Deep Learning-based System and AIDS-related Cytomegalovirus Retinitis

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

50 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-04-01

Study Completion Date

2021-05-01

Brief Summary

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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.

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Detailed Description

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Conditions

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Cytomegalovirus Retinitis

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Active CMVR

The UWF images of cytomegalovirus retinitis (CMVR) included various patterns: hemorrhagic necrotizing lesion, granular lesion, frosted branch angiitis, and optic neuropathy lesion. Active CMVR lesion was defined as obvious opacity (mild, moderate, severe, very severe)

Intervention Type OTHER

Inactive CMVR

Inactive CMVR lesion was defined as a lack of opacity or questionable/equivocal activity.

Intervention Type OTHER

Non-CMVR

The non-CMVR images included normal retina and other retinopathies such as HIV-related microvascular retinopathy, diabetic retinopathy, retinal detachment, vitreous hemorrhage.

Intervention Type OTHER