Evidence map›Paper›PMID 30859284›Full record

ArticleEuropean radiology2019

Epicardial fat volume measured on nongated chest CT is a predictor of coronary artery disease.

Yasunori Nagayama, Naoki Nakamura, Ryo Itatani, Seitaro Oda, Shinichiro Kusunoki, Hideo Takahashi, Takeshi Nakaura, Daisuke Utsunomiya, Yasuyuki Yamashita

Erratum issuedAbstract read
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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. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.3field-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

17 citing papers in PubMed, 40 citations in OpenAlex.

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  14. Ectopic Fat Accumulation in Pancreas and Heart.Journal of clinical medicine · 2021
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  17. Novel imaging biomarkers: epicardial adipose tissue evaluation.The British journal of radiology · 2020 · on this map
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Yasunori NagayamaDepartment of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1, Honjo, Chuo-ku, Kumamoto, 860-8556, Japan. y.nagayama1980@gmail.com.ORCID http://orcid.org/0000-0003-3280-7346
Naoki NakamuraDepartment of Radiology, Minamata City General Hospital and Medical Center, 1-2-1, Tenjin-cho, Minamata, 867-0041, Japan.
Ryo ItataniDepartment of Radiology, Minamata City General Hospital and Medical Center, 1-2-1, Tenjin-cho, Minamata, 867-0041, Japan.
Seitaro OdaDepartment of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1, Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Shinichiro KusunokiDepartment of Radiology, Minamata City General Hospital and Medical Center, 1-2-1, Tenjin-cho, Minamata, 867-0041, Japan.
Hideo TakahashiDepartment of Radiology, Minamata City General Hospital and Medical Center, 1-2-1, Tenjin-cho, Minamata, 867-0041, Japan.
Takeshi NakauraDepartment of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1, Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Daisuke UtsunomiyaDepartment of Diagnostic Radiology, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Japan.
Yasuyuki YamashitaDepartment of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1, Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Kumamoto University · JPYokohama City University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate whether epicardial fat volume (EFV) quantified on ECG-nongated noncontrast CT (nongated-NCCT) could be used as a reliable and reproducible predictor for coronary artery disease (CAD).

methodsOne hundred seventeen subjects (65 men, mean age 66.6 ± 11.9 years) underwent coronary CT angiography (CCTA) and nongated-NCCT during a single session because of symptoms suggestive of CAD. Two observers independently quantified EFV on both images. Correlation between CCTA-EFV and nongated-NCCT-EFV was assessed using Pearson's correlation coefficient and Bland-Altman plots. Inter-observer agreement was analyzed using concordance correlation coefficients (CCC). Coronary risk factors including EFV were compared between CAD-positive (> 50% stenosis) and CAD-negative groups. The association between EFV and CAD was analyzed using multivariate logistic regression. ROC analysis was performed, and AUC was compared with DeLong's method.

resultsSeventy-four subjects were diagnosed with CAD. An excellent correlation was noted between CCTA-EFV and nongated-NCCT-EFV (r = 0.948, p < 0.001), despite the systematic difference between both measurements (mean bias, 1.26). Inter-observer agreement was nearly perfect (CCC, 0.988 and 0.985 for CCTA and nongated-NCCT, respectively, p < 0.001). Significant differences were noted between subjects with versus without CAD in age, hypertension, and EFV on both types of images (p ≤ 0.026). Multivariate analysis revealed that increased EFV on CCTA (odds ratio 1.185, p = 0.003) and nongated-NCCT (odds ratio 1.20, p = 0.015) was independently associated with CAD. There was no significant difference between CCTA-EFV and nongated-NCCT-EFV in AUC for the prediction of CAD (0.659 vs 0.665, p = 0.706).

conclusionsDespite the absence of ECG gating, EFV measured on NCCT may serve as a reproducible predictor for CAD with accuracy equivalent to EFV measured on CCTA. KEY POINTS: • Despite the absence of ECG gating, the EFV on NCCT provides nearly perfect inter-observer reproducibility and shows excellent correlation with measurements on gated CCTA. • EFV on nongated-NCCT may serve as an independent biomarker for predicting coronary artery disease with accuracy equivalent to that of EFV on gated CCTA.

Indexed as

Adipose TissueAgedCoronary Artery DiseaseFemaleHumansMaleOdds RatioPericardiumReproducibility of ResultsRetrospective StudiesROC CurveSeverity of Illness IndexTomography, X-Ray ComputedBody fat distributionCoronary artery diseaseMultidetector computed tomographyPericardiumPredictive value of tests

Identifiers

PMID30859284
OpenAlexW2921486645

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.