Evidence map›Paper›PMID 31323202›Full record

ArticleAmerican journal of ophthalmology2019

Quantification of Choriocapillaris with Optical Coherence Tomography Angiography: A Comparison Study.

Zhongdi Chu, Giovanni Gregori, Philip J Rosenfeld, Ruikang K Wang

Abstract read
In one paragraph

Article in American journal of ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Automated optical coherence tomography quantification of retinal wall-to-lumen alterations in preeclampsia.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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  10. Quantification of Normative Human Choriocapillaris Measures Across the Macula.Investigative ophthalmology & visual science · 2025
    Article
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  14. Observational
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhongdi ChuDepartment of Bioengineering, University of Washington, Seattle, Washington.
Giovanni GregoriDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Philip J RosenfeldDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, Washington; Department of Ophthalmology, University of Washington, Seattle, Washington. Electronic address: wangrk@uw.edu.

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Dmitry V Ivanov · 2004 to 2026
$12.2M
Ultra-wide field optical coherence tomography based angiography for imaging diabetic retinopathyR01EY028753 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2018 to 2021
$2.2M
NON-INVASIVE REAL-TIME LABEL-FREE 3D IMAGING OF RETINAL MICROCIRCULATIONR01EY024158 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2014 to 2017
$1.7M
NEI NIH HHS P30 EY014801NEI NIH HHS R01 EY024158NEI NIH HHS R01 EY028753
6 · The paper itself

Abstract

purposeTo demonstrate the variation in quantitative choriocapillaris (CC) metrics with various binarization approaches using optical coherence tomography angiography (OCTA).

designRetrospective, observational, cross-sectional case series.

methodsMacular OCTA scans, 3- × 3-mm and 6- × 6-mm, were obtained from normal eyes and from eyes with drusen secondary to age-related macular degeneration (AMD). The CC slab was extracted, and the CC flow deficits (FDs) were segmented with 2 previously published algorithms: the fuzzy C-means approach (FCM method) and Phansalkar's local thresholding (Phansalkar method). Four different values for the radius were used in order to investigate the effect on the FD segmentation when using the Phansalkar method. FD density (FDD), mean FD size (MFDS), FD number (FDN), FD area (FDA) and intercapillary distance (ICD) were calculated for comparison. Repeatability was assessed as coefficient of variation (CV), and Pearson's correlation analysis was conducted.

resultsSix eyes from 6 subjects with normal eyes and 6 eyes from 6 subjects with drusen secondary to AMD were scanned. The 3- × 3-mm scans resulted in higher repeatability than the 6- × 6-mm scans. For the Phansalkar method, larger values of the radius resulted in higher repeatability. ANOVA tests resulted in significant differences (P < 0.001) among the FCM method and the Phansalkar method with different radius options for all CC metrics and scan sizes investigated. In 3- × 3-mm scans, significant correlation was found between the FCM method and the Phansalkar method for all quantitative CC metrics other than FDN (all P < 0.001; 0.90 < r <0.99).

conclusionsQuantitative CC analysis with commercially available OCTA is complicated and researchers need to pay close attention to how they conduct such analyses.

Indexed as

Blood Flow VelocityChoroidCross-Sectional StudiesFluorescein AngiographyHumansMacular DegenerationRegional Blood FlowRetinal DrusenRetrospective StudiesTomography, Optical Coherence

Identifiers

PMID31323202
PMCPMC6889046

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Registered trials

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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.