Myopia prevention and control effect prediction system and device

Abstract

The present application discloses a myopia prevention and control effect prediction system and equipment, which includes: a data acquisition module, a prediction module and a result output module; the data of the gender (X1), age (X2), corneal eccentricity (X3), relative peripheral retinal refractive power (X4), and spherical aberration (X5) of the myopia prevention and control object are collected through the data acquisition module, and then the prediction module inputs the data acquired by the data acquisition module into a regression equation to predict the axial length growth (Y), and finally outputs the prediction result of the axial length growth (Y) through the result output module; the system cooperates with the data acquisition module, the prediction module and the result output module to predict the myopia control effect of myopic children before they are fitted with orthokeratology lenses, 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 also provides auxiliary guidance for estimating the myopia prevention and control effect of myopic children wearing orthokeratology lenses 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. 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 wearing them for myopic children.

[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 solved urgently 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 in the early stage.

[0006] The present invention provides a myopia prevention and control effect prediction system, comprising:

[0007] A data acquisition module is used to obtain data on the gender (X1), age (X2), corneal eccentricity (X3), relative peripheral retinal refractive power (X4), and spherical aberration (X5) of the myopia prevention and control subject;

[0008] A prediction module is configured to predict the axial length growth (Y) according to the following regression equation Y=a-bX1-cX2+dX3-fX4+gX5 based on the data acquired by the data acquisition module, wherein a=(0-0.5), b=(0-1), c=(0-0.5), d=(0-1), f=(0-10), and g=(0-10);

[0009] The result output module is used to output the prediction result of the eye axis growth (Y).

[0010] 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.

[0011] Preferably, the corneal eccentricity (X3) is extracted from corneal topography data.

[0012] Preferably, the relative peripheral retinal diopter (X4) and the spherical aberration (X5) are extracted from retinal refractive topography data.

[0013] Preferably, the retinal refractive topography is a wide-area retinal refractive topography.

[0014] 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 30° nasal field of view and a 30° temporal field of view; the vertical field of view angle includes a 20° upward field of view and a 16° downward field of view.

[0015] Preferably, the relative peripheral retinal diopter (X4) and the spherical aberration (X5) are both data extracted from a fixed area of ​​a retinal refractive topography map.

[0016] 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. The fixed area is the UZ3 area.

[0017] Preferably, the result output module further includes a nomogram conversion module for displaying the prediction result in the form of a nomogram.

[0018] The present invention provides a myopia prevention and control effect prediction device equipped with a myopia prevention and control effect prediction system.

[0019] The present invention provides a myopia prevention and control effect prediction system, which is a system for predicting the myopia prevention and control effect 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:

[0020] 1. Highly practical. Through the cooperation of the 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 subjects with poor myopia control effects, thereby avoiding them spending money but failing to achieve the ideal myopia control effect. It also provides auxiliary guidance for estimating the myopia control effect of myopia prevention and control subjects wearing orthokeratology lenses in the early stages, and has good practical value.

[0021] 2. High effectiveness. The regression equation model adopted by the prediction module in the myopia prevention and control effect prediction system of the present invention, wherein the parameters are screened by single-factor linear regression analysis of the effects of numerous parameters on axial eye growth, thereby ensuring that each parameter in the equation has a specific connection with axial eye 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 eye 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.

[0022] 3. High accuracy. The present invention discloses that the data input into the myopia prevention and control effect prediction system can be derived from data of 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. During 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 of 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.

[0023] 4. Broad application prospects. The data for 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 these data detection equipment, or directly installed on these data detection equipment. As long as an effective connection is established between the prediction system and the data to be collected, it has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 A schematic structural diagram of a myopia prevention and control effect prediction system provided by an embodiment of the present invention;

[0026] Figure 2 A schematic diagram of a retinal refractive power topography map provided by an embodiment of the present invention;

[0027] Figure 3 A schematic diagram of measuring wide-area retinal diopter provided by an embodiment of the present invention;

[0028] Figure 4 A schematic diagram of the partitioning of the retinal refractive power topography provided by an embodiment of the present invention;

[0029] Figure 5 A schematic diagram of a visual nomogram provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to help those skilled in the art 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 embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of this application.

[0031] 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.

[0032] 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 accompanying drawings, and are only for the convenience of describing this 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 cannot be understood as a limitation on this application.

[0033] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. Throughout the description of this application, "plurality" or "several" means two or more, unless otherwise specifically defined.

[0034] 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 efficacy and purpose that can be achieved by this application.

[0035] like Figure 1 As shown, an embodiment of the present invention provides a myopia prevention and control effect prediction system, comprising:

[0036] Data acquisition module 1 is used to obtain data on the gender (X1), age (X2), corneal eccentricity (X3), relative peripheral retinal refractive power (X4), and spherical aberration (X5) of the myopia prevention and control subject;

[0037] Prediction module 2 is used to predict the axial length growth (Y) according to the following regression equation Y=a-bX1-cX2+dX3-fX4+gX5 based on the data obtained by the data acquisition module 1, where a=(0-0.5), b=(0-1), c=(0-0.5), d=(0-1), f=(0-10), and g=(0-10);

[0038] The result output module 3 is used to output the prediction result of the eye axis growth amount (Y).

[0039] In actual application, a data acquisition module, a prediction module and a result output module are set up in the myopia prevention and control effect prediction system; the data of the gender (X1), age (X2), corneal eccentricity (X3), relative peripheral retinal refractive power (X4) and spherical aberration (X5) of the myopia prevention and control object are collected through the data acquisition module, and then the prediction module inputs the data obtained by the data acquisition module into the regression equation Y=a-bX1-cX2+dX3-fX4+gX5 to predict the axial length growth (Y), and finally the prediction result of the axial length growth (Y) is output through the result output module. The myopia prevention and control in this embodiment For example, the example is myopic children; through the cooperation of the data acquisition module, the prediction module and the result output module, the myopia control effect of the 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. It also provides 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.

