Explainable Ocular Fundus Diseases Report Generation System

NCT ID: NCT05622565

Last Updated: 2023-07-11

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 15000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2011-01-31
• Study Completion Date: 2024-07-31

Brief Summary

To establish a deep learning system of various ocular fundus disease analytics based on the results of multimodal examination images. The system can analyze multimodal ocular fundus images, make diagnoses and generate corresponding reports.

Detailed Description

The ocular fundus is the only part of the human body that can directly see the blood vessel microcirculation and nerve tissue. Through various imaging tests, including Color Fundus Photograph (CFP), Optical Coherence Tomography (OCT), Fluorescein Fundus Angiography (FFA) and Indocyanine Green Angiography (ICGA), etc., it is possible to statically overview or dynamically observe the retina and choroid, the condition of blood vessels and nerves, and comprehensive diagnosis of the disease. The screening, interpreting and accurate diagnosis of ocular fundus diseases are crucial for disease prevention, control and precise treatment. However, due to the variety of fundus examination methods, and the complexity and professionalism of the examination, there is a lack of fundus specialists who have sufficient clinical experience and knowledge to interpret fundus examinations. With the continuous development of artificial intelligence (AI) in diagnosing fundus diseases, various modalities of imaging examination methods are gradually applied to the development of fundus disease diagnosis systems. Moreover, medical images often come with corresponding reports, which are mostly generated by clinicians' or radiologists' experience.

Here, we are establishing a fundus disease diagnosis and report-generating system based on cross-modal ocular fundus imaging examinations, and fundus lesions were visualized at the same time. Multi-center data verification will also be conducted. The results of the research will assist in fundus lesions diagnosis and imaging reports generation. We hope this could popularize more complex fundus imaging examination methods to society, and help improve the early diagnosis and treatment of fundus lesions that cause blindness.

Conditions

Ophthalmological Disorder; Image, Body

Study Design

• Observational Model Type: OTHER
• Study Time Perspective: OTHER

Study Groups

Training set

Multimodal ocular fundus images and corresponding reports collected from multiple screening sites in China.

No interventions assigned to this group

Internal Validation set

Records separated from the training set.

No interventions assigned to this group

External Test set

Multimodal ocular fundus images and corresponding reports collected from multi-centers in China and around the world.

Various modalities of ocular fundus imaging

Intervention Type: DIAGNOSTIC_TEST

Through various modalities of ocular fundus imaging, combining with clinical data and the experience of clinicians to diagnose different fundus diseases.

Interventions

Various modalities of ocular fundus imaging

Through various modalities of ocular fundus imaging, combining with clinical data and the experience of clinicians to diagnose different fundus diseases.

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

Inclusion Criteria

• The quality of multimodal ocular fundus disease examination images and corresponding reports should be clinically acceptable.

Exclusion Criteria

• Reports with key information missing.
• Images with severe image resolution reductions, blur or artifacts were excluded from further analysis.

• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Sun Yat-sen University

OTHER

Sponsor Role: lead

Responsible Party

Yingfeng Zheng

M.D, Ph.D

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Yingfeng Zheng, M.D. Ph.D

Role: PRINCIPAL_INVESTIGATOR

Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity,Guangzhou, Guangdong, China, 510060

Locations

Zhognshan Ophthalmic Center, Sun Yat-sen University

Guangzhou, Guangdong, China

Site Status: RECRUITING

Countries

China

Central Contacts

Yingfeng Zheng, M.D. Ph.D

Role: CONTACT

zhyfeng@mail.sysu.edu.cn

+8613922286455

Wenjia Cai, M.D. Ph.D

Role: CONTACT

caiwenjia@gzzoc.com

+8615017593912

Facility Contacts

Yingfeng Zheng, M.D, Ph.D

Role: primary

zhyfeng@mail.sysu.edu.cn

+8613922286455

Other Identifiers

2021KYPJ164

Identifier Type: -

Identifier Source: org_study_id