JP7175626B2 - Non-emmetropia treatment tracking method and system - Google Patents

Description

(Cross reference to related applications)
This patent application claims the benefit of U.S. Provisional Patent Application No. 62/489,666, filed April 25, 2017, and U.S. Patent Application No. 15/15, filed January 27, 2016. This is a continuation-in-part of 007,660.

(Field of Invention)
The present invention determines the progression of an individual's myopia by predicting changes in the axial length of the individual's eye based on the individual's past refractive rate of change, and refraction based on the predicted axial elongation. Kind Code: A1 Methods and systems for recommending myopia-reducing treatment options to slow progression.

Common conditions that lead to vision loss include myopia and hyperopia, for which corrective lenses in the form of spectacles or hard or soft contact lenses are prescribed. These symptoms are commonly described as an imbalance between the length of the eye and the focus of the optical components of the eye. Myopic eyes focus in front of the retinal plane and hyperopic eyes focus behind the retinal plane. Myopia typically develops because the axial length of the eye becomes longer than the focal length of the optical components of the eye, ie the eye is overstretched. Hyperopia typically develops because the axial length of the eye is too short compared to the focal length of the optical components of the eye, ie the eye does not grow long enough.

Myopia has a high prevalence in many parts of the world. Of greatest concern with this condition is the possibility of progression to high myopia, for example greater than 5 or 6 diopters, which dramatically affects the ability to function without visual aids. High myopia is also associated with increased risk of retinal disease, cataracts, glaucoma, and myopic macular degeneration (MMD; also known as myopic retinopathy), leading to permanent blindness worldwide. can be the main cause of For example, MMD is associated with refractive error (RE) to the extent that there is no clear distinction between pathological and physiological myopia, and there is no "safe" level of myopia.

Corrective lenses adjust the total area of the eye to draw a sharper image on the retinal plane by shifting focus from in front of the retinal plane to correct nearsightedness or behind the retinal plane to correct farsightedness, respectively. Used to change the gross focus. However, corrective approaches to the condition are merely prosthetic, ie, aim to address the symptom rather than addressing the cause of the condition.

Most eyes have myopic or hyperopic astigmatism rather than simple myopia or simple hyperopia. Astigmatic error in focus causes the image of a point source to form as two mutually perpendicular lines at different focal lengths. In the content discussed below, the terms myopia and hyperopia are used to include simple myopia and myopic single astigmatism, and hyperopia and hyperopic single astigmatism, respectively.

Emmetropia describes a state of sharp vision in which objects at infinity are relatively sharply focused without the need for optical correction and with the crystalline lens relaxed. In the normal, or normopic, adult eye, light from both far and near objects through the aperture, the center of the pupil, the paraaxial region, reaches the eye near the retinal plane where inverted images are perceived. is focused by a crystal lens inside the . However, most normal eyes are generally observed to exhibit positive longitudinal spherical aberration in the region of about +0.5 diopters (D) for a 5 mm aperture, i.e., aperture around the aperture pupil, i.e. Light rays passing through the pupil are focused +0.5D in front of the retinal plane when the eye is focused to infinity. As used herein, the scale D is the diopter power defined as the reciprocal of the focal length of the lens or optical system in meters.

The normal eye's spherical aberration is not constant. For example, accommodation (a change in the light output of the eye derived primarily through alterations to the lens) causes spherical aberration to change from positive to negative.

US Pat. No. 6,045,578 discloses reducing or inhibiting the progression of myopia by adding positive spherical aberration to contact lenses. This method involves changing the spherical aberration of the visual system to change the elongation of the length of the eye. In other words, the emmetropism can be adjusted by spherical aberration. In this process, the cornea of a myopic eye is fitted with a lens having a diopter power that increases away from the center of the lens. Paraxial rays incident on the central portion of the lens are focused on the retina of the eye and produce a sharp image of the object. Marginal rays incident on the peripheral portion of the cornea are focused in the plane between the cornea and the retina and produce positive spherical aberration of the image on the retina. This positive spherical aberration exerts a physiological effect on the eye that tends to prevent the eye from stretching, thereby reducing the tendency of the myopic eye to stretch longer.

A system, method, and computer program product for estimating future axial elongation (change in length) of an individual's eye and using the axial elongation value as an indicator of myopia progression in an individual.

A system implemented by a computer to detect eye elongation, i.e., axial elongation of an individual's eye, based on the individual's past rate of myopia progression and, in particular, for the individual over a period of time in the past. A computer program product having a method of predicting is executed as a function of the value of refraction change obtained, ie, rate of progression over the past (eg, the past year), and other parameters.

Thus, the present invention can determine an estimate of an individual's refractive change over a given time period in the past, and use this information to predict values representing changes in axial length of the eye, thus reducing myopia over future time periods. can be used to allow estimation of the progression of

These results may help clinicians detect excessive eye stretching in early childhood, thus facilitating decision-making on interventions to prevent and/or control myopia.

