Evidence map›Paper›PMID 38786304›Full record

ArticleDiagnostics (Basel, Switzerland)2024

In Vivo Classification and Characterization of Carotid Atherosclerotic Lesions with Integrated

Fan Yu, Yue Zhang, Heyu Sun, Xiaoran Li, Yi Shan, Chong Zheng, Bixiao Cui, Jing Li, Yang Yang, Bin Yang and 5 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Guidelines for evaluating endothelial function in vascular tissue.American journal of physiology. Heart and circulatory physiology · 2026
    Review
  3. Article
  4. 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

15 authors.

Fan YuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Yue ZhangDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Heyu SunDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Xiaoran LiDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Yi ShanDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.ORCID 0000-0003-2646-8835
Chong ZhengDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Bixiao CuiDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Jing LiDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Yang YangBeijing United Imaging Research Institute of Intelligent Imaging, Beijing 100094, China.ORCID 0000-0001-5668-6812
Bin YangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Yan MaDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Yabing WangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Liqun JiaoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.
Xiang LiDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna General Hospital, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-0016-6233
Jie LuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Changchun Street, No. 45, Beijing 100053, China.ORCID 0000-0003-0425-3921

Funding

Beijing Natural Science Foundation Z190014National Natural Science Foundation of China 81974261National Natural Science Foundation of China 82130058
6 · The paper itself

Abstract

backgroundThe aim of this study was to exploit integrated PET/MRI to simultaneously evaluate the morphological, component, and metabolic features of advanced atherosclerotic plaques and explore their incremental value.

methodsIn this observational prospective cohort study, patients with advanced plaque in the carotid artery underwent

resultsA total of 280 patients with advanced plaque in the carotid artery were recruited. A total of 402 plaques were confirmed, and 87 of 402 (21.6%) were symptomatic plaques.

conclusionsIntegrated PET/MRI could simultaneously evaluate the morphological component and inflammation features of advanced atherosclerotic plaques and provide supplementary optimization information over AHA lesion-types for identifying vulnerable plaques in atherosclerosis subjects to achieve further stratification of stroke risk.

Indexed as

18F-FDGatherosclerosiscarotid arteriesMRIPETstrokevulnerable plaque

Identifiers

PMID38786304
PMCPMC11120206

What OpenQuestion holds

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LicenceCC BY
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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.