CN110211686B - High myopia cataract intraocular lens accurate selection system - Google Patents

High myopia cataract intraocular lens accurate selection system Download PDF

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CN110211686B
CN110211686B CN201910502354.9A CN201910502354A CN110211686B CN 110211686 B CN110211686 B CN 110211686B CN 201910502354 A CN201910502354 A CN 201910502354A CN 110211686 B CN110211686 B CN 110211686B
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intraocular lens
patient
diopter
cataract
high myopia
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CN110211686A (en
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竺向佳
何雯雯
卢奕
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Eye and ENT Hospital of Fudan University
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/0016—Operational features thereof
    • A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention relates to a precise selection system for a high myopia cataract intraocular lens, which is characterized by comprising the following components: and a data module: constructing a successful high myopia cataract intraocular lens degree calculation model; and an evaluation module: determining a target diopter of the patient; and a matching module: determining the most suitable intraocular lens type; and a selection module: the required intraocular lens power is calculated quickly and accurately. The advantages are as follows: improving the accuracy of intraocular lens selection; improving the accuracy of intraocular lens selection; improving the selection efficiency of the artificial lens for cataract surgery; the requirements of the patient are met, the most suitable target diopter is selected according to the time distribution of different eye use distances in the daily life of the patient, and the daily life requirements of the patient are met; meets the selection requirement of the personalized artificial lens; the service objects are wide, and the social value is high.

Description

High myopia cataract intraocular lens accurate selection system
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a precise selection system of a high myopia cataract intraocular lens.
Background
With the development of cataract surgery technology, cataract surgery has been changed from refractive surgery to refractive surgery, and the requirements of patients on the surgical effect are not only improvement of postoperative vision, but also requirements on postoperative visual quality, glasses removal and the like. Various intraocular lenses and calculation formulas in the market at present achieve better effects in emmetropic patients, the ratio of postoperative diopter errors predicted by the formulas can reach 90% or more in the range of +/-0.5D, and for high myopia cataract patients, due to the fact that the eye axis is prolonged, posterior scleral grape swelling and various fundus lesions exist, the accuracy of biological measurement is poor, the adaptability of the existing intraocular lens calculation formulas is poor, the postoperative refractive errors are obviously higher than that of normal eye axis patients, remarkable hyperopic drift is often caused, the postoperative near vision and life quality of the patients are reduced, the patients can not adapt to or are unbalanced in eyes, and the accuracy of surgical treatment and the satisfaction of the patients are finally affected. In addition, the pre-operative diopter selection of the patients with high myopia and cataract is mainly based on clinical experience of doctors, the past living habit of the patients is occasionally referred to, but no unified standard exists, and the post-operative living needs of the patients can not be met, so that a measuring means or a detecting system is urgently needed to determine the post-operative target diopter according to the pre-operative living habit of the patients with high myopia and cataract, and a proper intraocular lens type is selected according to the biological measurement result of eyeballs of the patients.
Chinese patent literature: CN201580038207.0, filing date 2015.07.15, patent name: methods and apparatus for selecting an intraocular lens and computer program products. An intraocular lens selection method is disclosed in which at least one predetermined subjective parameter related to visual effects is presented to a user for decision making and is used to determine primary IOL parameters along with biometric parameters of the eye and with parameters characterizing the vision aids heretofore used by the user. Next, a first subset is preselected from all IOLs in accordance with the primary IOL parameters. In carrying out the method, a data processing device is used. An apparatus and a computer program product for carrying out the method are also disclosed.
A method and apparatus for selecting an intraocular lens and computer program product of the above patent documents uses predetermined subjective parameters relating to visual effects to be presented to a user for decision making while determining primary IOL parameters and preselecting a first subset from all IOLs in accordance with the IOL parameters. In carrying out the method, a data processing device is used. But the problem that the prediction error of the diopter is overlarge after the operation of the present high-grade metal cataract is solved, the blank of the selection of the high-grade myopia cataract intraocular lens is made up, and meanwhile, a high-grade myopia cataract intraocular lens accurate selection system established based on artificial intelligence deep learning has no relevant report at present.
In view of the foregoing, there is a need for an artificial lens precise selection system for high myopia and cataract, which can solve the difficulty of excessive prediction error of diopter after high metal cataract surgery, make up for the blank of artificial lens selection for high myopia and cataract based on artificial intelligence deep learning.
Disclosure of Invention
The invention aims at overcoming the defects in the prior art, and provides a precise selection system for the high-myopia cataract intraocular lens, which can solve the problem that the prediction error of the diopter is overlarge after the high-metal cataract operation at present, makes up the blank of the selection of the high-myopia cataract intraocular lens, and is established based on the deep learning of artificial intelligence.
