Myopia progression analysis device, myopia progression analysis system, and storage medium

By calculating the relative axial length and obtaining relative position information, the problem of accurately grasping the development of axial myopia in existing technologies has been solved, and high-precision myopia development analysis has been achieved.

CN116322472BActive Publication Date: 2026-07-28TOPCON CORPORATION
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Patent Information

Application Number
CN202180069038.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2020-10-12
Filing Date
2021-10-11
Publication Date
2026-07-28
Estimated Expiration
2041-10-11

AI Technical Summary

Technical Problem

In existing technologies, it is difficult to accurately grasp the development of axial myopia using only the absolute value of axial length, and the influence of individual growth cannot be eliminated.

Method used

By obtaining the subject's axial length and reference values ​​related to body characteristics, the relative axial length is calculated and compared with the relative axial length of multiple subjects to obtain relative position information and eliminate the influence of personal growth.

Benefits of technology

It enables accurate monitoring of the progression of axial myopia, eliminates the influence of personal growth, and can predict the development of myopia with high precision.

✦ Generated by Eureka AI based on patent content.

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Abstract

Provided are: an axial length acquisition unit (111) that acquires an axial length of an eye of a subject; a reference value acquisition unit (112) that acquires a value related to a physical feature other than the axial length of the subject as a reference value; a relative axial length calculation unit (113) that calculates a relative axial length obtained by relatively processing the axial length acquired by the axial length acquisition unit (111) using the reference value acquired by the reference value acquisition unit (112); a population information acquisition unit (114) that acquires population information that is a set of information related to the relative axial lengths of a plurality of comparison subjects who are compared with the subject; and a relative position information calculation unit (115) that calculates relative position information that indicates a relative position of the relative axial length of the subject in the set of the comparison subjects by comparing the relative axial length of the subject calculated by the relative axial length calculation unit and the relative axial lengths of the plurality of comparison subjects included in the population information.
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Description

Technical Field

[0001] This disclosure relates to a myopia development analysis device, a myopia development analysis system, a myopia development analysis method, and a myopia development analysis procedure. Background Technology

[0002] Myopia can be a leading cause of blindness, so monitoring its progression is crucial. Myopia is classified into axial myopia and refractive myopia. To monitor the progression of axial myopia, the axial length of the eye is measured to determine its current position, allowing for appropriate treatment or correction.

[0003] As a priori example, there is an ophthalmic information processing program disclosed in known Patent Document 1. In this priori example, the following is disclosed: based on the refractive power measurement obtained by the refractive power measurement performed by the resolution unit, the measurement values ​​of one or more intraocular distances obtained by the intraocular distance measurement unit, the subject's information, and standard data, it is determined whether the examined eye has axial myopia.

[0004] Existing technical documents Patent documents Patent Document 1: Japanese Patent Application Publication No. 2004-238804 Summary of the Invention The problem that the invention aims to solve However, using only the absolute value of axial length is insufficient to understand the development of axial myopia. Individual body characteristics vary greatly; larger individuals often have larger eyeballs, so a larger absolute value of axial length does not necessarily indicate axial myopia. Therefore, it is difficult to accurately grasp the development of axial myopia using only the absolute value of axial length.

[0005] In summary, the purpose of this disclosure is to provide a myopia development analysis device, myopia development analysis system, myopia development analysis method, and myopia development analysis procedure that can accurately grasp the development of axial myopia without the influence of individual growth.

[0006] means for solving problems To achieve the above objectives, the myopia development analysis device of this disclosure comprises: an axial length acquisition unit for acquiring the axial length of a subject's eye; a reference value acquisition unit for acquiring a value related to a body characteristic with an axial length different from that of the subject as a reference value; a relative axial length calculation unit for calculating a relative axial length, wherein the relative axial length is obtained by relativizing the axial length acquired by the axial length acquisition unit using the reference value acquired by the reference value acquisition unit; an overall information acquisition unit for acquiring a set of information related to the relative axial lengths of multiple compared subjects that are compared to the subject, namely overall information; and a relative position information calculation unit for comparing the relative axial length of the subject calculated by the relative axial length calculation unit with the relative axial lengths of the multiple compared subjects included in the overall information, and calculating relative position information representing the relative position of the relative axial length of the subject in the set of compared subjects.

