Evidence map›Paper›PMID 36397766›Full record

ArticleJournal of the Society for Cardiovascular Angiography & Interventions

Fibrous Cap Thickness Predicts Stable Coronary Plaque Progression: Early Clinical Validation of a Semiautomated OCT Technology.

Nicholas Kassis, Tomas Kovarnik, Zhi Chen, Joseph R Weber, Brendan Martin, Amir Darki, Vincent Woo, Andreas Wahle, Milan Sonka, John J Lopez

Open access · goldAbstract read
In one paragraph

Article in Journal of the Society for Cardiovascular Angiography & Interventions. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Nicholas KassisDepartment of Medicine, Division of Cardiology, Loyola University Medical Center, Maywood, Illinois.
Tomas KovarnikSecond Department of Medicine, Department of Cardiovascular Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, Prague, Czech Republic.
Zhi ChenDepartment of Electrical and Computer Engineering and Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, Iowa.
Joseph R WeberDepartment of Medicine, Division of Cardiology, Loyola University Medical Center, Maywood, Illinois.
Brendan MartinDepartment of Medicine, Division of Cardiology, Loyola University Medical Center, Maywood, Illinois.
Amir DarkiDepartment of Medicine, Division of Cardiology, Loyola University Medical Center, Maywood, Illinois.
Vincent WooDepartment of Medicine, Division of Cardiology, Loyola University Medical Center, Maywood, Illinois.
Andreas WahleDepartment of Electrical and Computer Engineering and Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, Iowa.
Milan SonkaDepartment of Electrical and Computer Engineering and Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, Iowa.
John J LopezDepartment of Medicine, Division of Cardiology, Loyola University Medical Center, Maywood, Illinois.
Loyola University Medical Center · USUniversity of Iowa · USCharles University · CZ

Funding

Graph-Based Medical Image Segmentation in 3D and 4DR01EB004640 · NIBIB · UNIVERSITY OF IOWA · PI BUATTI, JOHN M, SONKA, MILAN · 2006 to 2022
$6.1M
3D &4D CORONARY HEMODYNAMICS AND LOCAL ATHEROSCLEROSISR01HL063373 · NHLBI · UNIVERSITY OF IOWA · PI SONKA, MILAN · 1999 to 2009
$2.1M
Basic and Clinical Research Training for Medical StudentsT35HL120835 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI ZELEZNIK-LE, NANCY J · 2015 to 2024
$628k
NHLBI NIH HHS R01 HL063373NHLBI NIH HHS T35 HL120835NIBIB NIH HHS R01 EB004640
6 · The paper itself

Abstract

Background: Imaging-based characteristics associated with the progression of stable coronary atherosclerotic lesions are poorly defined. Utilizing a combination of optical coherence tomography (OCT) and intravascular ultrasound (IVUS) imaging, we aimed to characterize the lesions prone to progression through clinical validation of a semiautomated OCT computational program. Methods: Patients with stable coronary artery disease underwent nonculprit vessel imaging with IVUS and OCT at baseline and IVUS at the 12-month follow-up. After coregistration of baseline and follow-up IVUS images, paired 5-mm segments from each patient were identified, demonstrating the greatest plaque progression and regression as measured by the change in plaque burden. Experienced readers identified plaque features on corresponding baseline OCT segments, and predictors of plaque progression were assessed by multivariable analysis. Each segment then underwent volumetric assessment of the fibrous cap (FC) using proprietary software. Results: Among 23 patients (70% men; median age, 67 years), experienced-reader analysis demonstrated that for every 100 μm increase in mean FC thickness, plaques were 87% less likely to progress ( Conclusions: A semiautomated FC analysis tool confirmed the significant association between thinner FC and stable coronary plaque progression along entire vessel segments, illustrating the diffuse nature of FC thinning and suggesting a future clinical role in predicting the progression of stable coronary artery disease.

Indexed as

coronary artery diseaseintravascular ultrasoundoptical coherence tomography

Identifiers

PMID36397766
PMCPMC9668070
OpenAlexW4285097813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.