TW201904509A - Refractive error processing tracking method and system - Google Patents

Abstract

A system, method, and computer program product for evaluating the future axial elongation of a body's eye as a way to predict and track the deepening of a body's refractive errors. The method includes: receiving, via a computer interface, information about a subject's refractive changes within a previously predetermined time period from a reference point in time; receiving data representing an age of the individual and a representative as measured at the reference point in time Information on the current axial length value of one of the eyes; future axial elongation of one of the eyes that varies according to the age of the individual by the processor, such as the current axis of the eye measured at the reference time point To the length value and the refractive change during the previous predetermined time period; to generate an output indication of the future axial extension of the eye calculated, and to use the output indication to select a myopia control process for the individual .

Description

   Method and system for tracking refractive error   

The present invention relates to a method for determining a person's myopia deepening by predicting a change in an axial length of an individual's eye based on an individual's past refractive change rate, and a method for controlling myopic improvement based on predicted axial elongation Method and system for controlling processing options.

Common conditions leading to decreased visual acuity include nearsightedness and hyperopia. To this end, prescription glasses are used, or hard or soft correction lenses are prescribed. These conditions are generally described as an imbalance between the length of the eye and the focal point of the optical element of the eye. Eyes suffering from myopia focus light in front of the retinal plane, while eyes with hyperopia focus light behind the retinal plane. Suffering from myopia is generally caused by the axial length of the eye being increased to be longer than the focal length of the optical element of the eye, that is, the eye becomes too long. Suffering from hyperopia is generally caused by the axial length of the eye being too short compared to the focal length of the optical elements of the eye, that is, the eye length is insufficient.

Myopia is highly prevalent in many regions of the world. The biggest worry of this condition is that it may deepen into high myopia, for example deeper than five (5) or six (6) diopters, which will seriously affect a person's ability to operate without vision assistance. High myopia is also associated with an increased risk of retinal disease, cataract, and glaucoma, and myopia macular degeneration (MMD, also known as myopic retinopathy), and can become a permanent blindness worldwide The main reason. For example, MMD has been associated with refractive error (RE) to such an extent that there is no clear distinction between pathological and physiological myopia, and there is no "safe" degree of myopia.

Correction lenses are used to change the overall focus of the eye to present a clearer image on the plane of the retina, respectively, to correct the near vision by moving the focus from the front of the plane, or to correct the hyperopia by moving from the rear of the plane. However, this corrective method for these conditions does not address the underlying cause of the condition, but only the prosthesis or the intention to address symptoms.

Most eyes are not simply myopia or hyperopia, but have astigmatism or hyperopia astigmatism. The focus error of astigmatism causes the image of a point source of light to form two mutually perpendicular lines at different focal lengths. In the following discussion, the terms "myopia" and "hyperopia" are used to include simple myopia and myopia astigmatism, and hyperopia and hyperopia astigmatism, respectively.

The emmetropia describes a state of clear vision, in which an infinity object system is relatively sharp and clear when the crystalline lens is relaxed, without the need for optical correction. In normal or frontal adult eyes, light from both distant and near objects, through the aperture or the central or paraxial area of the pupil, is focused by the lens on the eye near the plane of the retina , Here, an inverted image is sensed. However, it has been observed that most normal eyes exhibit positive longitudinal spherical aberration, with a 5mm aperture generally in the region of +0.5 diopter (D), which means that when the eye is focused at infinity The light passing through the aperture or the periphery of the pupil is focused at + 0.5D in front of the retinal plane. As used herein, the metric D is the dioptric power, which is defined as the reciprocal (in meters) of the focal length of a lens or optical system.

The spherical aberration of a normal eye is not constant. For example, adjustments (changes in the optical power of the eye, which are mainly derived from changes in the lens), cause spherical aberrations to change from positive to negative.

US Patent No. 6,045,578 discloses that adding a spherical aberration to a contact lens will reduce or control the progression of myopia. The method includes changing the spherical aberration of an ocular system to change the growth of eye length. In other words, emmetropization can be adjusted by spherical aberration. In this procedure, the cornea of a myopic eye is adapted to a lens with increasing refractive power away from the center of the lens. The paraxial light entering the central part of the lens is focused on the retina of the eye to produce a clear image of one of the objects. The marginal light entering the surrounding part of the cornea is focused in a plane between the cornea and the retina, and produces a spherical aberration of the image on the retina. This positive spherical aberration has a physiological effect on the eyes, which tends to inhibit the growth of the eyes, thereby reducing the tendency of the myopic eyes to grow longer.

A system, method, and computer program product for evaluating a future axial elongation (a change in length) of an eye of a body and using an axial elongation value as an index of the myopia deepening of a body.

