Dataset Information

A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

ABSTRACT:

Background

A key objective in glaucoma is to identify those at risk of rapid progression and blindness. Recently, a novel first-in-man method for visualising apoptotic retinal cells called DARC (Detection-of-Apoptosing-Retinal-Cells) was reported. The aim was to develop an automatic CNN-aided method of DARC spot detection to enable prediction of glaucoma progression.

Methods

Anonymised DARC images were acquired from healthy control (n=40) and glaucoma (n=20) Phase 2 clinical trial subjects (ISRCTN10751859) from which 5 observers manually counted spots. The CNN-aided algorithm was trained and validated using manual counts from control subjects, and then tested on glaucoma eyes.

Results

The algorithm had 97.0% accuracy, 91.1% sensitivity and 97.1% specificity to spot detection when compared to manual grading of 50% controls. It was next tested on glaucoma patient eyes defined as progressing or stable based on a significant (p<0.05) rate of progression using OCT-retinal nerve fibre layer measurements at 18 months. It demonstrated 85.7% sensitivity, 91.7% specificity with AUC of 0.89, and a significantly (p=0.0044) greater DARC count in those patients who later progressed.

Conclusion

This CNN-enabled algorithm provides an automated and objective measure of DARC, promoting its use as an AI-aided biomarker for predicting glaucoma progression and testing new drugs.

SUBMITTER: Normando EM

PROVIDER: S-EPMC7115906 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Publications

A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

Normando Eduardo M EM Yap Tim E TE Maddison John J Miodragovic Serge S Bonetti Paolo P Almonte Melanie M Mohammad Nada G NG Ameen Sally S Crawley Laura L Ahmed Faisal F Bloom Philip A PA Cordeiro Maria Francesca MF

Expert review of molecular diagnostics 20200503 7

<h4>Background</h4>A key objective in glaucoma is to identify those at risk of rapid progression and blindness. Recently, a novel first-in-man method for visualising apoptotic retinal cells called DARC (Detection-of-Apoptosing-Retinal-Cells) was reported. The aim was to develop an automatic CNN-aided method of DARC spot detection to enable prediction of glaucoma progression.<h4>Methods</h4>Anonymised DARC images were acquired from healthy control (n=40) and glaucoma (n=20) Phase 2 clinical trial ...[more]

PMID: 32310684

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Dataset Information

A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

Background

Methods

Results

Conclusion

Publications

A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells).

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