[0007] Furthermore, to achieve the above objectives, the myopia development analysis system disclosed herein includes: a measurement unit for measuring the axial length of a subject's eye; an axial length acquisition unit for acquiring the axial length measured by the measurement unit; a reference value acquisition unit for acquiring a value related to body characteristics that differs from the subject's axial length as a reference value; a relative axial length calculation unit for calculating a relative axial length, wherein the relative axial length is obtained by relativizing the axial length acquired by the axial length acquisition unit using the reference value acquired by the reference value acquisition unit; a total information acquisition unit for acquiring a set of information related to the relative axial lengths of multiple compared subjects that are compared to the subject, i.e., total information; and a relative position information calculation unit for comparing the relative axial length of the subject calculated by the relative axial length calculation unit with the relative axial lengths of the multiple compared subjects included in the total information, and calculating relative position information representing the relative position of the subject's relative axial length in the set of compared subjects.

[0008] Furthermore, to achieve the above objectives, the myopia development analysis method disclosed herein includes: an axial length acquisition step, wherein an axial length acquisition unit acquires the axial length of the subject's eye; a reference value acquisition step, wherein the reference value acquisition unit acquires a value related to body characteristics that differs from the subject's axial length as a reference value; a relative axial length calculation step, wherein a relative axial length calculation unit calculates a relative axial length, wherein the relative axial length is obtained by relativizing the axial length acquired by the axial length acquisition unit using the reference value acquired by the reference value acquisition unit; an overall information acquisition step, wherein the overall information acquisition unit acquires a set of information related to the relative axial lengths of multiple compared subjects that are compared to the subject, namely overall information; and a relative position information calculation step, wherein the relative position information calculation unit compares the relative axial length of the subject calculated by the relative axial length calculation unit with the relative axial lengths of the multiple compared subjects included in the overall information, and calculates relative position information representing the relative position of the subject's relative axial length in the set of compared subjects.

[0009] Furthermore, to achieve the above objectives, the myopia development analysis program of this disclosure causes a computer to perform: an axial length acquisition step, wherein the axial length acquisition unit acquires the axial length of the subject's eye; a reference value acquisition step, wherein the reference value acquisition unit acquires a value related to body characteristics that is different from the subject's axial length as a reference value; a relative axial length calculation step, wherein the relative axial length calculation unit calculates a relative axial length, which is obtained by relativizing the axial length acquired by the axial length acquisition unit using the reference value acquired by the reference value acquisition unit; an overall information acquisition step, wherein the overall information acquisition unit acquires a set of information related to the relative axial lengths of multiple compared subjects that are compared with the subject, namely overall information; and a relative position information calculation step, wherein the relative position information calculation unit compares the relative axial length of the subject calculated by the relative axial length calculation unit with the relative axial lengths of the multiple compared subjects included in the overall information, and calculates relative position information representing the relative position of the subject's relative axial length in the set of compared subjects.

[0010] Invention Effects According to this disclosure, the development of axial myopia can be accurately grasped by eliminating the influence of personal growth. Attached Figure Description

[0011] Figure 1 This is a system structure diagram of the myopia development analysis system according to an embodiment of the present disclosure.

[0012] Figure 2 This is a diagram showing the structure of an ophthalmic device.

[0013] Figure 3 This is an example of relative position information displayed on the display of a terminal device.

[0014] Figure 4 This is an example of relative position information displayed on the display of a terminal device.

[0015] Figure 5 This is a flowchart illustrating the processing flow of myopia development analysis according to the embodiments of this disclosure.

[0016] Figure 6 It is a schematic block diagram showing the structure of a computer. Detailed Implementation

[0017] (System Structure) Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. Figure 1 This is a system structure diagram illustrating a myopia development analysis device or myopia development analysis system 1000 including an information management server 101, according to an embodiment of the present disclosure. In this diagram, regarding the myopia development analysis system 1000, an example is shown where the information management server 101, ophthalmic device 200, and terminal device 300 are different devices connected to each other via a network NW. However, it could also be a stand-alone myopia development analysis system 1000 where all components are integrated into a single device. Here, the ophthalmic device 200 functions as a measurement unit 200A for measuring axial length and reference values ​​representing eye-related body characteristics within the myopia development analysis system 1000. As described later, a myopia development analysis device could also acquire and store the subject's axial length and reference values ​​for relativization from an external source without requiring the ophthalmic device 200.