The system is a computer-implemented product that runs a computer program with a method for predicting the growth of a body's eye (ie, the axial elongation of a body's eye). The rate of myopia deepening varies, in particular, based on the individual's change in refractive power detected during a past predetermined period of time (ie, a past deepening rate (eg, within the past year)) and other parameters.

The present invention can therefore be used to determine an assessment of the change in refractive power of an individual within a predetermined time period in the past, and use this information to be able to predict a value representing a change in the axial length of the eye, thereby allowing the assessment of a future Myopia deepens during the time period.

These results can help clinicians detect excessive eye growth at an early age, thereby facilitating decisions regarding interventions for the prevention and / or control of myopia.

According to one aspect of the present invention, a provider is a computer-implemented method for processing nearsightedness in a body. The method includes receiving, through an interface at a computer, information about an individual's refractive changes from a reference point in time during a previously predetermined time period; receiving, through the interface, information representing an individual's age and, as in Data representing the current axial length value of one of the eyes measured at the reference time point; calculating the future axial elongation of one of the eyes that changes according to the age of the individual by the processor, as measured at the reference time point The current axial length value of the eye, and the refractive change during the previous predetermined time period; generating an output indication of the calculated future axial extension of the eye via the interface, and using the output indication Myopia control processing is selected for one of the individuals.

In one aspect, the computer-implemented method causes data on a subject's past refractive changes to be received at a computing device; and calculates one of the individual's refractive changes to deepen the rate of change from the past refractive changes data. The calculated rate of change is annualized to obtain the refractive change over the past year.

Based on the determined rate of change of deepening of the individual's refractive changes in the past year, the computer-implemented method calculates the future axial elongation of one of the eyes to a value according to the following: ΔAL = a × RECIPY ( D) -b × age + c × axial length-d where a, b, and c are the respective coefficients; d is a certain value in mm, RECIPY represents the refractive change in diopters, and age represents the year Count the age of an individual, and the axial length is in mm.

Based on the calculated ΔAL of a body, the implemented methods may specifically recommend a refractive error control treatment for the individual, such as a prescription for the use of myopia to control ophthalmic lenses, or a contact lens for myopia, for example.

According to another aspect of the present invention, there is provided a computer system for processing nearsightedness in a body. The system includes: a memory for storing instructions; and a processor coupled to the memory, the processor running the stored instructions to: via the server at the server An interface receives information about the change in refractive power of the individual from a reference point in time during a previously predetermined time period; receives data representing the age of the individual through the interface and, as measured at the reference point in time, the eye A current axial length value; calculating the future axial elongation of one of the eyes that varies depending on the age of the individual, the current axial length value of the eye as measured at the reference time point, and the previous The refractive change within a predetermined time period; an output indication of the calculated future axial elongation of the eye is generated via the interface, and the output indication is used to select a myopia control process for the individual.

In a further aspect, what is provided is a computer program product for performing operations. The computer program product includes a storage medium that can be read by a processing circuit and stores instructions that are run by the processing circuit for running a method. The method is the same as above.

10‧‧‧Central Processing Unit / CPU

11‧‧‧ Disk Unit

12‧‧‧Bus

13‧‧‧ belt drive

14‧‧‧ Random Access Memory

15‧‧‧ keyboard

16‧‧‧Read-only memory

17‧‧‧ Mouse

18‧‧‧ input / output (I / O) adapter

19‧‧‧ User Interface Adapter

20‧‧‧Communication adapter

21‧‧‧Display adapter

22‧‧‧ Microphone

23‧‧‧display device

24‧‧‧Speaker

25‧‧‧Data Processing Network

99‧‧‧Internet

100‧‧‧System / Computing Device / Computer

120‧‧‧Server

121‧‧‧ Smart Device

125‧‧‧ Website

130‧‧‧Database

152A, 152B‧‧‧Processor

154‧‧‧Memory / Memory storage device

156‧‧‧Interface

158‧‧‧Display Device / Monitor / Display Interface

159‧‧‧input device

160‧‧‧Memory / Memory storage device

170‧‧‧Application / Operating System Software

175‧‧‧Software Application Module

180‧‧‧Program module / Calculator module

190‧‧‧Calculator / program module

195‧‧‧Module

200‧‧‧ Method

205,210,215,220,225,230,235‧‧‧ steps

The foregoing and other features and advantages of the present invention will be more clearly understood from the following more detailed description of the preferred embodiments of the present invention, as illustrated by the accompanying drawings.

FIG. 1 depicts a computer-implemented system for assessing future axial elongation of an individual's eye; FIG. 2 depicts a method for suggesting treatment options for myopia based on the estimated axial elongation of an individual's eye in accordance with an embodiment .

