Evidence map›Paper›PMID 38466392›Full record

ArticleEuropean radiology2024

Reproducibility of artificial intelligence-enabled plaque measurements between systolic and diastolic phases from coronary computed tomography angiography.

Guadalupe Flores Tomasino, Donghee Han, Raymond Pimentel, William Paz, Juni Liang, Victor Y Cheng, Piotr Slomka, Daniel S Berman, Damini Dey

Abstract read
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In one paragraph

Article in European radiology, 2024. 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.

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4 · The record

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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

9 authors.

Guadalupe Flores Tomasino *Departments of Imaging and Medicine, and the, Cedars-Sinai Medical Center , Smidt Heart Institute, Los Angeles, CA, USA.
Donghee Han *Departments of Imaging and Medicine, and the, Cedars-Sinai Medical Center , Smidt Heart Institute, Los Angeles, CA, USA.
Raymond PimentelDepartments of Imaging and Medicine, and the, Cedars-Sinai Medical Center , Smidt Heart Institute, Los Angeles, CA, USA.
William PazDepartments of Imaging and Medicine, and the, Cedars-Sinai Medical Center , Smidt Heart Institute, Los Angeles, CA, USA.
Juni LiangDepartments of Imaging and Medicine, and the, Cedars-Sinai Medical Center , Smidt Heart Institute, Los Angeles, CA, USA.
Victor Y ChengMinneapolis Heart Institute, Minneapolis, MN, USA.
Piotr SlomkaDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel S BermanDepartments of Imaging and Medicine, and the, Cedars-Sinai Medical Center , Smidt Heart Institute, Los Angeles, CA, USA.
Damini DeyCedars-Sinai Medical Center, Biomedical Imaging Research Institute, 116 N Robertson Blvd, Los Angeles, CA, 90048, USA. Damini.Dey@cshs.org.ORCID http://orcid.org/0000-0003-2236-6970

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
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
Dr. Miriam and Sheldon G. Adelson Medical Research Foundation Cardiac Imaging Research InitiativeDr. Miriam and Sheldon G. Adelson Medical Research Foundation Cedars SinaiNHLBI Division of Intramural Research 1R01HL148787-01A1NHLBI Division of Intramural Research 1R01HL151266NHLBI Division of Intramural Research diversity supplement 3R01HL148787-03S1
6 · The paper itself

Abstract

objectivesCurrent coronary CT angiography (CTA) guidelines suggest both end-systolic and mid-diastolic phases of the cardiac cycle can be used for CTA image acquisition. However, whether differences in the phase of the cardiac cycle influence coronary plaque measurements is not known. We aim to explore the potential impact of cardiac phases on quantitative plaque assessment.

methodsWe enrolled 39 consecutive patients (23 male, age 66.2 ± 11.5 years) who underwent CTA with dual-source CT with visually evident coronary atherosclerosis and with good image quality. End-systolic and mid- to late-diastolic phase images were reconstructed from the same CTA scan. Quantitative plaque and stenosis were analyzed in both systolic and diastolic images using artificial intelligence (AI)-enabled plaque analysis software (Autoplaque).

resultsOverall, 186 lesions from 39 patients were analyzed. There were excellent agreement and correlation between systolic and diastolic images for all plaque volume measurements (Lin's concordance coefficient ranging from 0.97 to 0.99; R ranging from 0.96 to 0.98). There were no substantial intrascan differences per patient between systolic and diastolic phases (p > 0.05 for all) for total (1017.1 ± 712.9 mm

conclusionExcellent agreement and no substantial differences were observed in AI-enabled quantitative plaque measurements on CTA in systolic and diastolic images. Following further validation, standardized plaque measurements can be performed from CTA in systolic or diastolic cardiac phase. CLINICAL RELEVANCE STATEMENT: Quantitative plaque assessment using artificial intelligence-enabled plaque analysis software can provide standardized plaque quantification, regardless of cardiac phase. KEY POINTS: • The impact of different cardiac phases on coronary plaque measurements is unknown. • Plaque analysis using artificial intelligence-enabled software on systolic and diastolic CT angiography images shows excellent agreement. • Quantitative coronary artery plaque assessment can be performed regardless of cardiac phase.

Indexed as

Artificial IntelligenceComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseDiastolePlaque, AtheroscleroticSystoleAgedFemaleHumansMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsAtherosclerosisAtherosclerotic plaqueComputed tomography angiographyCoronary artery disease

Identifiers

PMID38466392

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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.