[0018] exist Figure 1 In the myopia development analysis system 1000 shown, the information management server 101 and the user's terminal device 300 are communicatively connected via a network NW. The network NW is, for example, the Internet, a VPN (Virtual Private Network), or a similar network. For the sake of simplicity, Figure 1 Assuming there is only one user and only terminal device 300 is displayed, the information management server 101 can connect to two or more terminal devices and two or more users via network NW. Alternatively, multiple users can use one terminal device.

[0019] The myopia development analysis system 1000 is primarily used by ophthalmologists and others to analyze the myopia development of examinees and to provide appropriate treatment or correction based on the development status. The operator of the myopia development analysis system 1000 provides services such as supporting ophthalmologists and others in their treatment using the system. The operator can provide services to multiple ophthalmologists and others. The operator manages the myopia development analysis system 1000 via the information management server 101, while ophthalmologists and others use the terminal device 300 and the ophthalmic device 200. Furthermore, ophthalmologists themselves can also use the information management server 101 for management. The device for obtaining the axial length (described later) and the eye-related reference values ​​for relativizing the axial length can also be a measuring device with the same measuring functions as the ophthalmic device 200. The measurement itself is not limited to ophthalmology and can also be performed by a measuring device installed in a facility such as an optical shop.

[0020] Terminal device 300 is, for example, a PC, smartphone, tablet PC, or mobile phone. Terminal device 300 can access information management server 101 through dedicated application software installed on the terminal. Alternatively, terminal device 300 can also access information management server 101 using the working environment (API (Application Programming Interface), cloud services, platform, etc.) provided by information management server 101.

[0021] Input unit 320 may be a keyboard, mouse, trackball, touchpad, or other device that allows the user to input and select information. Alternatively, input unit 320 may be a touch panel integrated with display unit 310, such as the LCD screen or OLED screen of a smartphone, tablet, or PC. Input unit 320 may also be an audio input device.

[0022] Display unit 310 is a screen device that displays information to the user. Display unit 310 can be a screen device independent of terminal device 300, or it can be a display device such as an LCD screen or OLED screen of a smartphone or tablet.

[0023] The ophthalmic device 200 is primarily used to acquire the axial length of the subject's eye and reference values ​​related to body characteristics, as described later. If the subject's axial length and reference values ​​related to body characteristics can be acquired externally, the ophthalmic device 200 is unnecessary. However, an ophthalmic device 200 that has the function of measuring axial length and other reference values ​​is preferred in terms of being able to acquire the subject's axial length and body characteristics for rapid myopia development analysis. Furthermore, the ophthalmic device 200 can simultaneously acquire the subject's eyeball characteristics along with axial length measurements, thus enabling smooth myopia development analysis.

[0024] The ophthalmic device 200 can measure multiple parameters of a patient's eye, including axial length, interpupillary distance, corneal curvature, corneal diameter, and refractive power. This is primarily achieved through the functions of the refractive power meter (refractive power meter) and the optical interferometric axial length measuring device using optical coherence tomography (OCT). The structure of the ophthalmic device 200 is as follows: Figure 2 As shown. The ophthalmic device 200 includes an ophthalmic device processing unit 210, an ophthalmic device arithmetic processing unit 211, an intraocular distance calculation unit 212, an ocular refractive power calculation unit 213, an ophthalmic device control unit 216, a Z-alignment system 221, an XY-alignment system 222, a corneal curvature measurement system 230, a refractive measurement projection system 241, a refractive measurement receiving system 242, an OCT optical system 250, a fixed-view imaging system 260, an anterior eye observation system 270, an ophthalmic device moving mechanism 291, an ophthalmic device communication unit 292, an ophthalmic device display unit 293, and an ophthalmic device operation unit 294. Furthermore, descriptions of structures and details less relevant to the functions of the myopia development analysis system 1000 disclosed herein are omitted.

[0025] The intraocular distance calculation unit 212 analyzes the detection results of the interference light obtained by the OCT optical system 250, determines the peak position of the detection results of the interference light corresponding to a predetermined part inside the eye, and can calculate the axial length of the subject's eye based on the distance between the determined peak positions.

[0026] The ocular refractive power calculation unit 213 analyzes the ring image (pattern image) obtained by the imaging element of the refractive measurement receiving system 242 receiving the reflected light from the ring beam (ring-shaped measurement pattern) projected onto the fundus by the refractive measurement projection system 241. From this, items such as refractive power can be calculated.

[0027] In addition, the ocular refractive power calculation unit 213 can calculate the corneal curvature and corneal diameter by analyzing the corneal ring image acquired by the anterior eye observation system 270.