FIG. 3 shows a representative hardware environment for implementing at least one embodiment of the present invention.

The present invention relates to a method and system for tracking the deepening of an individual's refractive error over time by evaluating the future axial elongation (change in length) of the individual's eyes and using the axial elongation value as an index of the individual's myopia deepening.

In one embodiment, a computer-implemented system runs a computer program product having a method for predicting the growth of an individual's eyes (ie, the axial elongation of the individual's eye), which is based on the individual's past myopia deepening rate, It is based on the change of the refractive power detected by the individual within a predetermined period of time (for example, within the past year), and other parameters.

According to another exemplary embodiment, the present invention is a method for assessing future myopia deepening based on predicted axial elongation of an individual's eye, providing processing options to reduce, delay, eliminate, and potentially reverse myopia deepening in an individual .

FIG. 1 depicts a computer-implemented system for assessing future axial elongation of an individual's eye and determining myopia control processing. In some aspects, the system 100 may include a computing device, a mobile device, or a server. In some aspects, the computing device 100 may include, for example, a personal computer, a notebook computer, a tablet computer, a smart device, a smartphone, or any other similar computing device for receiving input data and for performing data analysis ( Such as one or more of the method steps discussed herein), and for outputting data. The input data and output data may be stored or stored in at least one database 130. Input data and / or output data can be accessed by a software application 170 installed on a computer 100 (eg, a computer in an ophthalmologist (ECP) office); by a downloadable software application (app) on a smart device 121 ; Or via a secure website 125 or a network link accessible from a computer via network 99. Input data and / or output data can be displayed on a graphical user interface of a computer or smart device.

Specifically, the computing system 100 may include one or more hardware processors 152A, 152B, a memory 154 (for example, for storing an operating system and application program instructions), a network interface 156, a display device 158, An input device 159, and any other features common to computing devices. In some aspects, the computing system 100 may be, for example, any computing device configured to communicate with a website 125 or a web-based or cloud-based server 120 within a public or private communication network 99. In addition, as shown as part of the system 100, historical data related to refractive changes of individuals measured from the clinician and including associated myopia control processing is obtained and stored in attached or remote memory storage devices (E.g. database 130).

In the embodiment depicted in Figure 1, the processors 152A, 152B may, for example, include a microcontroller, a field programmable gate array (FPGA), or any other processor configured to perform various operations. The processors 152A, 152B may be configured to execute instructions, as described below. Such instructions may be stored, for example, as a stylized module in the memory storage device 154.

The memory 154 may, for example, include non-transitory computer-readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory or others. The memory 154 may include, for example, other removable storage media / non-removable storage media, volatile storage media / non-volatile storage media. By way of non-limiting example only, the memory 154 may include a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory Memory (EPROM or flash memory), compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.

The network interface 156 is configured to transmit and receive data or information to and from the web server 120, such as via a wired or wireless connection. For example, the network interface 156 may utilize wireless technologies and protocols such as Bluetooth®, WIFI (e.g., 802.11a / b / g / n), cellular networks (e.g., CDMA, GSM, M2M, and 3G / 4G / 4G LTE) ), Near field communication systems, satellite communications, via a local area network (LAN), via a wide area network (WAN), or any other form of communication that allows the computing device 100 to transmit information to or receive information from the server 120.

The display 158 may include, for example, a computer monitor, a television, a smart TV, a display screen integrated into a personal computing device, such as, for example, a tablet, a smart phone, a smart watch, a virtual reality headset, a smart wearable device, Or any other organization that displays information to users. In some aspects, the display 158 may include a liquid crystal display (LCD), an electronic paper / electronic ink display, an organic LED (OLED) display, or other similar display technologies. In some aspects, the display 158 may be touch-sensitive and may also function as an input device.

The input device 159 may include, for example, a keyboard, a mouse, a touch-sensitive display, a keypad, a microphone, or other similar input devices, or any other input device that may be used alone or together to provide the user with the ability to interact with the computing device 100.

Regarding the capabilities of the computer system 100 for calculating the axial length change of an individual's eye, the system 100 includes a memory 160 configured to store information about past refractive changes / refractive errors of the current individual, such as defined Information received from a clinician within a period of time (such as the past year). In one embodiment, this data may be stored in the local memory 160 (that is, for the computer or mobile device system 100 area), or may be retrieved from the remote server 120 through the network in other ways. Data about the past refractive changes of the current individual can be accessed via a remote network connection for input to the area-attached memory storage device 160 of the system 100.

In one embodiment, the computing system 100 provides a technology platform using a programmed processing module stored in a device memory 154, which can be run through the processors (s) 152A, 152B to provide the system for The ability to calculate the future axial elongation of an individual's eye based on the historical refractive change data input set received for the individual.