According to one aspect of the invention, a computer-implemented method for treating myopia in an individual is provided. The method includes receiving, via an interface with a computer, data relating to refractive changes from a reference time point of the individual during a previous predetermined time period; and the future axis of the eye depending on the age of the individual, the current axial length value of the eye as measured at a reference time point, and the refractive change over the previous predetermined period of time. calculating the directional elongation by a processor; generating an output indication of the calculated axial elongation of the eye via an interface and using the output indication to select a myopia-reducing treatment for the individual; including.

In one aspect, a computer-implemented method causes a computing device to receive data regarding an individual's past refractive changes, and from the historical refractive change data, calculate a progressive rate of change of the individual's refractive changes. This calculated rate of change is then converted to an annual rate to obtain the refractive change for the past year.

Based on the determined progressive rate of change in refractive change of the individual over the past year, the computer-implemented method calculates the future axial elongation of the eye as a value ΔAL by:
ΔAL=a×RECIPY(D)−b×age+c×axial length−d
where a, b, and c are the corresponding coefficients, d is a constant value in mm, RECIPY represents the refractive change in diopters, age represents the age of the individual in years, Axial length is in mm.

Based on an individual's calculated ΔAL, the method of implementation may recommend prescription of non-emmetropic treatment, e.g., use of myopia-suppressing ophthalmic lenses (e.g., myopia-suppressing contact lenses) specific to that individual. good.

According to another aspect of the invention, a computer system is provided for treating myopia in an individual. The system comprises a memory storing instructions and a processor coupled to the memory, the processor receiving, via an interface of the server, data regarding refractive changes during a predetermined period of time prior to the individual from a reference time point, Receiving, via an interface, data representing the age of the individual and data representing the current axial length value of the eye measured at the reference time point, the age of the individual, the current axial length value of the eye measured at the reference time point, and calculating the future axial elongation of the eye in response to the refractive change in the previous predetermined time period; generating an output indication of the calculated axial elongation of the eye via the interface; Executes stored instructions for selecting a myopia-suppressing treatment for the individual.

In a further aspect, a computer program product is provided for performing the operations. The computer program product includes a storage medium readable by processing circuitry and stored instructions that are executed by the processing circuitry to perform the method. The methods are the same as those listed above.

The above and other features and advantages of the present invention will become apparent from the following more detailed description of preferred embodiments of the invention, as illustrated in the accompanying drawings.
1 illustrates a computer-implemented system for estimating future axial elongation of an individual's eye. 4 illustrates a method used to suggest treatment options for myopia based on an estimated future axial elongation of an individual's eye, according to one embodiment. 1 depicts a representative hardware environment for implementing at least one embodiment of the present invention;

By estimating the future axial elongation (change in length) of an individual's eye and using the axial elongation value as an indicator of the progression of an individual's myopia, the present invention measures an individual's refractive error over time. A method and system for tracking progress.

In one embodiment, the computer-implemented system calculates an individual's eye elongation, i.e., the axial elongation of the individual's eye, as the value of the refractive change detected for that individual over a predetermined period of time in the past, i.e., e.g. 1 year), and other parameters, based on the individual's past rate of myopia progression.

According to another exemplary embodiment, the present invention estimates future myopia progression based on predicted axial elongation of an individual's eye, and reduces, slows, or eliminates myopia progression in an individual. , with the aim of providing a therapeutic option for potentially reversing.

FIG. 1 illustrates a computer-implemented system for estimating future axial elongation of an individual's eye and determining myopia-suppressing treatments. In some aspects, system 100 may include a computing device, mobile device, or server. In some aspects, the computing device 100 receives input data, performs data analysis, such as one or more of the method steps described herein, and outputs data to, for example, , personal computer, notebook, tablet, smart device, smartphone, or any other similar computing device. Input data and output data may be stored or saved in at least one database 130 . Input and/or output data may be received by a software application 170 installed on computer 100 [e.g., a computer in an eye care practitioner (ECP) office], by a software application (app) downloadable to smart device 121, or via network 99. can be accessed by a computer-accessible secure website 125 or web link. Input and/or output data may be displayed on a computer or smart device graphic user interface.

In particular, computing system 100 may include one or more hardware processors 152A, 152B, memory 154 for storing, e.g., operating system and application program instructions, network interface 156, display device 158, input device 159, and may include functionality common to any other computing device. In some aspects, computing system 100 is any computing device configured to communicate with website 125 or web or cloud-based server 120, for example, over public or private communication network 99. obtain. In addition, as shown as part of system 100, historical data regarding an individual's refractive changes, including associated myopia-reducing treatments, captured from clinician measurements may be stored in an attached or remote memory storage device, e.g. , is retrieved and recorded in the database 130 .

In the embodiment shown in FIG. 1, processors 152A, 152B may include, for example, microcontrollers, field programmable gate arrays (FPGAs), or any other processor configured to perform various operations. can be done. Processors 152A, 152B may be configured to execute the instructions described below. These instructions may be stored, for example, as programmed modules within memory storage device 154 .

