixed area in the wide-area retinal refractive topography map, which will greatly improve the accuracy of the myopia prevention and control prediction system.

[0019] 4. Broad application prospects. The data of the myopia prevention and control effect prediction system of the present invention can be derived from corneal topography, retinal refractive topography or other conventional data detection equipment. Therefore, the myopia prevention and control effect prediction system of the present invention can be directly connected to and used with the detection equipment of these data, or directly mounted on these data detection equipment. As long as an effective connection between the prediction system and the data to be collected is established, it has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 A schematic diagram of the structure of a myopia prevention and control effect prediction system provided by an embodiment of the present invention; Figure 2 A schematic diagram of a retinal diopter topography map provided by an embodiment of the present invention; Figure 3 A schematic diagram of measuring wide-area retinal diopter provided by an embodiment of the present invention; Figure 4 A schematic diagram of the partitioning of the retinal refractive power topography provided by an embodiment of the present invention; Figure 5 A schematic diagram of a visualized nomogram provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0023] It should be noted that when an element is referred to as being "fixed on" or "set on" another element, it can be directly on the other element or indirectly set on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element.

[0024] It should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0025] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "multiple" and "several" mean two or more, unless otherwise clearly and specifically defined.

[0026] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which this application can be implemented. Therefore, they have no substantive technical significance. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical content disclosed in this application without affecting the effects and purposes that can be achieved by this application.

[0027] like Figure 1 As shown, an embodiment of the present invention provides a myopia prevention and control effect prediction system, comprising: Data acquisition module 1, used to obtain the gender of the myopia prevention and control target (X 1 )、Age(X 2 ), corneal eccentricity (X 3 ), relative peripheral retinal diopter (X 4 )、Spherical aberration(X 5 ) data; Prediction module 2 is used to predict the eye axis growth (Y) according to the following regression equation Y=a-bX based on the data obtained by the data acquisition module 1. 1 -cX 2 +dX 3 -fX 4 +gX 5 Make predictions, where a=(0-0.5), b=(0-1), c=(0-0.5), d=(0-1), f=(0-10), g=(0-10); The result output module 3 is used to output the prediction result of the eye axis growth amount (Y).

[0028] In the actual application process, the data acquisition module, prediction module and result output module are set up in the myopia prevention and control effect prediction system; the gender (X 1 )、Age(X 2 ), corneal eccentricity (X 3 ), relative peripheral retinal diopter (X 4 ) and spherical aberration (X 5 ) data, and then the prediction module inputs the data obtained by the data acquisition module into the regression equation Y=a-bX1 -cX 2 +dX 3 -fX 4 +gX 5 The axial length growth (Y) is predicted, and finally the predicted result of the axial length growth (Y) is output through the result output module. The myopia prevention and control target in this embodiment is myopic children; through the cooperation of the data acquisition module, the prediction module and the result output module, the myopia control effect of myopic children can be predicted before they are fitted with orthokeratology lenses, and children with poor myopia prevention and control effects can be screened out, thereby avoiding them spending money but failing to achieve the ideal myopia prevention and control effect, and also providing auxiliary guidance for estimating the myopia prevention and control effect of myopic children wearing orthokeratology lenses in the early stage; in this embodiment, the range of parameter a is 0-0.5, the range of parameter b is 0-1, the range of parameter c is 0-0.5, the range of parameter d is 0-1, the range of parameter f is 0-10, and the range of parameter g is 0-10.

[0029] Preferably, in the regression equation, a=0-0.3, b=0-0.1, c=0-0.4, d=0-0.6, f=0-0.8, and g=0-2.

[0030] In actual application, the regression equation has the best prediction effect on the axial length growth (Y) when the range of parameter a is 0-0.3, the range of parameter b is 0-0.1, the range of parameter c is 0-0.4, the range of parameter d is 0-0.6, the range of parameter f is 0-0.8 and the range of parameter g is 0-2 according to the results of previous experiments.

[0031] Preferably, the corneal eccentricity (X 3 ) is extracted from corneal topography data.

[0032] In actual use, in a dark room, let the myopia prevention and control subject sit in front of the machine, adjust the height of the lifting platform, let the forehead and chin of the myopia prevention and control subject support the bracket and sit in the correct posture, adjust the handle so that the slit light shines on the cornea and select the appropriate shooting mode, then let the myopia prevention and control subject open his eyes wide, stare at the fixation target, move the handle so that the cornea appears in the "Schimpflug Image", and align the red dot with the red line; adjust the handle so that the center of the yellow dot in the "Pupil Image" is aligned with the red crosshairs. After focusing is completed, the camera will be automatically photographed, and then the corneal topography obtained will be saved and enter the analysis report interface of the terminal. Check the "QS" in the analysis report to verify the credibility. If it shows yellow or red, recheck it. If it shows "OK", the check is credible, and then export the corneal eccentricity (X 3 ).