[0028] The interpupillary distance can be calculated by adding the difference in the position of the pupil center in the images of the left and right eyes captured by the anterior eye observation system 270 to the amount of movement of the moving mechanism 291 when the image is captured.

[0029] The information management server 101 includes an axial length acquisition unit 111, a reference value acquisition unit 112, a relative axial length calculation unit 113, an overall information acquisition unit 114, a relative position information calculation unit 115, and an information storage unit 121.

[0030] The information storage unit 121 stores the subject's ID and associated information such as axial length, measurement time of axial length, reference value, acquisition time of reference value, relative axial length, historical records of each piece of information, and overall information.

[0031] The subject ID can include information such as name, health insurance number, and hospital-specific medical record number. Axial length can represent the axial length of the subject's left and right eyes individually, or their average. Measurement time information can include the measurement date (year, month, day) and the time of measurement.

[0032] Reference values ​​can be numerical values ​​related to the subject's physical characteristics, other than axial length, and associated with the subject's ID. More specifically, physical characteristics related to the subject's eyes can be information representing interpupillary distance, corneal curvature, corneal diameter, refractive power, or measurements or averages of these data for both eyes. Furthermore, corneal diameter and corneal curvature are suitable as reference values ​​because they accurately represent an individual's eye characteristics. Additionally, physical characteristics related to body parts other than the subject's eyes can be information representing the subject's eye socket size, height, head size, etc. These characteristics, excluding the eyes, are suitable as reference values ​​to exclude the influence of individual development. Dimensions can include length, area, and volume measured at any location within these body parts. Dimensions can also be dimensions of body parts other than those mentioned above. Acquisition time information can include the acquisition date (year, month, day) and time of acquisition within that date.

[0033] The relative axial length will be described later.

[0034] The overall information essentially represents data from multiple comparison subjects, different from the tested individual, related to the aforementioned axial length, reference values, relative axial length, and their measurement and acquisition times. The overall information serves as standardized data to determine the relative axial length of the tested individual, whose myopia progression is being analyzed, relative to a standard population. To protect personal information, the overall information may exclude identifying details such as names. Furthermore, since the data included in the overall information is not readily available, the number of comparison subjects included should be appropriately set to ensure statistical reliability during comparisons. Additionally, all data need not be raw data; the data can be representative values ​​obtained after statistical processing of data from multiple comparison subjects.

[0035] (Myopia Development Analysis Function) The following will explain the structure and the myopia development analysis function of this disclosure.

[0036] The axial length acquisition unit 111 has the function of acquiring the subject's axial length through measurement by the ophthalmic device 200, input by the input unit 320 to the terminal device 300, or information collection via the network NW.

[0037] The reference value acquisition unit 112 has the function of acquiring reference values ​​related to body characteristics, such as the axial length of the eye, which differs from that of the examinee, through measurements performed by the ophthalmic device 200, input to the terminal device 300 via the input unit 320, or information collection via the network NW. In particular, reference values ​​related to the examinee's eyes can be acquired based on the measurements performed by the ophthalmic device 200. In addition, body characteristics related to body parts other than the examinee's eyes can be acquired primarily through input to the terminal device 300 via the input unit 320, or through information collection via the network NW.

[0038] The relative axial length calculation unit 113 has the function of calculating the relative axial length, which is the length after relativizing the axial length obtained by the axial length acquisition unit 111 by using the reference value obtained by the reference value acquisition unit 112.

[0039] More specifically, it is possible to quantify, for example, the axial length of the subject at the predetermined measurement time divided by the subject's height as a reference value at the same time (axial length / height), or similarly, the axial length divided by corneal curvature (axial length / corneal curvature). Furthermore, in these calculations, the denominators, height and corneal curvature, will not be zero, while the reference value, such as refractive power, which takes positive or negative values ​​across zero, is the numerator. The relative axial length can be obtained by dividing the refractive power by the axial length (refractive power / axial length).

[0040] The measurement time of axial length and the acquisition time of the reference value should preferably be consistent as much as possible, or they can be processed by selecting the closest possible time. In particular, when a body feature related to the eye, different from axial length, is selected as the reference value and acquired simultaneously by the ophthalmic device 200 and the axial length, synchronizing the measurement time of axial length and the acquisition time of the reference value will enable the calculation of a more reliable relative axial length.

