Evidence map›Paper›PMID 30701164›Full record

ArticleQuantitative imaging in medicine and surgery2018

Quantifying choriocapillaris flow deficits using global and localized thresholding methods: a correlation study.

Zhongdi Chu, Qinqin Zhang, Hao Zhou, Yingying Shi, Fang Zheng, Giovanni Gregori, Philip J Rosenfeld, Ruikang K Wang

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PubMed Full text at PMC Publisher
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

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21citing 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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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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Impact of Carotid Endarterectomy on Choriocapillaris Perfusion.Investigative ophthalmology & visual science · 2023
    Observational
  9. Article
  10. Observational
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  14. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Zhongdi ChuDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Qinqin ZhangDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Hao ZhouDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Yingying ShiDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Fang ZhengDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
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, USA.

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

backgroundTo investigate the correlation and agreement of two previously published choriocapillaris (CC) quantification methods using a normal database with swept-source optical coherence tomography angiography (SS-OCTA).

methodsNormal adult subjects from all age groups imaged by SS-OCTA were used in this study. Each subject was imaged with 3 mm × 3 mm and 6 mm × 6 mm scan patterns centered on fovea, upon which en face CC images were generated by segmenting volumetric OCTA data. After signal compensation and removal of projection artifacts and noise, CC images were analyzed to identify flow deficits (FD) using two published methods. The first method utilized standard deviation from a young normal database (SD method) as the global thresholding while the second method utilized fuzzy C-means algorithm (FCM method) with local thresholding. Both methods segmented FDs from CC images and quantified FD density (FDD) and mean FD size (MFDS). In each 3 mm × 3 mm scan, three regions were quantified: a 1 mm circle (C

resultsData obtained from 164 normal subjects (age: 56±19, 59% females) were used in this study. Strong correlations were observed between the two methods in all comparisons (r: 0.78-0.94, all P<0.0001). Overall MFDS provided higher or comparable correlation coefficients (r) compared to FDD. We have also observed stronger correlations in the central macula compared to parafoveal and perifoveal regions for both FDD and MFDS. In regions of C

conclusionsThere are strong correlations and satisfactory agreement between SD method and FCM method. SD method requires the reference to a normal database for CC quantification while FCM does not. Both methods could be used for the analysis of CC FDs in clinical settings depending on specific study designs such as the availability of a normal database.

Indexed as

choriocapillaris (CC)flow deficitsOptical coherence tomography angiography (OCTA)swept source OCTA

Identifiers

PMID30701164
PMCPMC6328379

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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.