[0033] Preferably, the relative peripheral retinal diopter (X 4 ) and the spherical aberration (X 5 ) is extracted from retinal refractive topography data.

[0034] During actual use, the wide-field retinal diopter is firstly subjected to an initial inspection and correction; the myopia prevention and control subject is then seated in front of the wide-field retinal diopter, and the height of the chin rest is adjusted so that the outer canthus of the myopia prevention and control subject is flush with the scale line of the head rest; the optical probe of the wide-field retinal diopter is then moved to a position away from the myopia prevention and control subject, and then fine-tuned up and down and left and right to ensure that the complete pupil retinal image can be clearly presented in the operating interface; the optical probe is then rotated to 30° to the nasal side or 30° to the temporal side to observe changes in the pupil reflection image. When the pupil reflection image disappears, continue to push the probe forward until the pupil reflection image appears, and finally move the optical probe to the opposite side 30° to ensure that the pupil reflection image is complete and has no obvious reflection; click the measurement button on the program interface, and the optical probe will complete 4 repeated scans; check the wavefront aberration image of each site to ensure data quality; repeat the above measurement steps and complete the inspection of 10 sight marks in turn; after the measurement is completed, the Zernike coefficients and refractive parameters under a 4mm pupil can be exported, and parameters such as equivalent spherical power (M) and spherical aberration (SA) can be selected for data analysis. All measurement values ​​must meet the average value based on the results of four measurements, and then the equivalent spherical power (M) and spherical aberration (SA) are imported into the MATLAB software to generate a retinal refractive power (RPR) topography map, as shown in the figure. Figure 2 As shown, Figure 2 (a) Baseline relative retinal refraction RPR topography; Figure 2 (b) is a baseline SA retinal refractive power topography map; thus, the relative peripheral retinal refractive power and spherical aberration can be extracted from the retinal refractive power topography data; and the retinal refractive power topography in this embodiment is a wide-area retinal refractive power topography map.

[0035] Preferably, the data of the wide-area retinal refractive topography map includes data within a horizontal field of view of 60° and a vertical field of view of 36°, wherein the horizontal field of view includes a nasal field of view of 30° and a temporal field of view of 30°; the vertical field of view angle includes an upward field of view of 20° and a downward field of view of 16°.

[0036] In actual application, the wide-area retinal refractive topography is measured by a wide-area retinal refraction tester, which can measure the wide-area retinal refractive topography within the range of 60° horizontal field of view and 36° vertical field of view. The horizontal field of view includes 30° nasal field of view and 30° temporal field of view; the vertical field of view includes 20° upward field of view and 16° downward field of view; Figure 3 As shown, Figure 3 (a) is a wide-field retinal diopter and its horizontal inspection range; Figure 3 (b) is a schematic diagram of the sight mark setting and its vertical inspection range. When looking horizontally (0°), the 5# sight mark of arrow 2 corresponds to the sight mark, and the 1# sight mark of arrow 3 to the 10# sight mark of arrow 1 are looked at in sequence. The retinal refractive power measurement is completed in the range of 16° below the retina (arrow 3) to 20° above the retina (arrow 1) with a measurement interval of 4°, thereby obtaining the data of the wide-area retinal refractive topography.

[0037] Preferably, the relative peripheral retinal diopter (X 4 ) and the spherical aberration (X 5 ) are data extracted from fixed areas of the retinal refractive topography.

[0038] In actual application, the positive and negative values ​​of the X-axis in the retinal refractive topography represent the nasal retina and the temporal retina respectively; the positive and negative values ​​of the Y-axis represent the superior retina and the inferior retina respectively; the color bars of different colors represent different refractive powers / spherical aberration values; the retinal refractive topography is divided into 8 areas with the center as the axis coordinate origin and 20° and 25° as the radius, respectively, such as Figure 4 As shown, it includes the UZ1, UZ2, UZ3, and UZ4 areas arranged in sequence along the horizontal axis in the upper part, and the LZ1, LZ2, LZ3, and LZ4 areas arranged in sequence along the horizontal axis in the lower part, and the fixed area is the UZ3 area, so the relative peripheral retinal diopter (X 4 ) and spherical aberration (X 5 ) are extracted from the UZ3 fixed area of ​​the retinal refractive topography.

