Evidence map›Paper›PMID 39896053›Full record

ArticleAmerican journal of preventive cardiology2025

Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population.

Guadalupe Flores Tomasino, Caroline Park, Kajetan Grodecki, Jolien Geers, Donghee Han, Andrew Lin, Keiichiro Kuronuma, Nipun Manral, Emily Xing, Heidi Gransar and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. As the picture gets prettier the bar must rise higher.American journal of preventive cardiology · 2026
    Article
  2. Article
  3. Review
  4. 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

16 authors.

Guadalupe Flores TomasinoDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Caroline ParkDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Kajetan GrodeckiDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Jolien GeersDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Donghee HanDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Andrew LinDivision of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA.
Keiichiro KuronumaDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Nipun ManralDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Emily XingDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Heidi GransarDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Sebastien CadetDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Alan RozanskiDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Piotr J SlomkaDivision of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA.
Michelle WilliamsDivision of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA.
Daniel S BermanDivision of Cardiology, Cedars-Sinai Medical Center, The Smidt Heart Institute, Los Angeles, CA, USA.
Damini DeyDepartments of Biomedical Sciences and Medicine, and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Funding

Integrated prediction of cardiovascular events by automated coronary plaque and pericoronary adipose tissue quantification from CT AngiographyR01HL148787 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2020 to 2023
$3.0M
AI-enabled characterization of fibrocalcific aortic valve disease and inflammation from CT Angiography: Patient-specific outcome predictionR01HL175875 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Damini Dey · 2024 to 2026
$2.4M
Effect of Intensive Medical Treatment on Quantified Coronary Artery Plaque Components with Serial Coronary CTA in Women with Non-Obstructive CADR01HL151266 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI, TAMARAPPOO, BALAJI K. · 2020 to 2023
$1.6M
NHLBI NIH HHS R01 HL148787NHLBI NIH HHS R01 HL151266NHLBI NIH HHS R01 HL175875
6 · The paper itself

Abstract

Background: Ethnic differences in coronary atherosclerosis remain to be fully elucidated. We aimed to assess quantitative plaque characteristics from coronary CT Angiography (CCTA) in relation to ethnicity and cardiovascular risk factors in a multi-ethnic asymptomatic US population. Methods: This cross-sectional study retrospectively evaluated 388 asymptomatic patients selected from a prospective CCTA registry. A total of 194 patients from ethnic minority groups (Asian, African American, and Hispanic) were matched by age, sex, and cardiovascular risk factors to 194 White patients. Quantitative plaque volumes-including total plaque, non-calcified plaque, low-attenuation non-calcified plaque (<30 Hounsfield Units [HU]), and calcified plaque-were measured using artificial intelligence-enabled software. Pericoronary adipose tissue attenuation (PCAT) was also assessed and reported in Hounsfield Units (HU). Results: The total study population included 388 patients (age 59.9±11.7 years, 68% male), of which 63% had coronary atherosclerosis with total plaque volumes of 149[IQR 50-438] mm Conclusions: Our study showed a uniformly high prevalence of atherosclerosis in this asymptomatic cohort, with lower plaque volumes of all sub-components in women. African American patients were associated with lower quantitative plaque volumes (total, non-calcified and calcified) but with higher PCAT compared to White patients; with no significant differences observed among other ethnic minorities.

Indexed as

AtherosclerosisAtherosclerotic plaqueCoronary CT angiographyEthnicityInflammationQuantitative evaluationSex differences

Identifiers

PMID39896053
PMCPMC11786063

What OpenQuestion holds

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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.