In an embodiment, the program modules stored in the memory 154 may include operating system software 170 and software application modules 175 for running the methods herein, which may include associated mechanisms, such as for specifying How APIs (Application Programming Interfaces), web services, etc. of various software modules interact are used to control the operations used to implement axial length calculation changes. A program module 180 stored in the device memory 154 may include a `` RECIPY '' calculator 190 for determining a value (`` RECIPY '') representing a change in refractive power of a current individual over a period of time (e.g., one year). . From this individual's refractive index change rate value, another program module 190 stored in the device memory 154 may include code that provides various data and instructions for processing an algorithm that is run by a processor. To predict the change in axial length value ("ΔAL") for that individual. Based on the predicted change in axial length of the individual ("△ AL"), another module 195 may be called to suggest to the clinician, the individual, or any user that it can be used to inhibit or prevent refractive changes Or, the treatment option (s) (such as the type of myopia contact lenses) that reduce the rate of deepening of the individual's refractive power.

FIG. 2 depicts a computer-implemented method 200 operating at the system 100 to assess future axial elongation of an individual's eye and to suggest treatment options for myopic patients based on the evaluated future axial elongation of the individual's eye, according to one embodiment. One body may include children from about 6 to 14 years of age. However, the methods herein may also be applied to younger children, older adolescents, or young adults.

In one embodiment, the method receives at 205 data representative of the refractive value during a time period measured for the individual. For example, the system 100 of FIG. 1 receives data from the memory that represents a body's refractive changes over a period of time. In an example, a time period may be one or more years before a reference point in time (eg, the current day). Further, at 210, the system of FIG. 1 receives characteristics about the individual, including at least the age of the individual. At 215, the system 100 receives a current measurement of the axial length of the eye. If this information is not available, the clinician or ECP can prompt through the system display interface 158 to use ultrasound, partial coherence interference measurement, optical low-homometry reflection measurement, frequency-coherent optical coherence tomography, or other Measurement techniques to obtain or obtain current measurements of the axial length of an individual's eye. Since the data representing the refractive value measured for the individual within a time period, the system calls the RECICY calculator module 180 to calculate the rate of the individual's refractive change value within a time period at 220. By annualizing the rate of change, the system calculates the "RECIPY" refractive error change in previous years. For example, if the refractive error data 2 years before the current date is known, and the refractive change is -2D, there will be a RECIpy value of -1D, where D is the refractive power. Although changes in refractive error are generally measured in clinical practice, future deepening is captured as axial elongation because this parameter is a more sensitive measurement than monitoring refractive error in deepening and is related to changes in myopia ( Developments such as myopic retinopathy) are most relevant.

Although the myopia deepening may be characterized by an individual's refractive error changes, according to this embodiment, the myopia deepening may be characterized as a change in the axial length of the individual's eyes. Continuing to step 225 (FIG. 2), the system 100 runs the changes in the axial length calculator module 190 for predicting changes in the axial length of the individual eye. The following equation 1) represents the predicted change that is based on the annualized past rate of the refractive change "RECIPY" value, the age data received at step 210, and the axial length data received at 215 when making the prediction. The axial length changes "△ AL".

△ AL = f (RECIPY, age, axial length)

Specifically, △ AL = [ a (mm / D) × RECIPY (D)]- b (mm / yr) × age (yrs)] + [ c × axial length (mm)]- d (mm) ( 1) Where: △ AL is the axial elongation of the evaluated eye (for example, within a period of 12 months after the reference time point) and is measured in millimeters, and RECICY is the refractive error (or relative amount, Among them, the refractive data during the previous 12 months is not specifically available) and is measured by the diopter D, "age" is the age of the child in years, and "axial length" is in mm Measure the axial length of the eye. In an embodiment, the coefficient value a = -0.12051 +/- 0.05162 (mm / D); the coefficient value b = 0.03954 +/- 0.00323 (mm / yr); the coefficient value c = 0.036819 +/- 0.001098; and the value d = 0.35111 +/- 0.025809 (mm).

