Myopia, Myopic Macular Degeneration
Conditions
Brief summary
Myopia has become a global public health issue. Myopia affects the psychological health of children and adolescents and poses a financial burden. Therefore, early detection and prediction of children at a high risk of myopia development and progression are critical for precise and effective interventions. In this study, we developed a deep learning system DeepMyopia, based on fundus images with the following objectives: 1) to predict myopia onset and progression; 2) To detect myopic macular degeneration for AI-assisted diagnosis; 3) To predict the development of myopic macular degeneration; 4) evaluate its cost-effectiveness.
Detailed description
Myopia has become a global public health issue. Myopia affects the psychological health of children and adolescents and poses a financial burden. Furthermore, as myopia progresses it increases the risk of ocular complications such as myopic macular degeneration, leading to irreversible visual impairment or even blindness. According to the World Health Organization , more than 1 billion people worldwide are living with vision impairment caused by myopia, hyperopia, and other problems due to late detection. Therefore, early detection and prediction of children at a high risk of myopia development and progression are critical for precise and effective interventions. In this study, we developed a deep learning system DeepMyopia, based on fundus images with the following objectives: 1) to predict myopia onset and progression; 2) To detect myopic macular degeneration for AI-assisted diagnosis; 3) To predict the development of myopic macular degeneration; 4) evaluate its cost-effectiveness.
Interventions
DIAGNOSTIC_TESTA deep learning-based myopia and myopic maculopathy detection and prediction system
This deep learning system is capable of analyzing fundus images for myopia staging, myopic maculopathy detection, cycloplegic refraction estimation and prediction, and risk stratification of myopia and myopic maculopathy onset.
Sponsors
Shanghai Jiao Tong University School of Medicine
Beijing Friendship Hospital
Peking Union Medical College Hospital
Zhongshan Ophthalmic Center, Sun Yat-sen University
First Affiliated Hospital of Kunming Medical University
The Affiliated Hospital of Inner Mongolia Medical University
First Affiliated Hospital of Xinjiang Medical University
Chinese University of Hong Kong
Shanghai Eye Disease Prevention and Treatment Center
Study design
Observational model
OTHER
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
4 Years to 18 Years
Healthy volunteers
No
Inclusion criteria
1. Subjects with fundus images in the Shanghai Child and Adolescent Large-scale Eye Study (SCALE) ; 2. Subjects with fundus images in the Shanghai Time Outside to Reduce Myopia \[STORM\] trial; 3. Subjects with fundus images in the High Myopia Registration Study \[SCALE-HM\] 4. Subjects with fundus images in the Shanghai Myopia Screening (SMS) Study; 5. Subjects with fundus images in the Beijing Children Eye Study 6. Subjects with fundus images in the First Affiliated Hospital of Kunming Medical University; 7. Subjects with fundus images at the Ophthalmology Department of the First Affiliated Hospital of Xinjiang Medical University; 8. Subjects with fundus images at the Ophthalmology Department of the Affiliated Hospital of Inner Mongolia Medical University; 9. Subjects with fundus images at Zhongshan Eye Centre, Sun Yat-sen University; 10. Subjects with fundus images in the Hong Kong Children Eye Study;
Exclusion criteria
* Participants with poor-quality fundus images
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| myopia staging detection possibility score | immediately after inputting the data | output of myopia staging task |
| myopic maculopathy detection possibility score | immediately after inputting the data | output of myopic maculopathy detection task |
| predicted spherical equivalent | immediately after inputting the data | output of assessing spherical equivalent task |
| predicted future annual spherical equivalent | immediately after inputting the data | output of predicting future spherical equivalent task |
| risk score of myopia and myopic maculopathy progression | immediately after inputting the data | output of the progression of myopia and myopic maculopathy predicion task |
Countries
China
Outcome results
None listed