Memory 154 can include, for example, non-transitory computer-readable media in the form of volatile memory such as random access memory (RAM) and/or cache memory or the like. Memory 154 can include, for example, other removable/non-removable, volatile/non-volatile storage media. By way of non-limiting examples only, memory 154 may include portable computer diskettes, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), portable compact discs. Read-only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination thereof.

Network interface 156 is configured to send and receive data or information to and from website server 120, eg, via a wired or wireless connection. For example, network interface 156 may support Bluetooth®, WIFI (eg, 802.11a/b/g/n), cellular networks (eg, CDMA, GSM, M2M, and 3G/4G/4G LTE), short range A wireless communication system, satellite communication, via a local area network (LAN), via a wide area network (WAN), or otherwise that enables computing device 100 to send information to or receive information from server 120 . Wireless technologies and communication protocols may be used, such as any form of communication in

The display 158 may be, for example, a computer monitor, a television, a multifunction television, a display screen incorporated in a personal computing device such as a notebook, a smartphone, a smartwatch, a virtual reality headset, a smart wearable device, or display user information. Any other mechanism for displaying can be mentioned. In some aspects, display 158 may include a liquid crystal display (LCD), electronic paper/electronic ink display, organic LED (OLED) display, or other similar display technology. In some aspects, display 158 may be touch sensitive and may also function as an input device.

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

With respect to the ability of the computer system 100 to calculate changes in axial length of an individual's eye, the system 100 may collect data regarding the current individual's past refractive changes/abnormalities, e.g. It includes a memory 160 configured to store data received from a physician. In one embodiment, this data may be stored in local memory 160 (i.e., native to computer or mobile device system 100) or otherwise retrieved from remote server 120 over a network. good. Data regarding past refractive changes of the current individual may be accessed via a remote network connection for input to locally attached memory storage 160 of system 100 .

In one embodiment, the computing system 100 provides a technology platform using programmed processing modules stored in the device memory 154, which are executed via the processor(s) 152A, 152B to system can be provided with the ability to calculate the length of future axial elongation of an eye based on an input set of historical refractive change data received for that individual.

In one embodiment, the program modules stored in memory 154 describe operating system software 170 and how the various software modules interact, the operations used to perform the calculation of the change in axial length. It may include a software application module 175 for performing the methods herein, which may include associated mechanisms such as APIs (Application Programming Interfaces) for specifying web services used to control, etc. One program module 180 stored in device memory 154 may include a "RECIPY" calculation program 190 that determines a value ("RECIPY") representing the refraction change of the current individual over a period of time in the past, such as one year. good. From this RECIPY index of refraction value for the individual, a further program module 190 stored in device memory 154 is executed by the processor to predict various data and changes in the individual's axial length ("ΔAL") value. It may also include program code that provides processing instructions for the algorithm. Based on the predicted change in the individual's axial length (“ΔAL”) value, a further module 195 is invoked to instruct the clinician, individual, or any user to reduce or prevent refractive changes in the individual, or Treatment option(s) can be recommended, such as a type of contact lens for myopia that can be used to slow down the rate of refraction progression.

FIG. 2 illustrates a method for estimating the future axial elongation of an individual's eye and, according to one embodiment, treatment options for a myopic patient based on the estimated future axial elongation of the individual's eye. 2 shows a computer-implemented method 200 running on the system 100 for suggesting. Individuals may include children between the ages of about 6-14 years. However, the methods herein could also be applied to young children, older adolescents, or young adults.

In one embodiment, the method receives at 205 data representing refraction values measured in the individual over a period of time. For example, the system 100 of FIG. 1 receives data from memory representing refractive changes of an individual over a period of time. In one example, the period of time may be a reference point in time, eg, one or two years or more before today. Additionally, at 210, the system of FIG. 1 receives characteristics about the individual including at least the age of the individual. At 215, system 100 receives a current measurement of the axial length of the eye. If this data is not available, the clinician or ECP may use ultrasound, partial coherence interferometry, optical low coherence reflectometry, swept wavelength optical coherence tomography, or other measurement technique via the system display interface 158. to obtain or be prompted to obtain a current measurement of the axial length of the individual's eye. From the data representing the individual's measured refractive values over a period of time, the system invokes the RECIPY calculation program module 180 to calculate the individual's refractive index value at 220 over a period of time. By converting the rate of change to an annual rate, the system calculates the ametropia change "RECIPY" for the previous year. For example, if refractive error data were known for two years prior to the current date and the change in refraction was -2D, the RECIPY value would be -1D (where D is diopter). Although usually measured in clinical practice as a change in refractive error, future progression is captured as axial elongation. This is because this parameter is a more accurate metric than refractive error in monitoring progression and is most associated with the progression of myopia-related changes such as myopic retinopathy.

