Evidence map›Paper›PMID 38106246›Full record

ArticleQuantitative imaging in medicine and surgery2023

Pericarotid adipose tissue computed tomography attenuation distinguishes different stages of carotid atherosclerotic disease: a cross-sectional study.

Xin Liu, Fang Wu, Xiuqin Jia, Huiyu Qiao, Yuehong Liu, Xiaoxu Yang, Yingying Li, Mengke Zhang, Qi Yang

Open access · diamondAbstract read
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Article in Quantitative imaging in medicine and surgery, 2023. 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
2.6field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  9. Pericarotid Fat as a Marker of Cerebrovascular Risk.AJNR. American journal of neuroradiology · 2024
    Review
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

9 authors at 2 institutions in 1 country.

Xin LiuDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Fang WuDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiuqin JiaDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Huiyu QiaoCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China.
Yuehong LiuDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Xiaoxu YangDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Yingying LiDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Mengke ZhangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Qi YangDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Carotid atherosclerotic plaque inflammation plays a critical role in guiding the prevention of secondary stroke. Increased perivascular adipose tissue attenuation observed on computed tomography angiography (CTA) may indicate local inflammation. Our objective was to investigate whether pericarotid adipose tissue (PCAT), as a local inflammation biomarker, could distinguish between different stages of carotid atherosclerotic disease plaques. Methods: We prospectively enrolled 45 consecutive acute stroke patients with carotid artery stenosis from September 2019 to September 2021. We then matched them to non-stroke patients (n=67) and no carotid atherosclerotic disease controls (n=65) based on gender, age, and cardiovascular risk factors. We compared PCAT attenuation, carotid plaque features on CTA, clinical risk factors, and serum inflammatory factors across the different groups. To detect the association of PCAT attenuation with stage of carotid atherosclerotic disease, we used multivariable logistic regression analysis. Results: Patients with acute stroke had a higher PCAT attenuation (-78.80±11.62 HU) than patients with non-stroke (-89.01±10.81 HU, P<0.001) and no carotid atherosclerotic disease controls (-95.24±10.81 HU, P<0.001). PCAT attenuation was significantly increased in non-stroke patients compared to non-stroke patients over no carotid atherosclerotic disease controls (P=0.004). The association between PCAT attenuation and the stage of carotid atherosclerotic disease was independent of age, gender, cardiovascular risk factors, and CTA plaque characteristics. No interaction was observed between clinical features and CTA plaque characteristics on PCAT attenuation. Conclusions: PCAT attenuation, which is an imaging biomarker of local inflammation, independently distinguishes patients with different stages of carotid atherosclerotic disease. Quantitative evaluation of PCAT attenuation in carotid atherosclerotic disease is expected to guide targeted surgical treatment of carotid plaque.

Indexed as

adipose tissueCarotid atherosclerotic diseasecomputed tomography angiography (CTA)

Identifiers

PMID38106246
PMCPMC10722032
OpenAlexW4388973673

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LicenceCC BY-NC-ND
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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.