Evidence map›Paper›PMID 35414972›Full record

ArticleBiomedical optics express2022

Automatic geographic atrophy segmentation using optical attenuation in OCT scans with deep learning.

Zhongdi Chu, Liang Wang, Xiao Zhou, Yingying Shi, Yuxuan Cheng, Rita Laiginhas, Hao Zhou, Mengxi Shen, Qinqin Zhang, Luis de Sisternes and 4 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
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  16. Geographic Atrophy Segmentation Using Multimodal Deep Learning.Translational vision science & technology · 2023
    Article
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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

14 authors.

Zhongdi ChuDepartment of Bioengineering, University of Washington, Seattle, Washington, 98195, USA.ORCID https://orcid.org/0000-0001-7430-5032
Liang WangDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA.
Xiao ZhouDepartment of Bioengineering, University of Washington, Seattle, Washington, 98195, USA.
Yingying ShiDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA.
Yuxuan ChengDepartment of Bioengineering, University of Washington, Seattle, Washington, 98195, USA.
Rita LaiginhasDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA.
Hao ZhouDepartment of Bioengineering, University of Washington, Seattle, Washington, 98195, USA.ORCID https://orcid.org/0000-0003-0068-5102
Mengxi ShenDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA.ORCID https://orcid.org/0000-0002-1336-1695
Qinqin ZhangDepartment of Bioengineering, University of Washington, Seattle, Washington, 98195, USA.
Luis de SisternesResearch and Development, Carl Zeiss Meditec, Inc, Dublin, California, 94568, USA.
Aaron Y LeeDepartment of Ophthalmology, University of Washington, Seattle, Washington, 98195, USA.
Giovanni GregoriDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA.
Philip J RosenfeldDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA.
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, Washington, 98195, USA.ORCID https://orcid.org/0000-0001-5169-8822

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Victor L Perez · 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
Epidemiology and clinical outcomes of diabetic macular edemaK23EY029246 · NEI · UNIVERSITY OF WASHINGTON · PI LEE, AARON · 2018 to 2022
$1.1M
NEI NIH HHS K23 EY029246NEI NIH HHS P30 EY014801NEI NIH HHS R01 EY028753
6 · The paper itself

Abstract

A deep learning algorithm was developed to automatically identify, segment, and quantify geographic atrophy (GA) based on optical attenuation coefficients (OACs) calculated from optical coherence tomography (OCT) datasets. Normal eyes and eyes with GA secondary to age-related macular degeneration were imaged with swept-source OCT using 6 × 6 mm scanning patterns. OACs calculated from OCT scans were used to generate customized composite

Identifiers

PMID35414972
PMCPMC8973176

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.