Although myopia progression can be characterized by changes in an individual's refractive error, according to this embodiment, myopia progression is characterized by changes in the axial length of the individual's eye. Continuing with step 225 of FIG. 2, the system 100 executes the axial length change calculation program module 190 to predict the change in axial length of the individual's eye. Equation 1) below calculates the axial represents the predicted change in length "ΔAL".
ΔAL = f (RECIPY, age, axial length)
For details,
ΔAL = [a (mm/D) x RECIPY (D)] - b (mm/year) x age (years old)] + [c x axis length (mm)] - d (mm) (1)
where ΔAL is the estimated axial elongation of the eye (e.g., over 12 months after baseline), measured in millimeters, and RECIPY is the ametropia change in the previous year (or if the refractive data specifically Relativized amount if not available in the previous 12 months), measured in diopters D, "Age" is the child's age in years, and "Axial length" in mm at baseline is the measured axial length of the eye. In one embodiment, the coefficient value a=-0.12051+/-. 05162 (mm/D), coefficient value b=0.03954+/-0.00323 (mm/year), coefficient value c=0.036819+/-0.001098, and value d=0.35111+/-0.025809 (mm).

It is understood that in further embodiments, an equivalent form of Equation 1) can be implemented for predicting future axial elongation of the eye as a function of prior refractive change, current axial length, and age of the patient. want to be Such prediction of future refractive changes may receive past axial elongation measurements as input parameters. Such prediction of future refractive changes may also output future predicted ametropia changes. Furthermore, the form of Equation 1) can be biometric data of the patient or of the patient's eye, such as corneal radius, anterior chamber depth, lens thickness, lens power, vitreous cavity depth, or the like, or The amount of time spent engaging in specific activities, including outdoor activities, the level of detailed work activity (e.g., hours spent reading per day, week, or month, or hours spent studying or reading, or spent on digital devices). or the number of myopic parents or siblings, the refractive status of the patient's parents or siblings, the patient's race, ethnicity, gender or geographic location, such as country or degree of urbanization, or any other type of demographic or environmental information deemed relevant to the progression of refraction. Variables may be modified to receive additional input parameters corresponding to other potential predictors of refractive error progression, such as, but not limited to, additional parameters. .

In one embodiment, Equation 1) was generated by a model developed to predict future ΔAL changes in refractive progression according to data from a control group of clinical studies. In the example study, 100 subjects in the control group were followed for 2 years and the system measured cycloplegic autorefraction and Axial length data and subject gender, race and ethnicity data were obtained. The first 12-month data is used as a prior history, and the second 12-month data is the date of the 12-month examination and prediction of progression for the second 12-month period (i.e., the "baseline" time point). and was used as a future progression. Subjects included in this dataset were 8 to 15 years old (mean ± SD = 9.8 ± 1.0 D) with baseline best spherical refraction -0.75D to -5.00D and astigmatism ≤1.00D. 3 years old). Fifty-one percent of the subjects were female and 93% were Asian. Only the subject's right eye was included in the dataset for analysis. The mean (±SD) of "RECIPY" for this data set was −0.64±0.52 D (range: −2.25 to +0.50 D) in refractive change. Axial elongation during the first 12 months was 0.25±0.16 mm (range: −0.18 to 0.65 mm). At the start of Year 2, the mean ± SD of cycloplegic autorefraction equivalent spherical power was -3.35 ± 1.26 D (range: -1.37 to -6.87 D); The mean ± SD of axial length was 24.86 ± 0.87 mm (range: 23.07-26.78 mm).

Available data included RECIPY, refractive error and axial length at baseline, gender, ethnicity, and axial elongation during the second 12-month period. A multivariate analysis was performed to derive equation 1) and relate the variables to give:
ΔAL = [-0.12051 (mm/D) x RECIPY (D)] - [0.03954 (mm/year) x age (years old)] + [0.036819 x axis length (mm)] - 0.35111 (mm).

Statistics of the fit values are shown in Table 1 below, where F and P represent the statistic that determines the statistical significance derived from performing an analysis of variance. Based on the low P-values, RECIPY, age, and axial length are found to be significant predictor values.

In one embodiment, a rapid progresser may be considered to have the above axial extension, eg, 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 progression for those predicted to be rapid progressors is 0.301 mm/year by this criterion, and for those predicted to be slow progressors (0.146 mm/year) It was twice the average progression. When using the cutoff value from the algorithm of 0.23 mm to predict those who will progress beyond 0.20 mm, the sensitivity is 0.79 with a specificity of 0.71. .

Table 2 below shows some selected example axes at year 2 for the given data at the reference time point: age at the reference time point, axis length at the referent time point, and RECIPY value determined. Predictions for directional elongation are shown.