[0040] 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.

[0041] In actual application, the results of previous experiments showed that 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, the regression equation has the best prediction effect on the axial length growth (Y).

[0042] Preferably, the corneal eccentricity (X3) is extracted from corneal topography data.

[0043] In actual use, in a darkroom, have the subject sit in front of the device. Adjust the height of the lift platform, ensuring their forehead and chin are against the bracket and they are seated correctly. Adjust the handle so that the slit light shines on the cornea and select the appropriate capture mode. Then, have the subject open their eyes wide and focus on 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" aligns with the red crosshairs. Once focus is achieved, the image is automatically captured. The resulting corneal topography is saved and displayed in the terminal's analysis report interface. Verify the reliability of the "QS" in the analysis report. If it displays yellow or red, recheck. If it displays "OK," the report is reliable. The subject's corneal eccentricity (X3) can then be exported from the terminal.

[0044] Preferably, the relative peripheral retinal diopter (X4) and the spherical aberration (X5) are extracted from retinal refractive topography data.

[0045] During actual use, the wide-field retinal refraction meter is firstly subjected to an initial inspection and correction; then the myopia prevention and control subject is seated in front of the wide-field retinal refraction meter, 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; then the optical probe of the wide-field retinal refraction meter is 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 running interface; then the optical probe is 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 30° to the opposite side to ensure that the pupil reflection image is complete and there is 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 visual marks in turn; after the measurement is completed, the Zernike coefficient and refractive parameters under 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 of the results obtained based on four measurements, and then import the equivalent spherical power (M) and spherical aberration (SA) into MATLAB software to generate a retinal refractive power (RPR) topography map, as shown below: 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, 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.

[0046] 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 30° nasal field of view and a 30° temporal field of view; the vertical field of view angle includes a 20° upward field of view and a 16° downward field of view.

[0047] In actual application, the wide-field retinal refractive topography is measured by a wide-field retinal diopter, which can measure the wide-field 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) 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 straight ahead (0°), the 5# sight mark of arrow 2 corresponds to the sight mark. The 1# sight mark of arrow 3 to the 10# sight mark of arrow 1 are sequentially fixed. 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 data for the wide-area retinal refractive topography.

[0048] Preferably, the relative peripheral retinal diopter (X4) and the spherical aberration (X5) are both data extracted from a fixed area of ​​a retinal refractive topography map.

[0049] 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 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, so the relative peripheral retinal refractive power (X4) and spherical aberration (X5) are both extracted from the UZ3 fixed area of ​​the retinal refractive topography.

[0050] Preferably, the result output module 3 further includes a nomogram conversion module 31 for displaying the prediction result in the form of a nomogram.

[0051] 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 the UZ3 area, and baseline SA of the 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; for example Figure 5 As shown in the figure, Gender represents gender; age represents age; E represents corneal eccentricity e value; RPR_UZ3_BL represents the baseline RPR value of UZ3 area; SA_UZ3_BL represents the baseline SA value of UZ3 area.

[0052] An embodiment of the present invention also provides a myopia prevention and control effect prediction device equipped with a myopia prevention and control effect prediction system.

[0053] 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 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. It also provides auxiliary guidance for the early estimation of the myopia prevention and control effect of myopic children wearing orthokeratology lenses. The technical effect will not be repeated here.

[0054] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0055] 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 above description has generally described the components and steps of each example according to their functions. 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 beyond the scope of this application.

[0056] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0057] If a flow chart is used in this application, the flow chart is used to illustrate the operations performed by the system according to the embodiments of the application. It should be understood that the previous or subsequent operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. At the same time, other operations can be added to these processes, or one or more operations can be removed from these processes.

[0058] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily 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 is not limited to the embodiments shown herein but is intended to conform 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: Comprising: A data acquisition module, configured to acquire data of the gender (X1), age (X2), corneal eccentricity (X3), relative peripheral retinal refractive power (X4), and spherical aberration (X5) of a myopia prevention and control object; A prediction module, configured to predict the axial length 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, where 0 < a ≤ 0.5, 0 < b ≤ 1, 0 < c ≤ 0.5, 0 < d ≤ 1, 0 < f ≤ 10, 0 < g ≤ 10; A result output module, configured to output the prediction result of the axial length growth amount (Y); Both the relative peripheral retinal refractive power (X4) and the spherical aberration (X5) are data extracted from a fixed area of a retinal refractive power topographic map; The retinal refractive power topographic map is divided with the center as the axis coordinate origin and radii of 20° and 25° respectively, to obtain 8 regions, including the UZ1, UZ2, UZ3, UZ4 regions arranged in sequence along the abscissa in the upper part, and the LZ1, LZ2, LZ3, LZ4 regions arranged in sequence along the abscissa in the lower part, and the fixed area is the UZ3 region.

2. The myopia prevention and control effect prediction system according to claim 1, characterized in that: In the regression equation: the range of a is 0 < a ≤ 0.3, the range of b is 0 < b ≤ 0.1, the range of c is 0 < c ≤ 0.4, the range of d is 3. The myopia prevention and control effect prediction system according to claim 1, characterized in that: ​ 4. The myopia prevention and control effect prediction system according to claim 1, wherein: ​ 5. The myopia prevention and control effect prediction system according to claim 4, characterized in that: ​ 6. The myopia prevention and control effect prediction system according to claim 1, wherein: ​ 7. A device for predicting the effect of myopia prevention and control, characterized in that: ​

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