Evidence map›Paper›PMID 31028446›Full record

ArticleEuropean radiology2019

Standardized volumetric plaque quantification and characterization from coronary CT angiography: a head-to-head comparison with invasive intravascular ultrasound.

Hidenari Matsumoto, Satoshi Watanabe, Eisho Kyo, Takafumi Tsuji, Yosuke Ando, Yuka Otaki, Sebastien Cadet, Heidi Gransar, Daniel S Berman, Piotr Slomka and 2 more

Abstract readComparative Study
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
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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

12 authors.

Hidenari MatsumotoDepartment of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA. matsumoto_hidenari@yahoo.co.jp.
Satoshi WatanabeDepartment of Cardiology, Kusatsu Heart Center, Kusatsu, Shiga, Japan.
Eisho KyoDepartment of Cardiology, Kusatsu Heart Center, Kusatsu, Shiga, Japan.
Takafumi TsujiDepartment of Cardiology, Kusatsu Heart Center, Kusatsu, Shiga, Japan.
Yosuke AndoDepartment of Cardiology, Kusatsu Heart Center, Kusatsu, Shiga, Japan.
Yuka OtakiDepartment of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Sebastien CadetDepartment of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Heidi GransarDepartment of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Daniel S BermanDepartment of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Piotr SlomkaDepartment of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Balaji K TamarappooDepartment of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Damini DeyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Funding

Automated quantitative CT imaging of epicardial adipose tissue and risk of cardiac eventsR01HL133616 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2016 to 2019
$2.6M
Detection of vulnerable atherosclerotic plaque with a novel 18F-labeled Integrin targeted PET imaging agentR56HL131871 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI TAMARAPPOO, BALAJI K. · 2016 to 2016
$496k
National Institute of Health/National Heart, Lung, and Blood Institute 1R01HL133616NHLBI NIH HHS R01 HL133616NHLBI NIH HHS R56 HL131871
6 · The paper itself

Abstract

objectivesWe sought to evaluate the accuracy of standardized total plaque volume (TPV) measurement and low-density non-calcified plaque (LDNCP) assessment from coronary CT angiography (CTA) in comparison with intravascular ultrasound (IVUS).

methodsWe analyzed 118 plaques without extensive calcifications from 77 consecutive patients who underwent CTA prior to IVUS. CTA TPV was measured with semi-automated software comparing both scan-specific (automatically derived from scan) and fixed attenuation thresholds. From CTA, %LDNCP was calculated voxels below multiple LDNCP thresholds (30, 45, 60, 75, and 90 Hounsfield units [HU]) within the plaque. On IVUS, the lipid-rich component was identified by echo attenuation, and its size was measured using attenuation score (summed score ∕ analysis length) based on attenuation arc (1 = < 90°; 2 = 90-180°; 3 = 180-270°; 4 = 270-360°) every 1 mm.

resultsTPV was highly correlated between CTA using scan-specific thresholds and IVUS (r = 0.943, p < 0.001), with no significant difference (2.6 mm

conclusionsStandardized noninvasive plaque quantification from CTA using scan-specific thresholds correlates highly with IVUS. Use of a < 45-HU threshold for LDNCP quantification improves lipid-rich plaque assessment from CTA. KEY POINTS: • Standardized scan-specific threshold-based plaque quantification from coronary CT angiography provides an accurate total plaque volume measurement compared with intravascular ultrasound. • Attenuation histogram-based low-density non-calcified plaque quantification can improve lipid-rich plaque assessment from coronary CT angiography.

Indexed as

AlgorithmsAgedComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticReproducibility of ResultsUltrasonography, InterventionalAtherosclerotic plaqueComputed tomography angiographyInterventional ultrasonography

Identifiers

PMID31028446
PMCPMC6824266

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.