Evidence map›Paper›PMID 34743735›Full record

ArticleJournal of cardiothoracic surgery2021

Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis.

Xiaolong Zhu, Xujiao Chen, Shaowei Ma, Ke Zhou, Yang Hou

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Observational
  7. Article
  8. Evaluation of pericoronary adipose tissue attenuation on CT.The British journal of radiology · 2023
    Review
  9. Article
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

5 authors.

Xiaolong ZhuDepartment of Radiology, Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.
Xujiao ChenDepartment of Radiology, Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.
Shaowei MaDepartment of Radiology, Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.
Ke ZhouDepartment of Radiology, Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.
Yang HouDepartment of Radiology, Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning, People's Republic of China. houyang1973@163.com.

Funding

National Natural Science Foundation 81901741National Natural Science Foundation Grant No. of 82071920The key Research & Development Plan of Liaoning Province No. 2020JH2/10300037
6 · The paper itself

Abstract

backgroundTo investigate the relationship of pericoronary adipose tissue (PCAT) with coronary artery stenosis using dual-layer spectral detector CT (SDCT).

methods99 patients were retrospectively divided into normal group, non-significant stenosis group and significant stenosis group (n = 33 in each group). Fat attenuation index (FAI) 40kev, spectral curve slope (λHU), effective atomic number (Eff-Z) and epicardial fat volume (EFV) were quantitatively evaluated of the narrowest part of the lesion tissue by SDCT.

resultsThere were significant differences in PCAT parameters on SDCT (FAI40keV, λHU, Eff-Z and EFV) among the three groups (P < 0.05). FAI40keV, λHU, and Eff-Z in significant stenosis group were statistically different from those in normal group and non-significant stenosis group (P < 0.05). FAI40keV, λHU, and Eff-Z in non-significant stenosis group were statistically different from significant stenosis group (P < 0.05). EFV in normal group were significantly lower in non-significant stenosis group and significant stenosis group (P < 0.001). Univariate and multivariate logistic regression analyses identified FAI40keV (OR = 1.50, 95%CI 1.01 to 1.09) and λHU (OR = 6.81, 95%CI 1.87 to 24.86) as independent predictors of significant stenosis. FAI40keV and λHU had quite good discrimination, with an AUC of 0.84 and 0.80 respectively.

conclusionFAI40keV, λHU, and Eff-Z on SDCT in significant stenosis group were significantly different from normal and non-significant stenosis group while EFV in normal group were significantly different from non-significant stenosis group and significant stenosis group. FAI40kev and λHU were risk factors for significant stenosis.

Indexed as

Coronary Artery DiseaseCoronary StenosisAdipose TissueCoronary AngiographyCoronary VesselsHumansRetrospective StudiesTomography, X-Ray ComputedCoronary artery stenosisDual-layer spectral detectorEpicardial fat volumePericoronary adipose tissuePlaque

Identifiers

PMID34743735
PMCPMC8574033

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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.