Returning to FIG. 2, a particular type of soft lens or orthokeratology treatment plan may be recommended based on expected future ΔAL changes in refractive progression. In one embodiment, at 230 of FIG. 2, the system 100 determines the preferred refractive index for use as the individual's myopia treatment given the individual's projected myopia progression based on the projected ΔAL change over the next year. An optical element such as a soft contact lens with a design can be determined. In one embodiment, treatment options may include multifocal contact lenses with positive spherical aberration and increasing diopter power away from the center of the lens, which provide a certain amount of peripheral "blur". The eye is not exposed to light in the known manner for producing and inhibiting eye stretching. In other embodiments, eye drop therapy or other pharmaceutical treatment administered to an individual may be suitable for reducing the progression of myopia, or therapy spent in the field slows or delays the progression of myopia. It may be determined that it may be determined to prevent. Any currently or future available treatment options that may reduce, slow, eliminate, or even reverse the progression of myopia in an individual may be determined at 230 . At 235 in FIG. 2, the system displays recommendations for the clinician via the system display interface 158, whether locally connected to the system or for communication to a remote computer over a network. It can be generated automatically.

In one embodiment, the display can be a graphic user interface of a computer or smart device (eg, tablet computer, smart phone, personal digital assistant, wearable digital device, game console, TV). In certain embodiments, the display may be synchronized on the eye care provider's computer or smart device and on the user's computer or smart device.

Rapid Progressor Prediction In one embodiment, the system 100 may further identify myopic individuals who are prone to rapid progress. Detection of such myopes can be useful in targeting treatment regimens and in designing myopia control clinical studies. As it has been shown that a history of rapid progression is a factor of similar or better predictive value than age, a well-known risk factor, in assessing the likelihood of future rapid progression. The algorithm of Equation 1), which includes past refraction progression (RECIPY), can be used to predict future rapid progression.

In a further example, the system 100 was obtained in 100 children aged 8-15 with myopia of -0.75 to -5.00 D over a period of time including baseline, 1 year, and 2 years ( Cycloplegic dynamic refraction (CAR) data (obtained, for example, by partial interferometry) and axial length data were received. A multivariate regression analysis was performed on the right eye and the second-year axial elongation was multiplied by the previous year's refractive error change (RECIPY), age, gender, ethnicity, 1-year axial length and 1-year refractive error. Fit for variable analysis. Axial elongation was chosen as the dependent variable because of its good sensitivity in discriminating progression, whereas past refractive change was used as the predictor variable.

Example p-value analysis results for RECIPY, age, 1-year axial length factors were RECIPY (p<0.0001), age (p<0.001), 1-year axial length (p<0.05 ) and RECIPY ^* age interaction (p<0.05), indicating that all these factors contributed significantly in predicting axial elongation at 1-2 years. Gender, ethnicity, and 1-year refractive error did not contribute significantly to predicting axial elongation. The model fit accounted for 57% of the variance in year 2 axial elongation. Using the 0.2 mm criterion, the model has a sensitivity of 0.87 and a specificity of 0.58 in predicting rapid progressor. People classified as rapid progressors (0.301 mm/year) by this criteria had twice the mean progression of those predicted to be slow progressors (0.146 mm/year). .

Calculation of ΔAL according to equation 1) therefore provides a good prediction of future axial elongation. This information is useful in guiding myopia-suppressing treatments and in designing clinical studies.

Applicant's co-pending U.S. patent application Ser. detailing systems and methods for predicting and tracking refractive error progression in an individual. The described systems and methods allow the ECP to assess over time to optimally determine the course of treatment for myopia and whether the course of treatment applied to the individual was/probably effective. applied for. ECPs, parents, and patients are thus provided with a better understanding of the potential long-term benefits of a particular myopia-suppressing treatment.

Based on systems, methods, and computer program products, the present invention provides myopia-reducing treatments and treatments for children based on ECP-calculated future axial elongation of the eye and resulting expected progression of myopia. /or may assist in selecting the type of ophthalmic lens.

The methods, systems described in co-pending U.S. patent application Ser. to understand the long-term benefits of myopia-suppressing treatments. The principles described in co-pending U.S. patent application Ser. No. 15/007,660 track myopia-suppressing therapy to slow the progression of myopia based on the determination of the predicted axial elongation value according to Equation 1). can be applied to

Thus, a tracking method and system for estimating the potential axial elongation of an individual's eye relative to a reference population over a future period of time would include: 1) ECP predicts and tracks the progression of axial elongation (and thus refraction) and , to allow the efficacy of treatments to be demonstrated and tracked to slow the progression of myopia, and/or 2) to enable patients or parents to understand the long-term benefits of myopia-suppressing treatments.

Although the principles described herein are directed to myopia, the invention is not so limited and could be applied to other refractive errors such as hyperopia or astigmatism.

Aspects of the invention can be implemented as a system, method, or computer program product, as will be appreciated by one of ordinary skill in the art based on this disclosure. Accordingly, aspects of the present invention may be implemented as either an entirely hardware embodiment, a processor operating in a software embodiment (firmware, resident software, microcode, etc.), or as generally referred to herein as a "circuit," "module," or " It may take an embodiment that combines software and hardware, which may be referred to as a "system". Furthermore, aspects of the present invention may take the form of a computer program product embodied in one or more computer-readable media having computer-readable program code embodied therein.

