Evidence map›Paper›PMID 34107308›Full record

Observational studyAmerican journal of ophthalmology2021

Automated Quantification of Choriocapillaris Lesion Area in Patients With Posterior Uveitis.

K Matthew McKay, Zhongdi Chu, Joon-Bom Kim, Alex Legocki, Xiao Zhou, Meng Tian, Marion R Munk, Ruikang K Wang, Kathryn L Pepple

Open access · greenAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in American journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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

9 authors at 2 institutions in 2 countries.

K Matthew McKayDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA.
Zhongdi ChuDepartments of Ophthalmology and Bioengineering, University of Washington, Seattle, Washington, USA.
Joon-Bom KimDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA.
Alex LegockiDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA.
Xiao ZhouDepartments of Ophthalmology and Bioengineering, University of Washington, Seattle, Washington, USA.
Meng TianDepartment of Ophthalmology and Bern Photographic Reading Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Marion R MunkDepartment of Ophthalmology and Bern Photographic Reading Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Ruikang K WangDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA; Departments of Ophthalmology and Bioengineering, University of Washington, Seattle, Washington, USA.
Kathryn L PeppleDepartment of Ophthalmology, University of Washington, Seattle, Washington, USA. Electronic address: kpepple@uw.edu.
University of Washington · USUniversity of Bern · CH

Funding

Aging eyes and aging brains in studying alzheimer's disease: Modern ophthalmic data collection in the adult changes in thought (ACT) studyR01AG060942 · NIA · WASHINGTON UNIVERSITY · PI Cecilia Sungmin Lee · 2019 to 2026
$39.4M
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
The role of the innate and adaptive immune system in a novel model of uveitK08EY023998 · NEI · UNIVERSITY OF WASHINGTON · PI PEPPLE, KATHRYN · 2014 to 2018
$1.1M
NEI NIH HHS K08 EY023998NEI NIH HHS R01 EY024158NEI NIH HHS R01 EY028753NIA NIH HHS R01 AG060942
6 · The paper itself

Abstract

purposeTo validate a custom algorithm for automated identification and quantification of clinically relevant inflammatory choriocapillaris (CC) lesions from en face swept-source optical coherence tomography (SS-OCTA) images.

designObservational case series.

methodsTwenty eyes of 14 patients with posterior uveitis were imaged. The machine-generated en face OCTA CC slabs were exported to a computing platform, where a custom algorithm performed unsupervised lesion boundary delineation and area quantification. Lesions identified by the algorithm (AG) were compared to those identified by 2 masked human graders (HG1 and HG2), using the Sørensen-Dice coefficient (DSC) and intraclass correlation coefficient (ICC). Intragrader and intravisit reliability were determined by coefficient of variation (CV) and DSC.

resultsThe AG demonstrated excellent agreement with both HGs in determination of lesion area (HG1 vs AG ICC 0.92, 95% CI 0.81-0.97, HG2 vs AG ICC 0.91, 95% CI 0.78-0.97). The AG demonstrated good spatial overlap (DSC ≥0.70) with both HGs in 14 of 20 (70%) eyes and at least 1 HG in 16 of 20 (80%) eyes. Poor spatial overlap (DSC between 0.31 and 0.69) was associated with the presence of a choroidal neovascular membrane and low-contrast lesion boundaries. Intravisit repeatability for the AG was superior to both HGs (CV 2.6% vs >5%).

conclusionThis custom algorithm demonstrated a high degree of agreement with HGs in identification of inflammatory CC lesions and outperformed HGs in reproducibility. Automated CC lesion delineation will support the development of objective and quantitative biomarker of disease activity in patients with posterior uveitis.

Indexed as

ChoroidUveitis, PosteriorFluorescein AngiographyHumansReproducibility of ResultsTomography, Optical CoherenceCC flow-deficitChoriocapillarischoroidOCTOCTAoptical coherence tomographyoptical coherence tomography angiographyquantitative image analysisSS-OCTSS-OCTAswept source optical coherence tomographyuveitis

Identifiers

PMID34107308
PMCPMC8608733
OpenAlexW3166553668

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.