[0039] Preferably, the result output module 3 further includes a nomogram conversion module 31 for displaying the prediction result in the form of a nomogram.

[0040] In actual application, the nomogram conversion module displays the prediction results output by the result output module in the form of a nomogram. The visual nomogram includes five variables: gender, age, corneal eccentricity e-value, baseline RPR of UZ3 area, and baseline SA of UZ3 area. Each prediction indicator is located on a variable axis. The number of points corresponding to each indicator is found, and then the points of all prediction factors are summed up, the final sum is found on the total score axis, and then a vertical line is drawn downward to the axis of axial growth; Figure 5 As shown, Gender represents gender; age represents age; E represents the corneal eccentricity e value; RPR_UZ3_BL represents the baseline RPR value of the UZ3 area; SA_UZ3_BL represents the baseline SA value of the UZ3 area.

[0041] An embodiment of the present invention also provides a myopia prevention and control effect prediction device, which is equipped with a myopia prevention and control effect prediction system.

[0042] In actual application, the myopia prevention and control effect prediction device provided is equipped with a myopia prevention and control effect prediction system, which can also predict the myopia control effect of myopic children before they wear orthokeratology lenses, and screen out children with poor myopia prevention and control effects, thereby avoiding them spending money but failing to achieve the ideal myopia prevention and control effect. The technical effect also provides auxiliary guidance for estimating the myopia prevention and control effect of myopic children wearing orthokeratology lenses in the early stage, which will not be elaborated here.

[0043] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0044] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0045] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0046] If a flow chart is used in the present application, the flow chart is used to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, each step can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or a certain step or several steps of operations can be removed from these processes.

[0047] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A myopia prevention and control effect prediction system, characterized in that: include: A data acquisition module is used to obtain data on the gender (X1), age (X2), corneal eccentricity (X3), relative peripheral retinal diopter (X4), and spherical aberration (X5) of the myopia prevention and control object; A prediction module, used to predict the eye axis growth amount (Y) according to the data acquired by the data acquisition module according to the following regression equation Y=a-bX1-cX2+dX3-fX4+gX5, wherein a=(0-0.5), b=(0-1), c=(0-0.5), d=(0-1), f=(0-10), g=(0-10); The result output module is used to output the prediction result of the eye axis growth amount (Y).

2. The myopia prevention and control effect prediction system according to claim 1, characterized in that: In the regression equation, a=0-0.3, b=0-0.1, c=0-0.4, d=0-0.6, f=0-0.8, and g=0-2.

3. The myopia prevention and control effect prediction system according to claim 1, characterized in that: The corneal eccentricity (X3) is extracted from corneal topography data.

4. The myopia prevention and control effect prediction system according to claim 1, characterized in that: The relative peripheral retinal refraction (X4) and the spherical aberration (X5) are extracted from retinal refractive topography data.

5. The myopia prevention and control effect prediction system according to claim 4, characterized in that: The retinal refractive topography is a wide-area retinal refractive topography.

6. The myopia prevention and control effect prediction system according to claim 5, characterized in that: The data of the wide-area retinal refractive topography map include data within a horizontal field of view of 60° and a vertical field of view of 36°, wherein the horizontal field of view includes a nasal field of view of 30° and a temporal field of view of 30°; the vertical field of view angle includes an upward field of view of 20° and a downward field of view of 16°.

7. The myopia prevention and control effect prediction system according to any one of claims 4 to 6, characterized in that: The relative peripheral retinal refraction (X4) and the spherical aberration (X5) are both data extracted from a fixed area of ​​the retinal refractive topography.

8. The myopia prevention and control effect prediction system according to claim 7, characterized in that: The retinal refractive topography map is divided into 8 areas with the center as the axis coordinate origin and radii of 20° and 25° respectively, including UZ1, UZ2, UZ3, and UZ4 areas arranged in sequence along the horizontal axis in the upper part, and LZ1, LZ2, LZ3, and LZ4 areas arranged in sequence along the horizontal axis in the lower part. The fixed area is the UZ3 area.

9. The myopia prevention and control effect prediction system according to claim 1, characterized in that: The result output module also includes a nomogram conversion module, which is used to display the prediction result in the form of a nomogram.

10. A myopia prevention and control effect prediction device, characterized in that: The device is equipped with a myopia prevention and control effect prediction system as described in any one of claims 1 to 9.

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