[0041] In addition, if the axial length is relative to both the physical characteristics of the subject's eyes, such as the interpupillary distance, corneal curvature, corneal diameter, or refractive power, and the physical characteristics of other subjects, such as the orbital size, height, or head size, a more comprehensive relative axial length that takes into account physical characteristics can be calculated.

[0042] By calculating the relative axial length after relativization in this way, a standardized axial length that takes into account the influence of the subject's physical development can be obtained. That is, during infancy and growth, body dimensions such as height change significantly due to development; not only axial length, but also interpupillary distance, corneal curvature, corneal diameter, refractive power, or orbital size, height, and head size also change considerably. Under such circumstances, axial length elongation is not abnormal but is a result of growth. However, if the elongation of axial length is more pronounced than growth in other areas, attention should be paid. By using the index called relative axial length disclosed herein, the influence of growth can be eliminated, and axial length can be accurately evaluated. Therefore, axial myopia can be predicted with high precision.

[0043] The overall information acquisition unit 114 has the function of acquiring a collection of information related to multiple relative axial lengths relative to the subject and used as comparison objects, namely, overall information. As described above, the overall information represents data related to the aforementioned axial lengths, reference values, relative axial lengths, and their measurement and acquisition times for multiple individuals substantially different from the subject. This overall information includes data necessary for calculating relative axial lengths, such as pre-calculated information on the relative axial lengths of the comparison objects.

[0044] The relative position information calculation unit 115 has the function of comparing the relative axial length of the subject calculated by the relative axial length calculation unit 113 with multiple relative axial lengths included in the overall information, and calculating the relative position information, which is information representing the relative position of the relative axial length of the subject in the set of subjects.

[0045] For more specific relative position information, such as Figure 3 As shown. Figure 3 For example, the screen displayed on the display unit 310 of the terminal device 300 shows the relative position of the subject's relative axial length in the set of comparison objects, calculated by the relative position information calculation unit 115.

[0046] exist Figure 3The diagram shows three relative axial lengths and their relative positions for a given subject. The topmost diagram in the three layers is explained below. The horizontal axis represents the relative axial length as axial length / height (mm / m). The mountain-shaped curve, reminiscent of a normal distribution bell curve, helps in understanding relative positions and does not necessarily represent the set of data points for the entire population. Furthermore, the five lines dividing the chart vertically represent the positions ±σ centered on the mean. For example, for this subject, the relative axial length value in this indicator is 24, indicating that compared to the mean of the group being compared, it is relatively located between +σ and +2σ, making its position easily understandable.

[0047] Next, in the middle layer, the horizontal axis represents the relative axial length of refractive error / axial length (diopters / mm). For example, for this subject, the relative axial length of this indicator is -0.07, indicating that it is relatively between -σ and -2σ from the perspective of the mean of the compared group, making this position easy to understand. Similarly, in the bottom layer, the relative axial length of mean corneal curvature / axial length (D / mm) is represented. For example, for this subject, the relative axial length of this indicator is 2.5, indicating that it is close to the mean of the compared group, making this position easy to understand.

[0048] In this way, the relative position information calculation unit 115 can calculate relative position information indicating where the subject's relative axial length is located within the overall population. Furthermore, the relative position information calculation unit 115 can calculate the relative position not only for a single relative axial length, but also for multiple relative axial lengths, enabling a more comprehensive analysis of the progression of myopia.

[0049] In addition, the relative position information calculation unit 115 has the function of calculating relative position information, which is information that displays a specific relative axial length and the overall relative axial length in chronological order. The specific relative axial length is the relative axial length of the time corresponding to the measurement time of the axial length and the acquisition time of the reference value representing the body characteristics, using measurement time information associated with the axial length that serves as the basis for calculating the relative axial length and acquisition time information associated with the reference value representing the body characteristics.

[0050] In addition, the relative position information calculation unit 115 has the following function: for the same subject, using two or more relative axial lengths measured at different times, it compares the relative axial lengths at each measurement time with the set of multiple relative axial lengths included in the overall information, and calculates the relative position information of the relative axial lengths of the subjects in the set of subjects, which is displayed in chronological order.

[0051] For relative position information shown in a more specific time sequence, such as Figure 4 As shown. Figure 4 For example, the screen shown on the display unit 310 of the terminal device 300 displays relative position information, which shows a comparison between the relative axial length of the subject calculated by the relative position information calculation unit 115 and the relative axial length of the whole in a time sequence.

