Computer Aided Diagnosis of Multiple Eye Fundus Diseases From Color Fundus Photograph

Summary

Blindness can be caused by many ocular diseases, such as diabetic retinopathy, retinal vein occlusion, age-related macular degeneration, pathologic myopia and glaucoma. Without timely diagnosis and adequate medical intervention, the visual impairment can become a great burden on individuals as well as the society. It is estimated that China has 110 million patients under the attack of diabetes, 180 million patients with hypertension, 120 million patients suffering from high myopia and 200 million people over 60 years old, which suggest a huge population at the risk of blindness. Despite of this crisis in public health, our society has no more than 3,000 ophthalmologists majoring in fundus oculi disease currently. As most of them assembling in metropolitan cities, health system in this field is frail in primary hospitals. Owing to this unreasonable distribution of medical resources, providing medical service to hundreds of millions of potential patients threatened with blindness is almost impossible.

To solve this problem, this software (MCS) was developed as a computer-aided diagnosis to help junior ophthalmologists to detect 13 major retina diseases from color fundus photographs. This study has been designed to validate the safety and efficiency of this device.

Conditions

• Diabetic Retinopathy
• Retinal Vein Occlusion
• Retinal Artery Occlusion
• Central Serous Chorioretinopathy
• Pathologic Myopia
• Retinitis Pigmentosa
• Epiretinal Membrane
• Macular Holes
• Nonexudative Age-related Macular Degeneration
• Exudative Age Related Macular Degeneration
• Suspect Glaucoma
• Optic Atrophy
• Retinal Detachment

Interventions

DIAGNOSTIC_TEST

Software assisted imaging diagnosis

In the test group, diagnoses are given with the help of the software.

Sponsors & Collaborators

• Peking University First Hospital

  collaborator OTHER

• Beijing Municipal Science & Technology Commission

  collaborator OTHER

• Visionary Intelligence Ltd.

  lead INDUSTRY

Principal Investigators

• You xin Chen, PHD · Peking Union Medical College

Eligibility

Min Age

18 Years

Max Age

75 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2020-08-10

Primary Completion

2021-03-10

Completion

2021-05-30

Countries

• China

Study Locations