It should be understood that, in a further embodiment, an equivalent form of equation 1) for predicting the future axial elongation of an eye that changes based on previous refractive changes, the current axial length, and the age of the patient may be implemented. This prediction of future refractive changes may receive a past axial elongation measurement as an input parameter. This prediction of future refractive changes can also output future predicted refractive changes. In addition, the form of equation 1) can be modified to receive additional input parameters corresponding to other potential predictors of deepening of refractive error, which include but are not limited to biometric data of the patient or patient's eyes (such as corneal radius, anterior chamber ) Depth, crystalline lens thickness, crystalline lens power, vitreous chamber depth, or the like), or patient behavior, including but not limited to the amount of time spent in certain activities (including the level of outdoor activities, close work activities (Such as daily, weekly, or monthly reading hours, or time spent on research or reading, or time spent on digital devices), or information about the patient's genetic makeup (including, but not limited to: The number of myopia parents or siblings, the refractive status of the patient's parents or siblings, the ethnicity, ethnic group, gender of the parents), or further parameters (including but not limited to, such as the geographical location or degree of urbanization of the country), or after consideration Any other type of demographic or environmental variable related to deepening of refractive power.

In one embodiment, Equation 1) results from a model that has been developed to predict future changes in ΔAL of refractive error based on data from a control group of clinical studies. In an example study, 100 subjects in the control group have been paying attention for 2 years, and the system obtained cycloplegic autorefraction and axes available at baseline (12 and 24 months) To length data, and age, race, and ethnicity data for those objects. The first twelve-month data is used as the previous history, and the second twelve-month data is used as the future deepening, of which the 12-month test is set as the date for the deepening prediction for the second twelve-month period. (That is, the "reference" point in time). The subjects included in this data set were children between the ages of 8 and 15 years (mean ± SD = 9.8 ± 1.3 years), with baseline best spherical refraction between -0.75D and -5.00D, and astigmatism. Less than or equal to 1.00D. Fifty-one percent of these subjects were female and 93% were Asian. Only the right eye of these subjects is included in this data set for analysis. The mean (± SD) of "RECIPY" in this data set is -0.64 ± 0.52D (range: -2.25 to + 0.50D) of the refractive change. The axial extension during the first 12 months is 0.25 ± 0.16mm (range: -0.18 to 0.65mm). At the beginning of the second year, the mean ± SD of the spherical equivalent of the autorefractive of ciliary muscle paralysis is -3.35 ± 1.26D (range: -1.37 to -6.87D), and the average of the axial length ± SD is 24.86 ± 0.87mm (Range: 23.07 to 26.78mm).

Available information includes RECICY, refractive error, and axial length, gender, ethnic group, and axial elongation during the second 12-month period at the reference time point. Perform multivariate analysis and produce equation 1) associated with these variables and obtain: △ AL = [-0.12051 (mm / D) × RECIPY (D)]-[0.03954 (mm / yr) × age (yrs)] + [0.036819 × axial length (mm)]-0.35111 (mm).

The statistical information on this adaptation is shown in Table 1 below, where F and P represent statistical values that determine statistical significance as derived from performing a variation analysis. Based on the low P-values, it can be seen that RECICY, age, and axial length are significant predictor values.

In one embodiment, the person who is rapidly deepened can be regarded as having the aforementioned axial elongation (for example, 0.20 mm). In this case, the equation 1) algorithm exhibits a sensitivity of 0.87 and a specificity of 0.58. In one embodiment, the average deepening of those predicted to be rapid deepening based on this criterion is 0.301 mm / yr, and the average deepening of those predicted to be slowly deepening (0.146 mm / yr) Twice. If the cutoff value of the 0.23mm auto-calculation algorithm is used to predict those that will deepen more than 0.20mm, the sensitivity is 0.79 and the specificity is 0.71.

Table 2 below shows some options for the axial elongation in the second year given the information at the reference time point (i.e. the age at the reference time point, the axial length at the reference time point, and the determined RECICY value) Example forecast.

Returning to FIG. 2, based on the predicted future ΔAL change of the refractive deepening, a specific type of soft lens or a corrective corneal treatment plan may be suggested. In an embodiment, at 230 of FIG. 2, given an individual's predicted myopia deepening based on a predicted ΔAL change within the next year, the system 100 may determine an optical device, such as having a suitable refractive design to Use soft contact lenses that are treated for myopia in individuals. In an embodiment, the processing option may include a multifocal contact lens with positive spherical aberration and increasing refractive power away from the center of the lens, which establishes an amount of surrounding "blur" that is deprived in a manner that is known to inhibit eye growth Eye light. In other embodiments, a solution of eye drops or other drug treatments administered to the individual may be determined to be suitable for reducing the progression of myopia; or a scheme of spending time outdoors may be determined to delay or prevent the progression of myopia. Any processing option available now or in the future that can reduce, delay, eliminate, or even reverse the deepening of the individual's myopia can be determined at 230. At 235 (FIG. 2), the system can automatically generate recommendations to the clinician via the system display interface 158, whether it is a system display interface that is regionally connected to the system or communicates with a remote computer via a network.