[0052] exist Figure 4 The image shows a percentage growth curve, with age on the horizontal axis and relative axial length (axial length / height) on the vertical axis. The curve plots the change in the subject's relative axial length on the left side of the image, showing three measurement points and the line segment connecting them. This plotting is based on relating the relative axial length to the measurement time. Based on this relative positional information over time, it can be seen that the subject's relative axial length increased with each measurement. Thus, by using the relative positional information of relative axial length expressed as a time series, the development of myopia compared to a group can be accurately grasped, eliminating the influence of individual growth. Furthermore, if two or more relative axial lengths are plotted for the same subject at different measurement times, it is easier to understand whether the development is worsening or improving compared to the group.

[0053] Furthermore, relative position information is not limited to the examples mentioned above. For instance, relative position information can also be relative position information obtained by plotting the horizontal axis as the relative axial length after relativizing the corneal diameter and the vertical axis as the relative axial length after relativizing the corneal curvature, and analyzing it in four quadrants; or it can be relative position information representing changes in these time series.

[0054] (Processing flow) then, Figure 5 A flowchart illustrating the process executed in the information management server 101 of the myopia development analysis system 1000 according to an embodiment of this disclosure is provided. Hereinafter, the myopia development analysis method will be described following this flowchart. However, this flowchart is merely an example, and the myopia development analysis method is not limited to the processing shown in this flowchart.

[0055] In step S101, the axial length acquisition unit 111 acquires the axial length of the subject's eyes.

[0056] In step S102, the reference value acquisition unit 112 acquires a value related to body characteristics that is different from the axial length of the subject as a reference value.

[0057] In step S103, the relative axial length calculation unit 113 calculates the relative axial length obtained by relativizing the axial length obtained by the axial length acquisition unit 111 using the reference value obtained by the reference value acquisition unit 112.

[0058] In step S104, the overall information acquisition unit 114 acquires a set of information related to the relative axial length of multiple compared subjects who are compared with the subject, namely overall information.

[0059] In step S105, the relative position information calculation unit 115 compares the relative axial length of the subject calculated by the relative axial length calculation unit 113 with the multiple relative axial lengths included in the overall information, and calculates the relative position information representing the relative position of the relative axial length of the subject in the set of subjects.

[0060] Thus, the myopia development analysis apparatus, myopia development analysis system, myopia development analysis method, and myopia development analysis program according to the embodiments of this disclosure include an axial length acquisition unit 111, a reference value acquisition unit 112, a relative axial length calculation unit 113, an overall information acquisition unit 114, and a relative position information calculation unit 115. This allows for accurate assessment of axial myopia development, eliminating the influence of individual growth factors. Specifically, the axial length acquisition unit 111 acquires the axial length of the subject's eye, the reference value acquisition unit 112 acquires a value related to body characteristics that differs from the subject's axial length as a reference value, and the relative axial length calculation unit 113... The relative axial length obtained by relativizing the axial length obtained by the axial length acquisition unit 111 using the reference value acquired by the reference value acquisition unit 112 is calculated. The overall information acquisition unit 114 acquires overall information, which is a set of information related to the relative axial lengths of multiple compared subjects relative to the subject. The relative position information calculation unit 115 compares the relative axial length of the subject calculated by the relative axial length calculation unit with the relative axial lengths of the multiple compared subjects included in the overall information, and calculates relative position information indicating the relative position of the relative axial length of the subject in the set of compared subjects.

[0061] Furthermore, the measurement time information of the axial length, which serves as the basis for the calculation, and the acquisition time information of the reference value are associated with the relative axial length. The axial length and the reference value include the measurement time information and the acquisition time information as a time series corresponding to the time. The relative position information calculation unit 115 calculates the relative position information of the relative axial length of the subject at the predetermined measurement time and the relative axial length of multiple subjects at the corresponding measurement time contained in the overall information, which is displayed as a time series. This allows the influence of individual growth to be eliminated and the myopia development status compared with the group to be accurately grasped.

[0062] In addition, the relative position information calculation unit 115 compares the relative axial length of the subject at each measurement time with the relative axial length of the subject at two or more measurement times, and the relative axial length of the subject at each measurement time with the relative axial length of the subject included in the overall information at the corresponding measurement time. It calculates the relative position information of the relative axial length of the subject in the set of subjects, which is expressed as a time series. This makes it easier to understand whether the development is worsening or improving compared with the group.