Any combination of one or more computer readable media may be utilized. This 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, without limitation, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, instrument, or device, or any suitable combination of the foregoing. More specific examples (an inclusive list) of computer readable storage media include: electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), reads memory only (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory (CD-ROM), optical storage, magnetic storage, or any suitable of the above A combination would be included. In the context of the present disclosure, a computer-readable medium may contain or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Computer program code for carrying out operations for aspects of the present invention may be written in one or more programming languages including object oriented programming languages such as Java, Smalltalk, C++, C#, Transact-SQL, XML, PHP, etc. language and any combination of conventional procedural programming languages, such as the "C" programming language or similar programming languages. Program code may be distributed entirely on the user's computer, partly on the user's computer as a separate software package, partly on the user's computer, partly on a remote computer, or entirely on the remote computer. or run on a server. In the latter scenario, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or wide area network (WAN), or (e.g., using an Internet service provider). may be connected to an external computer) via the Internet.

Computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing device such that the instructions are executed by the processor of the computer or other programmable data processing device to perform specified functions/acts. A means to implement may be generated.

These computer program instructions also direct a computer, other programmable data processing appliance, or other device to function in a particular manner such that the instructions stored on the computer-readable medium perform the specified function/function. It may be stored on a computer readable medium to enable production of a manufacturer's product containing instructions for performing operations.

These computer program instructions are loaded onto a computer, other programmable data processing equipment, or other device to perform a sequence of operational steps on that computer, other programmable equipment, or other device. and generate a computer-implemented process such that instructions executed on the computer or other programmable device result in the process performing the defined functions/acts.

Referring now to Figure 3, a representative hardware environment for implementing at least one embodiment of the present invention is shown. This schematic diagram illustrates the 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 central processing unit (CPU) 10 . CPU 10 is interconnected with system bus 12 to random access memory (RAM) 14 , read only memory (ROM) 16 , and input/output (I/O) adapter 18 . I/O adapter 18 may be connected to peripherals such as disk units 11 and tape drives 13, or other program storage devices readable by the system. The system can read instructions according to the invention on the program storage device and follow those instructions to perform at least one methodology of the invention. The system also includes a user interface adapter 19 that connects other user interface devices such as keyboard 15, mouse 17, speakers 24, microphone 22, and/or touch screen devices (not shown) to bus 12 to collect user input. contains. In addition, communications adapter 20 connects bus 12 to data processing network 25, and display adapter 21 connects bus 12 to display device 23, which may be embodied as an output device such as a monitor, printer, or transmitter, for example.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting. As used herein, the singular forms "a," "an," and "the" shall also include the plural forms unless the context clearly dictates otherwise. The basic terms "comprising" and/or "having," as used herein, identify the presence of the stated features, entities, steps, acts, elements, and/or components, It should not be understood to exclude the presence of one or more other features, integers, steps, acts, elements, components and/or groups thereof.

As used herein, "communicate" can be either indirectly through one or more additional components (or via a network) or directly between two components that are said to communicate. includes physical or wireless connections.

While the embodiments shown and described herein are believed to be the most practical and preferred embodiments, variations from the specific designs and methods shown and disclosed herein will per se be obvious to those skilled in the art. and can be used without departing from the spirit and scope of the invention. The invention is not limited to the particular constructions described and illustrated, but should be constructed consistent with all modifications that may come within the scope of the appended claims.

[Mode of implementation]
(1) A computer-implemented method for treating myopia in an individual comprising:
receiving, via an interface with a computer, data regarding refractive changes from the individual's reference point in a previous predetermined period of time;
receiving, via the interface, data representing the individual's age and data representing a current axial length value of the eye measured at the reference time point;
determining by the processor a future axial elongation of the eye according to the age of the individual, the current axial length value of the eye measured at the reference time, and the refractive change over the previous predetermined period of time; to predict and
generating, via the interface, an output indication of the predicted future axial elongation of the eye;
selecting a myopia-reducing treatment for the individual using the output instructions.
(2) receiving data regarding the individual's past refractive changes;
calculating a progression rate of refraction change for the individual from the historical refraction change data;
2. The computer-implemented method of embodiment 1, further comprising annualizing the calculated rate of change to obtain the refractive change for the past year.
Aspect 3. The computer-implemented method of Aspect 1, wherein the myopia-suppressing treatment comprises myopia-suppressing ophthalmic lenses, orthokeratology, or a pharmaceutical treatment regimen.
4. The computer-implemented method of embodiment 1, wherein the myopia-reducing ophthalmic lens comprises a myopia-reducing contact lens.
(5) comparing, by the processor, the calculated future axial elongation of the eye to a predetermined threshold;
2. The computer-implemented method of embodiment 1, further comprising: the processor identifying a rapid progresser individual when the calculated axial elongation of the eye is greater than the predetermined threshold.