In an embodiment, the display may be a graphical user interface of a computer or a smart device (such as a tablet computer, a smart phone, a personal digital assistant, a wearable digital device, a gaming device, a TV). In a specific embodiment, the display can be synchronized on the computer or smart device of the eye care provider and on the user's computer or smart device.

    Fast deepener forecast    

In one embodiment, the system 100 may further identify those who are short-sighted who may be rapidly deepened. The detection of this type of myopia can be used to select the objectives of the treatment plan and design a clinical study of myopia control. As has been shown, the history of rapid deepening is similar to or better than age (well-known risk factor) in predicting the possibility of future rapid deepening, including the calculation of historical refractive deepening (Equation 1 of RECIPH). The method can be used to predict rapid deepening in the future.

In a further example, the system 100 receives an automatic ciliary muscle paralysis obtained during one of the time periods included at baseline (1 and 2 years in 100 children with -0.75 to -5.00D myopia, ages 8 to 15 years). Refraction (CAR) data and axial length data (for example, obtained from partial interferometry). The multivariate regression analysis was performed with the right eye axial elongation during the second year, with the previous year's refractive error (RECIPY), age, gender, ethnic group, 1-year axial length, and 1-year refractive error And fit in multivariate analysis. Axial elongation was chosen as a dependent variable because of its better sensitivity in identifying deepening, but in the past refractive changes were used as predictive variables.

Examples of RECIPY, age, and 1-year axial length factors are the results of p-value analysis: RECIPY (p <0.0001), age (p <0.001), 1-year axial length (p <0.05), and RECIPY * age interaction ( p <0.05) indicates that all of these factors contributed significantly to predicting axial elongation between 1 and 2 years. Gender, ethnicity, and 1-year refractive error did not contribute significantly to predict axial elongation. The model fits 57% of the variation in axial elongation at year 2. Using the standard of 0.2mm, the model has a sensitivity of 0.87 and a specificity of 0.58 in predicting rapid deepening. The average deepening (0.301 mm / yr) of those classified as rapid deepening by this criterion is twice the average deepening (0.146 mm / yr) of those who are predicted to be slowly deepening.

Therefore, the ΔAL operation according to equation 1) provides a good prediction of future axial elongation. This information can be used to guide the design of myopia control processing and clinical research.

Applicant's Coexisting U.S. Patent Application No. 15 / 007,660 (the entire contents and disclosure of the case are incorporated herein by reference as if fully set forth herein) detailing the use of System and method for deepening refractive error of time. The described systems and methods are applied to optimally determine the process of myopia treatment, and for ECP to assess whether the process of treatment applied to an individual over time has been / may be effective. ECP, parents, and patients therefore have a better understanding of the possible long-term benefits of specific myopia control treatments.

Based on these systems, methods, and computer program products, the present invention can assist the ECP in selecting the type of myopia control treatment and / or ophthalmic lenses for children based on the calculated future axial elongation of the eye and the resulting expected myopia progression.

The method system described in co-pending US Patent Application No. 15 / 007,660 can be implemented on the ECP to demonstrate and track the effectiveness of treatments that slow the progression of myopia and allow individuals to understand the long-term benefits of myopia control treatment. The principles described in co-pending US Patent Application No. 15 / 007,660 can be applied to track myopia control therapies that slow the progression of myopia based on a determination of the predicted axial elongation value according to Equation 1).

Therefore, tracking methods and systems that assess potential axial elongation relative to individual eyes of a reference population over a predetermined period of time in the future can be used to: 1) allow the ECP to predict and track deepening of axial elongation (and therefore refractive power), and Demonstrate and track the effectiveness of treatments that slow the progression of myopia and / or 2) allow patients or parents to understand the long-term benefits of myopia control treatments.

Although the principles discussed herein are related to myopia, the present invention is not limited thereto and may be applied to other refractive errors such as hyperopia or astigmatism.

As will be understood by those having ordinary knowledge in the art based on this disclosure, aspects of the present invention may be embodied as a system, method, or computer program product. Accordingly, the form of the aspect of the present invention may take an all-hardware embodiment, an embodiment of a processor operating with software (including firmware, resident software, microcode, etc.), or a combination of software and hardware Such embodiments may be generally referred to herein as a "circuit", a "module", or a "system". In addition, the aspect of the present invention may be in the form of a computer program product implemented in one or more computer-readable media having computer-readable codes implemented thereon.

Any combination of one or more computer-readable media can be used. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (non-exhaustive list) of computer-readable storage media would include the following: electrical connections with one or more wires, portable computer discs, hard drives, random access memory (RAM), Read Memory (ROM), Erasable Programmable Read Only Memory (EPROM or Flash Memory), Optical Fiber, Portable Disc Read Only Memory (CD-ROM), Optical Storage Device, Magnetic Storage Device , Or any suitable combination of the above. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that may contain or store a program for use by or connected to an instruction execution system, device, or device.

