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IMPACT OF OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY REVIEW STRATEGY ON DETECTION OF CHOROIDAL NEOVASCULARIZATION

Authors :
Sunil K. Srivastava
Atsuro Uchida
Natalia Figueiredo
Jamie Reese
Rishi P Singh
Amy Babiuch
Ming Hu
Peter K. Kaiser
Mehnaz Khan
Justis P. Ehlers
Aleksandra Rachitskaya
Source :
Retina. 40:672-678
Publication Year :
2020
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2020.

Abstract

Purpose To compare optical coherence tomography angiography (OCTA) review strategies for optimizing choroidal neovascularization (CNV) detection. Methods Eyes with CNV in the differential diagnosis were imaged with the Avanti RTVue XR HD (Optovue, Fremont, CA). Three modalities of review for CNV presence were used in each case: a single report generated using automated segmentation within Avanti software; a continuous slab descent video OCTA export; and a manual segmentation approach using cross-sectional OCT with decorrelation signal overlay. Scans were reviewed by two masked expert reviewers; a third reviewer was used for discrepancies. Results The study included 421 eyes, and 350 eyes had reports deemed sufficient quality for interpretation. Choroidal neovascularization was in the differential diagnosis in 107 of 350 patients. Overall CNV was identified in 55% (59/107) eyes. In those eyes with CNV, the automated segmentation identified CNV in 56% (33/59) of cases, continuous slab descent method identified CNV in 53% (31/59) of cases, and the manual segmentation group identified CNV in 92% (54/59) of cases. Conclusion Review strategies for detection of CNV on OCTA were highest using the manual segmentation method as compared to both the automated report and continuous slab descent methods. Although the manual segmentation method had a higher rate of detection, the practical aspects of the time required for segmentation make this method challenging in routine clinical practice.

Details

ISSN :
0275004X
Volume :
40
Database :
OpenAIRE
Journal :
Retina
Accession number :
edsair.doi.dedup.....8be889e6d18b49402532baa4b1a69e31
Full Text :
https://doi.org/10.1097/iae.0000000000002443