It is another object of the present invention to provide a method of establishing a highly myopic cataractous intraocular lens precise selection system.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a high myopia cataract intraocular lens precise selection system, wherein the selection system comprises:
and a data module: the method is used for providing clinical data with large data quantity and corresponding postoperative diopter for a machine to learn, the machine constructs a degree calculation model based on different intraocular lens types through a convolutional neural network, repeatedly trains and debugs a training set large sample, and finally constructs a successful high myopia cataract intraocular lens degree calculation model according to the prediction accuracy requirement through testing set test;
and an evaluation module: the method comprises the steps of collecting the eye distance time of a week of daily life of a patient with high myopia and cataract, evaluating the most frequently needed eye distance of the patient, and determining the target diopter of the patient by combining the previous spectacle lenses worn by the patient;
and a matching module: the system is used for determining the most suitable intraocular lens type according to the biological measurement characteristics of the eyeballs of the patients and matching with the existing intraocular lens parameters in the system database;
and a selection module: for rapid and accurate calculation of the required IOL power based on the determined target diopter and IOL type in combination with a machine-built-in high myopia cataract IOL power calculation model.
As a preferred technical solution, each piece of data in the data module includes age, sex, refractive surgery condition, vitreous status, preoperative diopter, length of eye axis, anterior chamber depth, lens thickness, white-to-white distance, cornea curvature radius, implanted intraocular lens type, degree and postoperative diopter of the patient.
As a preferable technical scheme, the eye distance time collected in the evaluation module is such as reading, reading newspaper, watching mobile phone, computer, television and outdoor activity time.
As a preferred embodiment, the biometric features in the matching module include an eye axis length, anterior chamber depth, lens thickness, white-to-white distance, and radius of curvature of the cornea.
As a preferable technical scheme, the establishment method of the high myopia cataract intraocular lens precise selection system comprises the following steps:
s1, constructing a deep learning model for calculating the degree of the high myopia cataract intraocular lens; providing clinical data with large data amount and corresponding postoperative diopter for a machine to learn, wherein each piece of data comprises age, sex and refractive operation state of a patient, vitreous state, preoperative diopter, eye axis length, anterior chamber depth and lens thickness, white-to-white distance, cornea curvature radius, implanted intraocular lens type, diopter and postoperative diopter, constructing a degree calculation model based on different intraocular lens types by the machine through a convolutional neural network, repeatedly training and debugging through a training set large sample, and finally constructing a successful high myopia cataract intraocular lens degree calculation model by testing and testing a test set to meet the prediction accuracy requirement;
s2, collecting the eye distance time of a week of daily life of a patient with high myopia and cataract, such as reading, reading newspaper, watching mobile phone, computer, television, outdoor activities and the like, evaluating the most frequently needed eye distance of the patient, and determining the target diopter of the patient by combining the previous spectacle lenses worn by the patient;
s3, according to biological measurement characteristics of eyeballs of a patient, including the length of an eye axis, the depth of an anterior chamber, the thickness of a lens, the white-to-white distance and the radius of curvature of a cornea, the biological measurement characteristics are matched with the parameters of the existing intraocular lens in a system database, and the most suitable intraocular lens type is determined;
s4, according to the determined target diopter and the type of the intraocular lens, combining a high myopia cataract intraocular lens degree calculation model of the machine, and rapidly and accurately calculating the required intraocular lens degree.
The invention has the advantages that:
1. improving the accuracy of intraocular lens selection: the artificial intelligent accurate selection system is based on big data training study, covers a large number of preoperative clinical data of high myopia cataract patients, intraocular lens selection and corresponding postoperative diopter numbers, achieves high accuracy through repeated testing and parameter adjustment, and solves the problem that the existing high myopia cataract postoperative diopter prediction error is large.
2. Improving the accuracy of intraocular lens selection: the artificial intelligent accurate selection system is based on big data training study, covers a large number of preoperative clinical data of high myopia cataract patients, intraocular lens selection and corresponding postoperative diopter numbers, achieves high accuracy through repeated testing and parameter adjustment, and solves the problem that the existing high myopia cataract postoperative diopter prediction error is large.
3. Improving the selection efficiency of the artificial lens for cataract surgery: the system can complete the selection of the intraocular lens within a few seconds, greatly improves diagnosis and treatment efficiency and saves medical resources.
4. The requirements of the patient are met, the most proper target diopter is selected through the time distribution of different eye use distances in the daily life of the patient, and the daily life requirements of the patient are met.
