Evidence map›Paper›PMID 40235807›Full record

ArticleQuantitative imaging in medicine and surgery2025

Diagnostic potential of pericoronary adipose tissue mean attenuation for coronary atherosclerotic heart disease: a comparative analysis with the fat attenuation index.

Qinyi Li, Meng Lin, Haihua Fan, Chunmei Liao, Xiulan Liu, Ying Zhao, Wu Wang, Yan Yue, Hong Yao, Gang Wang and 2 more

Abstract read
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In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qinyi Li *Department of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Meng Lin *Department of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.ORCID https://orcid.org/0009-0007-2051-1771
Haihua FanDepartment of Radiology, Guiqian International General Hospital, Guiyang, China.
Chunmei LiaoDepartment of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Xiulan LiuDepartment of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Ying ZhaoDepartment of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Wu WangDepartment of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Yan YueDepartment of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Hong YaoDepartment of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Gang WangDepartment of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Jiajia Shu *Department of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.
Wenjia Li *Department of Radiology, The First People's Hospital of Yunnan Province & Provincial Clinical Key Specialty of Medical Imaging Department, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The fat attenuation index (FAI), a threshold-based method for assessing pericoronary adipose tissue (PCAT) density, provides strong evidence for patient-specific coronary inflammation assessment. However, the reliance on fat thresholds may result in the omission of some critical information. Thus, this study aimed to explore the diagnostic potential of a novel method, pericoronary adipose tissue mean attenuation (PCAT Methods: This single-center observational study enrolled patients undergoing coronary computed tomography angiography (CCTA) between May 2021 and October 2022. In total, 75 patients with plaque and 63 patients without plaque were enrolled in the study. PCAT density was measured at various distances (0.50, 0.75, 1.00, 1.25, 1.50, 1.75, and 2.00 mm) from the vascular wall in the non-plaque group to investigate the effect of varying distances from the coronary artery on PCAT density. A Bland-Altman analysis and intraclass correlation coefficients were used to assess the feasibility and reproducibility of the PCAT Results: As the distance from the lumen increased, the PCAT density gradually decreased, plateauing after a distance of 0.75 mm (P=0.907). There were no differences between PCAT Conclusions: The novel PCAT

Indexed as

atherosclerosiscoronary artery disease (CAD)inflammationPericoronary adipose tissue (PCAT)plaque

Identifiers

PMID40235807
PMCPMC11994503

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.