Deep Learning-based System and AIDS-related Cytomegalovirus Retinitis

Completed

• Conditions: Cytomegalovirus Retinitis

• Registration Number: NCT04831333
• Lead Sponsor: Kuifang Du

Brief Summary

Ophthalmological screening for cytomegalovirus retinitis (CMVR) for HIV/AIDS patients is important. However, the manual screening with fundus imaging is laborious and subjective.

Deep learning (DL) system has been developed for the automated detection of various eye diseases with high accuracy and efficiency, including diabetic retinopathy, glaucoma, age-related macular degeneration (AMD), papilledema, lattice degeneration and retinal breaks, from ocular fundus photographs. UWF imaging is a relatively new imaging modality for DL system but has also shown extraordinary talents in automatic retinal analysis With the press for routine CMVR screening in AIDS patients and the great capacity of DL system, the use of deep learning (DL) system to AIDS-related CMVR with Ultra-Widefield (UWF) fundus images is promising.

The investigators previously developed a DL system to detect AIDS-related CMVR. For further evaluating the applicability of the DL system, a prospective dataset is needed.

Detailed Description

Not available

Study Timeline

• Study Start: 2021-04-01
• Study First Submitted: 2021-04-01
• Study First Submitted QC: 2021-04-01
• Study First Posted: 2021-04-05
• Primary Completion: 2021-05-01
• Study Completion: 2021-05-01
• Status Verified: 2021-07
• Last Update Submitted: 2021-07-20
• Last Update Posted: 2021-07-21

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 50

Inclusion Criteria

The UWF images from HIV/AIDS patients.

Exclusion Criteria

1. The UWF images would be excluded if all three human graders gave different diagnosis.
2. The UWF images with poor quality would be excluded.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Evaluating the applicability of the DL system to identify AIDS-related CMVR	April 2021	The investigators compared the performance between two trained (senior and junior) retinal ophthalmologists with the DL system. A senior retinal ophthalmologist and a junior retinal ophthalmologist were asked to independently screen the UWF images in the prospective dataset. Accuracy, sensitivity and specificity were used to evaluate the performance.

Trial Locations

Locations (1)

Beijing Youan Hospital, Capital Medical University; 🇨🇳 Beijing, Beijing, China