Evidence map›Paper›PMID 36733755›Full record

ArticleBiomedical optics express2022

Automated endocardial cushion segmentation and cellularization quantification in developing hearts using optical coherence tomography.

Shan Ling, Jiawei Chen, Maryse Lapierre-Landry, Junwoo Suh, Yehe Liu, Michael W Jenkins, Michiko Watanabe, Stephanie M Ford, Andrew M Rollins

Abstract read
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Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shan LingDepartment of Biomedical Engineering, School of Engineering and School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-4160-3751
Jiawei ChenDepartment of Biomedical Engineering, School of Engineering and School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Maryse Lapierre-LandryDepartment of Biomedical Engineering, School of Engineering and School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-9583-6876
Junwoo SuhDepartment of Biomedical Engineering, School of Engineering and School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Yehe LiuDepartment of Biomedical Engineering, School of Engineering and School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-0221-5676
Michael W JenkinsDepartment of Biomedical Engineering, School of Engineering and School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Michiko WatanabeDepartment of Pediatrics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Stephanie M FordDepartment of Pediatrics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Andrew M RollinsDepartment of Biomedical Engineering, School of Engineering and School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.

Funding

Optical Tools to Assess the Role of Hemodynamics in the Development of Congenital Heart DefectsR01HL126747 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI JENKINS, MICHAEL W. · 2015 to 2025
$6.4M
Noninvasive assessment of the cornea by diffusion OCTR01EY028667 · NEI · CASE WESTERN RESERVE UNIVERSITY · PI DUPPS, WILLIAM JOSEPH, ROLLINS, ANDREW MARTIN · 2018 to 2022
$2.0M
NEI NIH HHS R01 EY028667NHLBI NIH HHS R01 HL126747
6 · The paper itself

Abstract

Of all congenital heart defects (CHDs), anomalies in heart valves and septa are among the most common and contribute about fifty percent to the total burden of CHDs. Progenitors to heart valves and septa are endocardial cushions formed in looping hearts through a multi-step process that includes localized expansion of cardiac jelly, endothelial-to-mesenchymal transition, cell migration and proliferation. To characterize the development of endocardial cushions, previous studies manually measured cushion size or cushion cell density from images obtained using histology, immunohistochemistry, or optical coherence tomography (OCT). Manual methods are time-consuming and labor-intensive, impeding their applications in cohort studies that require large sample sizes. This study presents an automated strategy to rapidly characterize the anatomy of endocardial cushions from OCT images. A two-step deep learning technique was used to detect the location of the heart and segment endocardial cushions. The acellular and cellular cushion regions were then segregated by K-means clustering. The proposed method can quantify cushion development by measuring the cushion volume and cellularized fraction, and also map 3D spatial organization of the acellular and cellular cushion regions. The application of this method to study the developing looping hearts allowed us to discover a spatial asymmetry of the acellular cardiac jelly in endocardial cushions during these critical stages, which has not been reported before.

Identifiers

PMID36733755
PMCPMC9872882

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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.