[0063] Furthermore, the physical characteristics of the subjects used as reference values ​​are eye-related physical characteristics that differ from the subject's axial length. These characteristics include any one of the subject's interpupillary distance, corneal curvature, corneal diameter, or refractive power. This appropriately represents the eye-related physical characteristics specific to each individual subject. Moreover, acquiring the subject's eyeball characteristics simultaneously with axial length allows for smooth analysis of myopia progression.

[0064] The physical characteristics of the subject used as reference values ​​are those related to body parts different from the subject's eyes, such as eye socket size, height, or head size, thus appropriately representing the characteristics of individual development. Therefore, by eliminating their influence, the relative axial length can be calculated more accurately.

[0065] Regarding relative axial length, a more comprehensive relative axial length is obtained by using both eye-related body features that differ from the subject's axial length and body features related to body parts that differ from the subject's eye as a reference value.

[0066] (program) Figure 6 This is a schematic block diagram showing the structure of computer 801. Computer 801 includes CPU (Central Processing Unit) 802, main storage device 803, auxiliary storage device 804, and interface 805.

[0067] Here, the programs for implementing each function of the information management server 101 constituting each embodiment will be described in detail.

[0068] Information management server 101 is installed in computer 801. Furthermore, the operations of each component of information management server 101 are stored in auxiliary storage device 804 in the form of a program. CPU 802 reads the program from auxiliary storage device 804 and expands it in main storage device 803, executing the aforementioned processing according to the program. Additionally, CPU 802, according to the program, secures a storage area in main storage device 803 corresponding to the aforementioned storage unit.

[0069] Specifically, this program is a myopia development analysis program in computer 801 that analyzes the development of myopia and performs the following functions: obtaining the axial length of the subject's eye; obtaining a value related to body characteristics that is different from the subject's axial length as a reference value; calculating the relative axial length obtained by relativizing the axial length obtained by the axial length acquisition unit using the reference value obtained by the reference value acquisition unit; obtaining a set of information related to the relative axial lengths of multiple subjects compared to the subject, i.e., overall information; comparing the relative axial length of the subject calculated by the relative axial length calculation unit with the multiple relative axial lengths included in the overall information; and calculating the relative position information representing the relative position of the subject's relative axial length in the set of subjects.

[0070] Furthermore, the auxiliary storage device 804 is an example of a non-transitory tangible medium. Other examples of non-transitory tangible media include disks, optical discs, CD-ROMs, DVD-ROMs, semiconductor memories, etc., connected via interface 805, or, in the case where the program is sent to computer 801 via network NW, computer 801, upon receiving the program, expands the program on main storage device 803 and executes the aforementioned processing.

[0071] Alternatively, the program can be a part of the program used to implement the above-mentioned functions. Furthermore, the program can also be a program that implements the above-mentioned functions by combining with other programs already stored in the auxiliary storage device 804, i.e., a so-called differential file (differential program).

[0072] This concludes the description of the embodiments of this disclosure, but the methods of this disclosure are not limited to these embodiments.

[0073] Explanation of reference numerals in the attached figures 101 Information Management Server 111 Axial length acquisition section 112 Reference Value Acquisition Department 113 Relative Axial Length Calculation Section 114 General Information Acquisition Department 115 Relative Position Information Calculation Unit 121 Information Storage Department 200 ophthalmic devices 210 Ophthalmic Device Processing Department 211 Ophthalmic Device Computing and Processing Unit 212 Intraocular Distance Calculation Unit 213 Ocular Refractive Power Calculation Department 216 Ophthalmic Device Control Unit 221 Z Alignment System 222 XY Alignment System 230 Corneal Curvature Measurement System 241 Refraction Measurement Projection System 242 Refraction Measurement Receiver System 250 OCT Optical System 260 Fixed View Projection System 270 Anterior Eye Observation System 291 Ophthalmic Device Mobility Mechanism 292 Ophthalmic Devices Communications Department 293 Ophthalmic Device Display Section 294 Ophthalmic Device Operation Section 300 terminal device 310 Display Section 320 Input Section 1000 Myopia Development Analysis System NW network.

