Evidence map›Paper›PMID 42125072›Full record

ArticleEuropean heart journal. Imaging methods and practice2026

Polarization-sensitive optical coherence tomography-based fully-automated volumetric coronary fibrous cap characterization.

Georgia L Jones, Kenichiro Otsuka, Laurens van Zandvoort, Joost Daemen, Brett E Bouma, Martin Villiger

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Georgia L JonesWellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02139, USA.
Kenichiro OtsukaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Laurens van ZandvoortDepartment of Cardiology, Thoraxcenter, Erasmus University Medical Center, Rotterdam, The Netherlands.
Joost DaemenDepartment of Cardiology, Thoraxcenter, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-8628-1410
Brett E BoumaWellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02139, USA.
Martin VilligerWellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02139, USA.

Funding

TRD3: Percutaneous and Interstitial ImagingP41EB015903 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Jacqueline Namati · 2012 to 2026
$22.4M
Universal optical coherence polarimetryR01EB033321 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI VILLIGER, MARTIN · 2022 to 2025
$2.0M
NIBIB NIH HHS P41 EB015903NIBIB NIH HHS R01 EB033321
6 · The paper itself

Abstract

Aims: Accurate characterization of fibrous caps in coronary arteries allows more precise estimations of coronary plaque rupture risk. While intravascular imaging techniques offer high-resolution imaging, limitations in contrast and reliance on manual interpretation hinder large-scale, volumetric assessments of cap morphology. In this study, we present CapSeg, a fully automated computational pipeline for Methods and results: Using a dataset of 200 cross-sectional coronary IV-PS-OCT images, CapSeg's minimum cap thickness measurements were validated against manual annotations from two expert observers. Automated cap thickness measurements showed strong agreement with manual assessments (mean ± SD: CapSeg 131 ± 80 µm; Observer 1: 137 ± 84 µm; Observer 2: 144 ± 83 µm) demonstrating comparable limits of agreement relative to the inter-observer variability. The pipeline was applied to volumetric IV-PS-OCT data of 38 coronary lesions from patients with acute coronary syndrome (ACS, Conclusion: Overall, CapSeg enables fast, reproducible, and fully automated fibrous cap evaluation, laying the foundation for large-scale clinical studies and real-time intravascular imaging applications.

Indexed as

atherosclerosisconvolutional neural networkfibrous cap thicknessoptical coherence tomographypolarimetry

Identifiers

PMID42125072
PMCPMC13159471

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.