Evidence map›Paper›PMID 28025263›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2017

Quantitative plaque features from coronary computed tomography angiography to identify regional ischemia by myocardial perfusion imaging.

Mariana Diaz-Zamudio, Tobias A Fuchs, Piotr Slomka, Yuka Otaki, Reza Arsanjani, Heidi Gransar, Guido Germano, Daniel S Berman, Philipp A Kaufmann, Damini Dey

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 41 citations in OpenAlex.

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  7. Association between myocardial ischemia and plaque characteristics in chronic total occlusion.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
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  16. Deep learning-based stenosis quantification from coronary CT Angiography.Proceedings of SPIE--the International Society for Optical Engineering · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Mariana Diaz-ZamudioDepartments of Imaging (Division of Nuclear Medicine) and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Tobias A FuchsDepartment of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
Piotr SlomkaDepartments of Imaging (Division of Nuclear Medicine) and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Yuka OtakiDepartments of Imaging (Division of Nuclear Medicine) and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Reza ArsanjaniDepartments of Imaging (Division of Nuclear Medicine) and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Heidi GransarDepartments of Imaging (Division of Nuclear Medicine) and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Guido GermanoDepartments of Imaging (Division of Nuclear Medicine) and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel S BermanDepartments of Imaging (Division of Nuclear Medicine) and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Philipp A KaufmannDepartments of Imaging (Division of Nuclear Medicine) and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Damini DeyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Cedars-Sinai Medical Center · USUniversity Hospital of Zurich · CH

Funding

Quantitative Prediction of Disease and Outcomes from Next Generation SPECT and CTR01HL089765 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SLOMKA, PIOTR J · 2007 to 2021
$6.1M
NHLBI NIH HHS R01 HL089765
6 · The paper itself

Abstract

aimsWe aimed to investigate whether quantitative plaque features measured from coronary CT angiography (CCTA) predict ischemia by myocardial perfusion SPECT imaging (MPI). METHODS AND

resultsHundred and eighty-four consecutive patients (63% males) with suspected-coronary artery disease, undergoing hybrid CCTA, and attenuation corrected solid state 99mTc stress/rest MPI and single vessel ischemia were considered. Quantitative analysis of CCTA derived non-calcified plaque (NCP), low-density NCP [< 30 Hounsfield Units (HU)] (LDNCP), calcified and total plaque burdens (%, normalized to vessel volume), maximum diameter stenosis and contrast density difference (CD, maximum difference in HU/lumen area within lesion). Normal thresholds for plaque features were defined as 95th percentile thresholds, from 40% of vessels with non-ischemic MPI regions. These vessels were excluded from further analysis. Regional ischemia (≥ 2%) was quantified from MPI. All plaque features were higher in arteries corresponding to ischemia (P < 0.003 for all). In multi-variable analysis, abnormal NCP burden [odds ratio (OR) 2.6], LDNCP burden (OR 3.9), and CD (OR 2.7) were significantly associated with ischemia, whereas stenosis ≥ 50% was not (P = 0.14). In a subset of vessels with ≥ 50% stenosis, LDNCP burden (OR 4.3, P = 0.008) and CD (OR 3.7, P = 0.029) were associated with ischemia. In subsets of vessels with stenosis 30-69% and ≥ 70%, abnormal LDNCP burden (OR 6.4, P = 0.006) and CD (OR 7.3, P = 0.02) were associated with ischemia.

conclusionsQuantitative plaque features obtained from CCTA, LDNCP, and CD, are associated with ischemia by MPI independent of stenosis. LDNCP burden and CD are associated with ischemia in stenosis 30-69% and ≥ 70%, respectively.

Indexed as

AgedCohort StudiesComputed Tomography AngiographyConfidence IntervalsCoronary AngiographyCoronary Artery DiseaseFemaleHumansMaleMiddle AgedMyocardial IschemiaMyocardial Perfusion ImagingOdds RatioPlaque, AtheroscleroticPredictive Value of TestsRetrospective StudiesCCTAcontrast density differencecoronary plaqueischemialow density non-calcified plaque

Identifiers

PMID28025263
PMCPMC5837445
OpenAlexW2562900114

What OpenQuestion holds

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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.