5. Meets the selection requirement of the personalized artificial lens: the system can individually select the type of the intraocular lens which is most suitable for the eyeball size of the patient according to the eyeball biological characteristics of the patient.
6. The service objects are wide, and the social value is high: the system is suitable for the ophthalmic lens degree selection of ophthalmic doctors in community hospitals, non-specialty hospitals and specialty hospitals on high myopia cataract, can make up the diagnosis and treatment level gap of medical institutions, is beneficial to improvement of social fairness and medical environment, and is beneficial to patients.
7. The system can self-optimize: the system calculation model can be continuously optimized by providing more clinical data along with the increase of clinical use, and the accuracy is improved.
Drawings
FIG. 1 is a flow chart of the creation and application of a high myopia cataract intraocular lens precise selection system of the present invention.
Fig. 2 is a block diagram of a high myopia cataract intraocular lens precise selection system according to the present invention.
Figures 3-6 illustrate an operator interface of a high myopia cataract intraocular lens precise selection system of the present invention.
Detailed Description
The following detailed description of the invention provides specific embodiments with reference to the accompanying drawings.
Reference numerals and components referred to in the drawings are as follows:
1. data module 2. Evaluation module
3. Matching module 4. Selection module
Example 1
The process for establishing the precise selection system of the high myopia cataract intraocular lens is shown in figure 1, and specifically comprises the following steps:
1. constructing a deep learning model for calculating the degree of the high myopia cataract intraocular lens; providing clinical data with large data amount and corresponding postoperative diopter for a machine to learn, wherein each piece of data comprises age, sex and refractive operation state of a patient, vitreous state, preoperative diopter, eye axis length, anterior chamber depth and lens thickness, white-to-white distance, cornea curvature radius, implanted intraocular lens type, diopter and postoperative diopter, constructing a degree calculation model based on different intraocular lens types by the machine through a convolutional neural network, repeatedly training and debugging through a training set large sample, and finally constructing a successful high myopia cataract intraocular lens degree calculation model by testing and testing a test set to meet the prediction accuracy requirement;
2. collecting the eye distance time of a week of daily life of a patient with high myopia and cataract, such as reading, reading newspaper, watching mobile phone, computer, television, outdoor activities and the like, evaluating the eye distance most frequently needed by the patient, and determining the target diopter of the patient by combining the previous spectacle number of the patient;
3. according to the biological measurement characteristics of the eyeball of a patient, including the length of an eye axis, the depth of an anterior chamber, the thickness of a lens, the white-to-white distance and the radius of curvature of a cornea, the biological measurement characteristics are matched with the parameters of the existing intraocular lens in a system database, and the most suitable intraocular lens type is determined;
4. according to the determined target diopter and the type of the intraocular lens, the required intraocular lens degree is calculated quickly and accurately by combining a high myopia cataract intraocular lens degree calculation model of the machine.
The structural block diagram of the high myopia cataract intraocular lens precise selection system of the present invention is shown in fig. 4; the precise selection system of the high myopia cataract intraocular lens comprises a data module 1, an evaluation module 2, a matching module 3 and a selection module 4;
data module 1: providing a machine with clinical data of a large data volume and corresponding post-operative diopter for its study, each piece of data including the age, sex, refractive surgical status of the patient, vitreous status, pre-operative diopter, length of the eye axis, anterior chamber depth, lens thickness, white-to-white distance, radius of cornea curvature, type of intraocular lens implanted, degree and post-operative diopter;
evaluation module 2: the method comprises the steps of collecting eye distance time of a week of daily life of a patient with high myopia and cataract, such as reading, reading newspaper, watching mobile phone, computer, television, outdoor activities and the like, evaluating the most frequently needed eye distance of the patient, and determining the target diopter of the patient by combining the previous spectacle lenses worn by the patient;
matching module 3: the method is used for determining the most suitable type of the intraocular lens according to the biological measurement characteristics of the eyeball of the patient, including the length of the eye axis, the depth of the anterior chamber, the thickness of the lens, the white-to-white distance and the radius of curvature of the cornea, and matching with the parameters of the existing intraocular lens in a system database;
selection module 4: for rapid and accurate calculation of the required IOL power based on the determined target diopter and IOL type in combination with a machine-built-in high myopia cataract IOL power calculation model.