(6) The computer-implemented method of embodiment 5, wherein the predetermined threshold is approximately 0.301 mm/year.
(7) the calculated axial elongation of the eye is a value ΔAL, and the method comprises:
ΔAL=a×RECIPY(D)−b×age+c×axial length−d
where a, b, and c are the corresponding coefficients, d is a constant value in mm, and RECIPY represents said refractive change in diopters (D) 3. The computer-implemented method of embodiment 2, wherein , age represents the age of the individual in years, and axial length is in mm.
(8) a=−0.12051+/-. 05162 (mm/D), coefficient value b=0.03954+/-0.00323 (mm/year), coefficient value c=0.036819+/-0.001098, and value d=0.35111 (mm)+/- 8. The computer-implemented method of embodiment 7, wherein -0.025809.
(9) A computer system for treating myopia in an individual, comprising:
a memory for storing instructions;
a processor coupled to the memory, comprising:
receiving, via an interface at the server, data regarding refraction changes from the individual's reference point in a previous predetermined time period;
receiving, via the interface, data representing the age of the individual and data representing a current axial length value of the eye measured at the reference time point;
predicting future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye measured at the reference time, and the refractive change over the previous predetermined time period;
generating, via the interface, an output indication of the predicted future axial elongation of the eye;
and a processor that executes the stored instructions to select a myopia-reducing treatment for the individual using the output instructions.
(10) the stored instructions are
receiving data regarding the individual's past refractive changes;
calculating a progression rate of refraction change for the individual from the historical refraction change data;
10. The computer system of embodiment 9, wherein the processor is further configured to annualize the calculated rate of change to obtain the refractive change for the past year.

11. Aspect 9, wherein the myopia-reducing treatment comprises one or more of a myopia-reducing ophthalmic lens, a myopia-reducing contact lens, and a soft contact lens, orthokeratology, or a pharmaceutical treatment regimen. computer system.
(12) the processor,
comparing the calculated axial elongation of the eye to a predetermined threshold;
identifying individuals who are rapid progressors when the calculated axial elongation of the eye is greater than the predetermined threshold;
10. The computer system of embodiment 9, executing further instructions for selecting a myopia-suppressing treatment for the rapid progressor.
(13) the calculated axial elongation of the eye is a value ΔAL, and the processor comprises:
The following formula:
ΔAL=a×RECIPY(D)−b×age+c×axial length−d
, where a, b, and c are the corresponding coefficients, d is a constant value in mm, and RECIPY is the refractive change in diopters. 10. The computer system of embodiment 9, wherein age represents the age of the individual in years and axial length is in mm.
(14) a=−0.12051+/-. 05162 (mm/D), coefficient value b=0.03954+/-0.00323 (mm/year), coefficient value c=0.036819+/-0.001098, and value d=0.35111 (mm)+/- 14. The computer system of embodiment 13, wherein 0.025809.
(15) A computer program product for treating myopia in an individual, comprising a non-transitory computer readable storage medium embodying program instructions, the program instructions comprising:
receiving, via an interface with a computer, data regarding refractive changes from the individual's reference point in a previous predetermined period of time;
receiving, via the interface, data representing the individual's age and data representing a current axial length value of the eye measured at the reference time point;
Predicting by a processor future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye measured at the reference time, and the refractive change over the previous predetermined period of time. and
generating, via the interface, an output indication of the predicted future axial elongation of the eye;
using the output instructions to select a myopia-reducing therapy for the individual.

(16) the program instructions are
receiving data regarding the individual's past refractive changes;
calculating a progression rate of refraction change for the individual from the historical refraction change data;
16. The computer program product of embodiment 15, further configuring the processor to perform: annualizing the calculated rate of change to obtain the refractive change for the past year.
17. The computer program product of embodiment 15, wherein the myopia-reducing treatment comprises myopia-reducing ophthalmic lenses, orthokeratology, or a pharmaceutical treatment regimen.
18. The computer program product of embodiment 15, wherein the myopia-reducing ophthalmic lens comprises a myopia-reducing contact lens.
(19) the calculated axial elongation of the eye is a value ΔAL, and the method comprises:
ΔAL=a×RECIPY(D)−b×age+c×axial length−d
where a, b, and c are the corresponding coefficients, d is a constant value in mm, RECIPY represents said refractive change in diopters, and age is 16. The computer program product of embodiment 15, wherein , represents the age of the individual in years and the axial length is in mm.
(20) a=−0.12051+/-. 05162 (mm/D), coefficient value b=0.03954+/-0.00323 (mm/year), coefficient value c=0.036819+/-0.001098, and value d=0.35111 (mm)+/- 20. The computer program product according to embodiment 19, which is -0.025809.

