Evidence map›Paper›PMID 33240573›Full record

ArticleTranslational vision science & technology2020

Improved Automated Foveal Avascular Zone Measurement in Cirrus Optical Coherence Tomography Angiography Using the Level Sets Macro.

Aidi Lin, Danqi Fang, Cuilian Li, Carol Y Cheung, Haoyu Chen

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
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Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Aidi LinJoint Shantou International Eye Center, Shantou University and The Chinese University of Hong Kong, Shantou, China.
Danqi FangJoint Shantou International Eye Center, Shantou University and The Chinese University of Hong Kong, Shantou, China.
Cuilian LiJoint Shantou International Eye Center, Shantou University and The Chinese University of Hong Kong, Shantou, China.
Carol Y CheungDepartment of Ophthalmology & Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Haoyu ChenJoint Shantou International Eye Center, Shantou University and The Chinese University of Hong Kong, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate automated measurements of the foveal avascular zone (FAZ) using the Level Sets macro (LSM) in ImageJ as compared with the Cirrus optical coherence tomography angiography (OCTA) inbuilt algorithm and the Kanno-Saitama macro (KSM). Methods: The eyes of healthy volunteers were scanned four times consecutively on the Zeiss Cirrus HD-OCT 5000 system. The FAZ metrics (area, perimeter, and circularity) were measured manually and automatically by the Cirrus inbuilt algorithm, the KSM, and the LSM. The accuracy and repeatability of all methods and agreement between automated and manual methods were evaluated. Results: The LSM segmented the FAZ with an average Dice coefficient of 0.9243. Compared with the KSM and the Cirrus inbuilt algorithm, the LSM outperformed them by 0.02 and 0.19, respectively, for Dice coefficients. Both the LSM (intraclass correlation coefficient [ICC] = 0.908; coefficient of variation [CoV] = 9.664%) and manual methods (ICC ≥ 0.921, CoV ≤ 8.727%) showed excellent repeatability for the FAZ area, whereas the other methods presented moderate to good repeatability (ICC ≤ 0.789, CoV ≥ 15.788%). Agreement with manual FAZ area measurement was excellent for both the LSM and KSM but not for the Cirrus inbuilt algorithm (LSM, ICC = 0.930; KSM, ICC = 0.928; Cirrus, ICC = 0.254). Conclusions: The LSM exhibited greater accuracy and reliability compared to the KSM and inbuilt automated methods and may be an improved and accessible option for automated FAZ segmentation. Translational Relevance: The LSM may be a suitable automated and customizable tool for FAZ quantification of Cirrus HD-OCT 5000 images, providing results comparable to those for manual measurement.

Indexed as

Image Processing, Computer-AssistedAdultAlgorithmsCross-Sectional StudiesFemaleFluorescein AngiographyFovea CentralisHealthy VolunteersHong KongHumansMaleReproducibility of ResultsRetinal DiseasesSoftwareTomography, Optical CoherenceYoung Adultaccuracyautomated measurementCirrus optical coherence tomography angiographyfoveal avascular zoneoptical coherence tomography angiography images

Identifiers

PMID33240573
PMCPMC7671870

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.