Claims

1. A myopia development analysis device for analyzing the myopia development status of a subject, wherein, have: The axial length acquisition unit acquires the axial length of the subject's eye; The reference value acquisition unit acquires a value related to a body characteristic that differs from the axial length of the subject as a reference value. The relative axial length calculation unit calculates the relative axial length, which is obtained by relativizing the axial length obtained by the axial length acquisition unit using the reference value obtained by the reference value acquisition unit. The overall information acquisition unit acquires a set of information related to the relative axial length of multiple compared subjects who are compared to the subject, i.e., overall information; as well as The relative position information calculation unit compares the relative axial length of the subject calculated by the relative axial length calculation unit with the relative axial lengths of multiple subjects included in the overall information, and calculates relative position information representing the relative position of the subject's relative axial length within the set of subjects being compared. The physical characteristics of the subject used as the reference value are physical characteristics related to body parts other than the subject's eyes, and are any one of the subject's eye socket size, height, or head size.

2. The myopia development analysis device according to claim 1, wherein, The measurement time information of the axial length, which serves as the basis for the calculation, and the acquisition time information of the reference value are associated with the relative axial length. The axial length and the reference value include the measurement time information and the acquisition time information as a time series corresponding to the time. The relative position information calculation unit calculates the relative position information, which displays the relative axial length of the subject at the predetermined measurement time and the relative axial length of multiple subjects compared at the corresponding measurement time, including the overall information, in a time series.

3. The myopia development analysis device according to claim 1, wherein, The relative position information calculation unit uses two or more relative axial lengths for different measurement times of the subject to compare the relative axial length of the subject at each measurement time with the relative axial lengths of multiple subjects at the corresponding measurement times included in the overall information, and calculates the relative position information of the relative axial length of the subject in the set of subjects, which is displayed in a time series.

4. The myopia development analysis device according to claim 1 or 2, wherein, Regarding the relative axial length, the reference value is calculated by using both eye-related body features different from the subject's axial length and body features related to body parts different from the subject's eyes, and by performing relative processing. Unlike the subject's axial length, the eye-related physical characteristic is any one of the subject's interpupillary distance, corneal curvature, corneal diameter, or refractive power.

5. A myopia development analysis system for analyzing the myopia development status of subjects, wherein, have: The measuring unit measures the axial length of the subject's eye. An axial length acquisition unit acquires the axial length measured by the measurement unit; The reference value acquisition unit acquires a value related to body characteristics that is different from the axial length of the subject as a reference value. The relative axial length calculation unit calculates the relative axial length, which is obtained by relativizing the axial length obtained by the axial length acquisition unit using the reference value obtained by the reference value acquisition unit. The overall information acquisition unit acquires a set of information related to the relative axial length of multiple compared subjects who are compared to the subject, i.e., overall information; as well as The relative position information calculation unit compares the relative axial length of the subject calculated by the relative axial length calculation unit with the relative axial lengths of multiple subjects included in the overall information, and calculates relative position information representing the relative position of the subject's relative axial length within the set of subjects being compared. The physical characteristics of the subject used as the reference value are physical characteristics related to body parts other than the subject's eyes, and are any one of the subject's eye socket size, height, or head size.

6. The myopia development analysis system according to claim 5, wherein, Regarding the relative axial length, the reference value is calculated by using both eye-related body features different from the subject's axial length and body features related to body parts different from the subject's eyes, and by performing relative processing. Unlike the subject's axial length, the eye-related physical characteristic is any one of the subject's interpupillary distance, corneal curvature, corneal diameter, or refractive power.

7. A storage medium storing a myopia development analysis program, wherein the myopia development analysis program analyzes the myopia development status of a subject, wherein... The myopia development analysis program is executed by a computer: The step of obtaining axial length involves obtaining the axial length of the subject's eye. In the reference value acquisition step, the reference value acquisition unit acquires a value related to body characteristics that is different from the axial length of the subject as a reference value. The relative axial length calculation step involves a relative axial length calculation unit calculating the relative axial length, which is obtained by relativizing the axial length obtained by the axial length acquisition unit using a reference value obtained by the reference value acquisition unit. The overall information acquisition step involves the overall information acquisition unit acquiring a set of information related to the relative axial length of multiple comparable subjects who are compared to the subject, i.e., the overall information. as well as In the relative position information calculation step, the relative position information calculation unit compares the relative axial length of the subject calculated by the relative axial length calculation unit with the relative axial lengths of multiple subjects included in the overall information, and calculates relative position information representing the relative position of the subject's relative axial length within the set of subjects being compared. The physical characteristics of the subject used as the reference value are physical characteristics related to body parts other than the subject's eyes, and are any one of the subject's eye socket size, height, or head size.