Claims (20)

A method of operating a system comprising a processor , comprising:
the processor receiving, via an interface, data regarding refractive changes from the individual's reference point in a previous predetermined period;
the processor receiving, via the interface, data representing the individual's age and data representing a current axial length value of the eye measured at the reference time point;
The processor determines a future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye measured at the reference time, and the refractive change over the previous predetermined period of time. is predicted by the processor;
the processor generating, via the interface, an output indication of the predicted future axial elongation of the eye;
the processor using the output instructions to select a myopia-suppressing treatment plan for the individual. the processor receiving data regarding the individual's past refractive changes;
the processor calculating a progression rate of refractive change for the individual from the historical refractive change data;
2. The method of claim 1, further comprising: converting the calculated rate of change to an annual rate to obtain the refractive change for the past year. 2. The method of claim 1, wherein the myopia-suppressing treatment regimen comprises a myopia-suppressing ophthalmic lens, orthokeratology, or pharmaceutical treatment regimen. 4. The method of claim 3 , wherein the myopia-reducing ophthalmic lens comprises a myopia-reducing contact lens. the processor comparing the calculated future axial elongation of the eye to a predetermined threshold;
2. The method of claim 1, further comprising: identifying a rapid progresser individual when the calculated axial elongation of the eye is greater than the predetermined threshold. 6. The method of claim 5, wherein the predetermined threshold is approximately 0.301 mm/year. The calculated axial elongation of the eye is a value ΔAL, and the method comprises:
ΔAL=a×RECIPY(D)−b×age+c×axial length−d
where a, b, and c are the corresponding coefficients, d is a constant value in mm, and RECIPY represents said refractive change in diopters (D) 3. The method of claim 2, wherein , age represents the age of the individual in years and the axial length is in mm. a=−0.12051+/-. 05162 (mm/D), coefficient value b=0.03954+/-0.00323 (mm/year), coefficient value c=0.036819+/-0.001098, and value d=0.35111 (mm)+/- 8. The method of claim 7, wherein -0.025809. A computer system for treating myopia in an individual, comprising:
a memory for storing instructions;
a processor coupled to the memory, comprising:
receiving, via an interface at a server , data relating to refraction change from the individual's reference time point for a previous predetermined time period;
receiving, via the interface, data representing the age of the individual and data representing the current axial length value of the eye measured at the reference time point;
predicting future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye measured at the reference time, and the refractive change over the previous predetermined time period;
generating, via the interface, an output indication of the predicted future axial elongation of the eye;
and a processor that executes the stored instructions to select a myopia-reducing treatment for the individual using the output instructions. The stored instructions are
receiving data regarding the individual's past refractive changes;
calculating a progression rate of refraction change for the individual from the historical refraction change data;
10. The computer system of claim 9, wherein the processor is further configured to annualize the calculated rate of change to obtain the refractive change for the past year. 10. The computer system of claim 9, wherein the myopia-reducing treatment comprises one or more of myopia-reducing ophthalmic lenses, myopia-reducing contact lenses, and soft contact lenses, orthokeratology, or pharmaceutical treatment regimens. . the processor
comparing the calculated axial elongation of the eye to a predetermined threshold;
identifying individuals who are rapid progressors when the calculated axial elongation of the eye is greater than the predetermined threshold;
10. The computer system of claim 9, executing further instructions for selecting a myopia-suppressing treatment for the rapid progressor. wherein the calculated axial elongation of the eye is a value ΔAL, and wherein the processor
The following formula:
ΔAL=a×RECIPY(D)−b×age+c×axial length−d
, where a, b, and c are the corresponding coefficients, d is a constant value in mm, and RECIPY is the refractive change in diopters. 10. The computer system of claim 9, wherein age represents the age of the individual in years and axial length is in mm. a=−0.12051+/-. 05162 (mm/D), coefficient value b=0.03954+/-0.00323 (mm/year), coefficient value c=0.036819+/-0.001098, and value d=0.35111 (mm)+/- 14. The computer system of claim 13, wherein -0.025809. A computer program for treating myopia in an individual , said program comprising:
receiving, via an interface with a computer, data regarding refractive changes from the individual's reference point in a previous predetermined period of time;
receiving, via the interface, data representing the individual's age and data representing a current axial length value of the eye measured at the reference time point;
predicting, by a processor, the future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye measured at the reference time, and the refractive change over the previous predetermined period of time; and
generating, via the interface, an output indication of the predicted future axial elongation of the eye;
using said output instructions to select a myopia-reducing therapy for said individual . The program
receiving data regarding the individual's past refractive changes;
calculating a progression rate of refraction change for the individual from the historical refraction change data;
16. The computer program of claim 15, further configuring the processor to: annualize the calculated rate of change to obtain the refractive change for the past year. 16. The computer program product of claim 15, wherein the myopia-suppressing treatment comprises myopia-suppressing ophthalmic lenses, orthokeratology, or a pharmaceutical treatment regimen. 18. The computer program product of claim 17 , wherein the myopia-reducing ophthalmic lens comprises a myopia-reducing contact lens. The calculated axial elongation of the eye is a value ΔAL, and the method comprises:
ΔAL=a×RECIPY(D)−b×age+c×axial length−d
where a, b, and c are the corresponding coefficients, d is a constant value in mm, RECIPY represents said refractive change in diopters, and age is , the age of the individual in years, and the axial length is in mm . a=−0.12051+/-. 05162 (mm/D), coefficient value b=0.03954+/-0.00323 (mm/year), coefficient value c=0.036819+/-0.001098, and value d=0.35111 (mm)+/- 20. A computer program as claimed in claim 19, which is -0.025809.

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