The computer code used to implement the aspects of the present invention can be written in any combination of one or more programming languages including object-oriented programming languages such as Java, Smalltalk, C ++, C #, Transact-SQL , XML, PHP, or similar) and familiar programming languages (such as the "C" programming language or similar). The code can be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or all on a remote computer or server. In later solutions, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection is made to an external computer (For example, via the Internet using an Internet service provider).

Computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing equipment to generate a machine, which enables the establishment and implementation of instructions executed by the processor of a computer or other programmable data processing equipment A component that specifies a function / action.

These computer program instructions can also be stored in a computer-readable medium that can direct the computer, other programmable data processing equipment, or other devices to function in a specific way so that the computer-readable instructions can be stored there. Such instructions in the media produce articles of manufacture that include instructions to implement specific specified functions / actions.

The computer program instructions may also be loaded on a computer, other programmable data processing equipment, or other device, so that a series of operation steps are executed on the computer, other programmable equipment, or other device to generate a A computer implements a program such that the instructions executed on the computer or other programmable device provide a program for implementing a specific specified function / action.

Reference is now made to FIG. 3, which depicts a representative hardware environment for implementing at least one embodiment of the present invention. This schematic diagram illustrates a hardware configuration of an information processing / computer system according to at least one embodiment of the present invention. The system includes at least one processor or a central processing unit (CPU) 10. The CPU 10 is interconnected with the system bus 12 to various devices, such as a random access memory (RAM) 14, a read-only memory (ROM) 16, and an input / output (I / O) adapter 18. The I / O adapter 18 can be connected to peripheral devices such as the magnetic disk unit 11 and the tape drive 13 or other program storage devices readable by the system. The system can read the instructions of the invention on the program storage device and follow the instructions to execute the method of at least one embodiment of the invention. The system further includes a user interface adapter 19 that connects a keyboard 15, a mouse 17, a speaker 24, a microphone 22, and / or other user interface devices such as a touch screen device (not shown) (Shown)) is connected to the bus 12 to collect user input. Additionally, the communication adapter 20 connects the bus 12 to the data processing network 25, and the display adapter 21 connects the bus 12 to a display device 23, which may be embodied, for example, as an output device such as a monitor, Printer, or transmitter).

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein, the singular forms "a / an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that when used in this specification, the root terms "include" and / or "have" specify the presence of stated features, integers, steps, operations, elements, and / or components, The existence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof is not excluded.

As used herein, "in communication" includes physical and wireless connections, either indirectly through one or more additional components (or over a network) or directly between two components described as communication.

Although the shown and depicted are considered to be the most practical and optimal embodiments, for those of ordinary skill in the art, one can still easily think about the specific designs and methods described and shown, and It can be used without departing from the spirit and scope of the present invention. The invention is not limited to the specific structures described and illustrated, but should be constructed to conform to all modifications that may fall within the scope of the appended patents.

[Cross Reference of Related Applications]

This patent application claims priority from US Provisional Patent Application No. 62 / 489,666 filed on April 25, 2017, and is a partial continuation of US Patent Application No. 15 / 007,660 filed on January 27, 2016 case.

Claims (20)