Figures 3-6 illustrate the operation interface of the high myopia cataract intraocular lens precise selection system of the present invention. The home page is a login interface and comprises a user name, a password and a use instruction. The input interface is a registration interface, and the input interface is divided into 2 columns according to the eye categories, namely a serial number, a name, a gender, a short-distance eye time of one week on the birth date, a middle-distance eye time and a long-distance eye time, and the input interface is used for inputting a refractive operation state, a vitreous body state, a preoperative diopter, an eye axis length, an anterior chamber depth, a lens thickness, a white-to-white distance, a cornea refractive power K1 and a cornea refractive power K2. After several seconds of operation, the output interface will display the target diopter, intraocular lens type, intraocular lens power and display the diagnosis, risk assessment (high risk, medium risk, low risk). The clinical data of the patient, the diagnosis and risk assessment results output by the system are included in a record interface, the clinical data of the patient can be searched (shown in figure 4), the selection results output by the system are included in the record interface, the type, the degree and the postoperative diopter of the intraocular lens actually used by the patient can be input in the record interface, and the optimization is clicked, so that the calculation model of the degree of the intraocular lens of the system can be continuously optimized, and the accuracy is improved.
The operation interface of the high myopia cataract intraocular lens accurate selection system is simple, convenient and attractive, and is easy to operate; the operation interface can also change various languages and appearances, such as Chinese and English for selection, system fonts, colors, shapes and the like, and can optimize the system model according to new clinical data.
Example 2
Men, 58 years old, have blurred vision for the right eye for 1 year, wear-10.0D glasses, see the doctor in our hospital, confirm that the doctor is a concurrent cataract of the right eye, deny the eye operation history. Ophthalmic examination showed a right eye axis length of 27.82mm, a corneal refractive power k1=41.83D, k2= 42.44D, an anterior chamber depth of 2.78mm, a white-to-white distance of 11.70mm, and a lens thickness of 3.25mm. The patient likes to read books at ordinary times, the short-distance eye time accounts for 60% of the daily life, after information is input into the accurate selection system of the high myopia cataract intraocular lens, the system judges that the reserved diopter of the patient after operation is-3.5D, and the system is suitable for implanting ZCB0015.5D intraocular lens. The patient checks that the naked eye far vision of the right eye is 0.3, the naked eye near vision is J1, the equivalent sphere power is-3.75D, the optimal corrected vision is 0.8 in 1 day after operation, and the patient is satisfied.
Example 3
Female, 75 years old, the left eye vision is blurred for 10 years, and the patient is not matched with a mirror, and is in medical treatment in our hospital, so that the patient is diagnosed with the complicated cataract of the left eye vision, and the history of eye surgery is denied. Ophthalmic examination showed a left eye axis length of 31.32mm, a corneal refractive power k1=41.44D, k2= 41.86D, an anterior chamber depth of 3.46mm, a white-to-white distance of 12.95mm, and a lens thickness of 3.46mm. The patient is a peasant in the past, the television watching time at home is more, and the near-distance eye use requirement is basically avoided. After information is input into the precise selection system of the cataract intraocular lens with high myopia, the system judges that the reserved diopter of the patient after operation is-1.0D, and the system is suitable for implanting the HumanOptics MC X11ASP 3.0D intraocular lens. The patient checks that the naked eye far vision of the right eye is 0.5, the naked eye near vision is J5, the equivalent sphere power is-0.75D, the optimal corrected vision is 0.7 in 1 day after operation, and the patient is satisfied.
Example 4
Women, 67 years old, have blurred vision of the left eye for 2-3 years, wear-7.0D glasses in the past, visit the hospital, confirm that the diagnosis is complicated cataract of the left eye high myopia, deny the eye operation history. Ophthalmic examination showed a left eye axis length of 26.15mm, a cornea refractive power k1=39.08D, k2= 40.89D, an anterior chamber depth of 2.87mm, a white-to-white distance of 12.5mm, and a lens thickness of 5.06mm. The patient retires, and at ordinary times, the user watches television and mobile phone at home, the short-distance eye time is about 40%, after information is input into the accurate selection system of the high myopia cataract intraocular lens, the system judges that the reserved diopter of the patient after operation is-2.5D, and the system is suitable for implanting ZCB0021D intraocular lens. The patient checks that the naked eye far vision of the right eye is 0.25, the naked eye near vision is J2, the equivalent sphere power is-2.75D, the optimal corrected vision is 0.7 in 1 day after operation, and the patient is satisfied.
Once the invention is put into application, the following technical effects can be achieved:
1. improving the accuracy of intraocular lens selection: the artificial intelligent accurate selection system is based on big data training study, covers a large number of preoperative clinical data of high myopia cataract patients, intraocular lens selection and corresponding postoperative diopter numbers, achieves high accuracy through repeated testing and parameter adjustment, and solves the problem that the existing high myopia cataract postoperative diopter prediction error is large.
