Evidence map›Paper›PMID 30789223›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2019

Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.

Markus Goeller, Balaji K Tamarappoo, Alan C Kwan, Sebastien Cadet, Frederic Commandeur, Aryabod Razipour, Piotr J Slomka, Heidi Gransar, Xi Chen, Yuka Otaki and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 2 pooled it
13.8field-weighted citation impact, top 1% 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

149 citing papers in PubMed, 2 syntheses or guidelines pooled it, 231 citations in OpenAlex.

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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 2 countries.

Markus GoellerBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, S. Mark Taper Building, Los Angeles, CA, USA.
Balaji K TamarappooDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Alan C KwanDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Sebastien CadetDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Frederic CommandeurBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, S. Mark Taper Building, Los Angeles, CA, USA.
Aryabod RazipourBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, S. Mark Taper Building, Los Angeles, CA, USA.
Piotr J SlomkaDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Heidi GransarDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Xi ChenDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Yuka OtakiDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
John D FriedmanDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
J Jane CaoDepartment of Cardiology, St Francis Hospital, New York, NY, USA.
Moritz H AlbrechtDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany.
Daniel O BittnerDepartment of Cardiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Faculty of Medicine, Erlangen, Germany.
Mohamed MarwanDepartment of Cardiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Faculty of Medicine, Erlangen, Germany.
Stephan AchenbachDepartment of Cardiology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Faculty of Medicine, Erlangen, Germany.
Daniel S BermanDepartment of Imaging and Medicine, and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Damini DeyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, S. Mark Taper Building, Los Angeles, CA, USA.
Cedars-Sinai Medical Center · USCedars-Sinai Smidt Heart Institute · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DESt. Francis Hospital · USUniversity Hospital Frankfurt · DE

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
NHLBI NIH HHS R01 HL133616NHLBI NIH HHS R56 HL131871
6 · The paper itself

Abstract

aimsIncreased attenuation of pericoronary adipose tissue (PCAT) around the proximal right coronary artery (RCA) from coronary computed tomography angiography (CTA) has been shown to be associated with coronary inflammation and improved prediction of cardiac death over plaque features. Our aim was to investigate whether PCAT CT attenuation is related to progression of coronary plaque burden. METHODS AND

resultsWe analysed CTA studies of 111 stable patients (age 59.2 ± 9.8 years, 77% male) who underwent sequential CTA (3.4 ± 1.6 years between scans) with identical acquisition protocols. Total plaque (TP), calcified plaque (CP), non-calcified plaque (NCP), and low-density non-calcified plaque (LD-NCP) volumes and corresponding burden (plaque volume × 100%/vessel volume) were quantified using semi-automated software. PCAT CT attenuation (HU) was measured around the proximal RCA, the most standardized method for PCAT analysis. Patients with an increase in NCP burden (n = 51) showed an increase in PCAT attenuation, whereas patients with a decrease in NCP burden (n = 60) showed a decrease {4.4 [95% confidence interval (CI) 2.6-6.2] vs. -2.78 (95% CI -4.6 to -1.0) HU, P < 0.0001}. Changes in PCAT attenuation correlated with changes in the burden of NCP (r = 0.55, P < 0.001) and LD-NCP (r = 0.24, P = 0.01); but not CP burden (P = 0.3). Increased baseline PCAT attenuation ≥-75 HU was independently associated with increase in NCP (odds ratio 3.07, 95% CI 1.4-7.0; P < 0.008) and TP burden on follow-up CTA.

conclusionPCAT attenuation measured from routine CTA is related to the progression of NCP and TP burden. This imaging biomarker may help to identify patients at increased risk of high-risk plaque progression and allow monitoring of beneficial changes from medical therapy.

Indexed as

Disease ProgressionAdipose TissueAgedBiomarkersCohort StudiesComputed Tomography AngiographyConfidence IntervalsCoronary AngiographyCoronary Artery DiseaseFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedMonitoring, PhysiologicOdds RatioBiomarkerscoronary CT angiographycoronary plaque progressionCT attenuationinflammationpericoronary adipose tissue

Identifiers

PMID30789223
PMCPMC6821274
OpenAlexW2915032895

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.