    A computer-implemented method for processing a person's myopia, the method comprising: receiving, via an interface at a computer, information about a subject's refractive changes within a previously predetermined time period from a reference time point; The interface receives data representing the age of the individual and data representing the current axial length value of one of the eyes as measured at the reference point in time; a processor predicts the eye of the eye that changes according to the age of the individual A future axial elongation, the current axial length value of the eye as measured at the reference time point, and the refractive change during the previous predetermined time period; the predicted future of the eye is generated through the interface One of the axial elongation outputs an instruction, and the output instruction is used to select a myopia control process for the individual.         The computer-implemented method as recited in claim 1, further comprising: receiving information about past refractive changes of the individual; and calculating one of the individual's refractive changes from the past refractive change data to deepen the rate of change; and The calculated deepening change rate is annualized to obtain the refractive change over the past year.         The computer-implemented method according to claim 1, wherein the myopia control process includes a myopia control ophthalmic lens, a corrective keratology treatment scheme, or a medicine treatment scheme.         The computer-implemented method according to claim 3, wherein the myopic control ophthalmic lens comprises a myopic control contact lens.         The computer-implemented method of claim 1, further comprising: comparing, by the processor, the calculated axial extension of the eye with a predetermined threshold value; and when the calculated axial direction of the eye When the elongation is greater than the predetermined threshold, the processor identifies a system that is rapidly deepening.         The computer-implemented method according to claim 5, wherein the predetermined threshold is about 0.301 mm / yr.         The computer-implemented method of claim 2, wherein the calculated axial extension of the eye is a value ΔAL, and the method includes calculating ΔAL based on: ΔAL = a × RECIPY (D) -b × age + c × axial length-d where a, b, and c are respective coefficients; d is a certain value in mm, RECICY represents the refractive change in diopter (D), and age represents one in years The age of the individual and the axial length in mm.     The computer-implemented method as described in claim 7, wherein a = -0.12051 +/- 0.05162 (mm / D); coefficient b = 0.03954 +/- 0.00323 (mm / yr); coefficient c = 0.036819 +/- 0.001098 ; And the value d = 0.35111 (mm) +/- 0.025809.     A computer system for processing myopia of a body includes: a memory for storing instructions; and a processor coupled to the memory, the processor running the stored instructions to: Receiving information about the refractive changes of the individual from a reference point in time during a previously predetermined time period via an interface at a server; receiving information representing the age of the individual through the interface and as at the reference time Data measured at a point representing the current axial length of one eye; predicting future axial elongation of one of the eyes that varies depending on the age of the individual, such as the current axial length of the eye measured at the reference time point The length value, and the refractive change during the previous predetermined time period; generating an output indication of the predicted axial extension of the eye via the interface, and using the output indication to select a myopia for the individual Control processing.         The computer system of claim 9, wherein the stored instructions further configure the processor to: receive information about the individual's past refractive changes; and calculate the individual's refractive from the past refractive changes data One of the light changes deepens the rate of change; and the calculated rate of deepened changes is annualized to obtain the refractive change over the past year.         The computer system according to claim 9, wherein the myopia control processing includes one or more of the following: a myopia-control ophthalmic lens, a myopia-control contact lens, and a soft contact lens, a corrective keratology treatment plan, or A drug treatment program.         The computer system of claim 9, wherein the processor executes further instructions to: compare the calculated axial extension of the eye with a predetermined threshold value; and when the calculated axial extension of the eye is greater than When the predetermined threshold value is identified, a system with a rapid deepening is identified; and a myopia control process is selected for one of the rapid deepening.         The computer system according to claim 9, wherein the calculated axial extension of the eye is a value ΔAL, and the processor executes further instructions to calculate ΔAL according to the following: △ AL = a × RECIPY (D) -b × age + c × axial length-d where a, b, and c are the respective coefficients; d is a certain value in mm, RECICY represents the refractive change in diopters, and age represents the change in years The age of a body and its axial length in mm.     The computer system according to claim 13, wherein a = -0.12051 +/- 0.05162 (mm / D); coefficient value b = 0.03954 +/- 0.00323 (mm / yr); coefficient value c = 0.036819 +/- 0.001098; And the value d = 0.35111 (mm) +/- 0.025809.     A computer program product for processing a person's nearsightedness, the computer program product includes a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium has program instructions utilizing the program instructions, and the program instructions Implemented by a processor to execute a method, the method comprising: receiving, via an interface at a computer, information about a subject's refractive changes within a previously predetermined time period from a reference point in time; via the interface Receiving data representing the age of the individual and data representing the current axial length value of one of the eyes as measured at the reference time point; the processor predicts one of the eyes that varies according to the age of the individual Future axial elongation, the current axial length value of the eye as measured at the reference time point, and the refractive change during the previous predetermined time period; and the predicted future of the eye generated through the interface One of the axial elongation outputs an instruction, and the output instruction is used to select a myopia control process for the individual.         The computer program product of claim 15, wherein the program instructions further configure the processor to execute: receive information about a past refractive change of the individual; and calculate the individual's refractive from the past refractive change data One of the light changes deepens the rate of change; and the calculated rate of deepened changes is annualized to obtain the refractive change over the past year.         The computer program product according to claim 15, wherein the myopia control processing includes a myopia control ophthalmic lens, a correction keratology treatment scheme, or a medicine treatment scheme.         The computer program product according to claim 17, wherein the myopic control ophthalmic lens comprises a myopic control contact lens.         The computer program product according to claim 15, wherein the calculated axial extension of the eye is a value ΔAL, and the method includes calculating ΔAL based on: ΔAL = a × RECIPY (D) -b × age + c × axial length-d where a, b, and c are respective coefficients; d is a certain value in mm, RECICY represents the refractive change in diopters, and age represents the age of an individual in years , And the axial length is in mm.     The computer program product according to claim 19, wherein a = -0.12051 +/- 0.05162 (mm / D); coefficient b = 0.03954 +/- 0.00323 (mm / yr); coefficient c = 0.036819 +/- 0.001098 ; And the value d = 0.35111 (mm) +/- 0.025809.