2. Improving the accuracy of intraocular lens selection: the artificial intelligent accurate selection system is based on big data training study, covers a large number of preoperative clinical data of high myopia cataract patients, intraocular lens selection and corresponding postoperative diopter numbers, achieves high accuracy through repeated testing and parameter adjustment, and solves the problem that the existing high myopia cataract postoperative diopter prediction error is large.
3. Improving the selection efficiency of the artificial lens for cataract surgery: the system can complete the selection of the intraocular lens within a few seconds, greatly improves diagnosis and treatment efficiency and saves medical resources.
4. The requirements of the patient are met, the most proper target diopter is selected through the time distribution of different eye use distances in the daily life of the patient, and the daily life requirements of the patient are met.
5. Meets the selection requirement of the personalized artificial lens: the system can individually select the type of the intraocular lens which is most suitable for the eyeball size of the patient according to the eyeball biological characteristics of the patient.
6. The service objects are wide, and the social value is high: the system is suitable for the ophthalmic lens degree selection of ophthalmic doctors in community hospitals, non-specialty hospitals and specialty hospitals on high myopia cataract, can make up the diagnosis and treatment level gap of medical institutions, is beneficial to improvement of social fairness and medical environment, and is beneficial to patients.
7. The system can self-optimize: the system calculation model can be continuously optimized by providing more clinical data along with the increase of clinical use, and the accuracy is improved.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and additions may be made to those skilled in the art without departing from the method of the present invention, which modifications and additions are also to be considered as within the scope of the present invention.

Claims (2)

1. A high myopia cataract intraocular lens precise selection system, wherein the selection system comprises:
and a selection module: for rapidly and accurately calculating the required intraocular lens power according to the determined target diopter and intraocular lens type in combination with a high myopia cataract intraocular lens power calculation model carried by the machine;
and a data module: the method is used for providing clinical data with large data quantity and corresponding postoperative diopter for a machine to learn, the machine constructs a degree calculation model based on different intraocular lens types through a convolutional neural network, repeatedly trains and debugs a training set large sample, and finally constructs a successful high myopia cataract intraocular lens degree calculation model according to the prediction accuracy requirement through testing set test;
each piece of data in the data module comprises age, sex, refractive operation state of a patient, vitreous state, preoperative diopter, eye axis length, anterior chamber depth, lens thickness, white-to-white distance, cornea curvature radius, implanted intraocular lens type, diopter and postoperative diopter;
and an evaluation module: the method comprises the steps of collecting the eye distance time of a week of daily life of a patient with high myopia and cataract, evaluating the most frequently needed eye distance of the patient, and determining the target diopter of the patient by combining the previous spectacle lenses worn by the patient;
the eye distance time collected in the evaluation module is specifically the time for reading books, reading newspapers, watching mobile phones, computers, televisions and outdoor activities;
and a matching module: the system is used for determining the most suitable intraocular lens type according to the biological measurement characteristics of the eyeballs of the patients and matching with the existing intraocular lens parameters in the system database;
biometric features in the matching module include eye axis length, anterior chamber depth, lens thickness, white-to-white distance, corneal radius of curvature.
2. The selection system of claim 1, wherein the method for establishing the high myopia cataract intraocular lens precise selection system comprises the steps of:
s1, constructing a deep learning model for calculating the degree of the high myopia cataract intraocular lens; providing clinical data with large data amount and corresponding postoperative diopter for a machine to learn, wherein each piece of data comprises age, sex and refractive operation state of a patient, vitreous state, preoperative diopter, eye axis length, anterior chamber depth and lens thickness, white-to-white distance, cornea curvature radius, implanted intraocular lens type, diopter and postoperative diopter, constructing a degree calculation model based on different intraocular lens types by the machine through a convolutional neural network, repeatedly training and debugging through a training set large sample, and finally constructing a successful high myopia cataract intraocular lens degree calculation model by testing and testing a test set to meet the prediction accuracy requirement;
s2, collecting eye distance time of a week of daily life of a patient with high myopia and cataract, specifically reading, reporting, watching mobile phone, computer, television, outdoor activities and the like, evaluating the most frequently needed eye distance of the patient, and determining the target diopter of the patient by combining the previous spectacle degree of the patient;
s3, according to biological measurement characteristics of eyeballs of a patient, including the length of an eye axis, the depth of an anterior chamber, the thickness of a lens, the white-to-white distance and the radius of curvature of a cornea, the biological measurement characteristics are matched with the parameters of the existing intraocular lens in a system database, and the most suitable intraocular lens type is determined;
s4, according to the determined target diopter and the type of the intraocular lens, combining a high myopia cataract intraocular lens degree calculation model of the machine, and rapidly and accurately calculating the required intraocular lens degree.
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