Evidence map›Paper›PMID 37736805›Full record

ArticleEuropean radiology2024

A novel method of carotid artery wall imaging: black-blood CT.

Yao Lu, Ruoyao Cao, Sheng Jiao, Ling Li, Chao Liu, Hailong Hu, Zhuangfei Ma, Yun Jiang, Juan Chen

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2024. 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 10% 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, 10 citations in OpenAlex.

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  6. Carotid plaque characteristics by computed Tomography: A diagnostic accuracy systematic review.International journal of cardiology. Heart & vasculature · 2025
    Review
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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.

Yao LuThe Key Laboratory of Geriatrics, Beijing Institute of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, People's Republic of China.
Ruoyao CaoDepartment of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No.1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Sheng JiaoDepartment of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No.1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Ling LiDepartment of Radiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People's Republic of China.
Chao LiuDepartment of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No.1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Hailong HuDepartment of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No.1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Zhuangfei MaCT Clinical Research Department, CT Business Unit, Canon Medical Systems (China) CO., LTD., Beijing, People's Republic of China.
Yun JiangDepartment of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Juan ChenDepartment of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No.1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China. 13521566485@163.com.ORCID http://orcid.org/0000-0002-5261-830X
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CN

Funding

2020 Beijing Hospital National Natural Science Foundation of China Preliminary Research Project BJ -2020-1312020 SKY Imaging Research Fund of the Chinese Intemational Medical Foundation Z -2014-07-2003-022023 National High Level Hospital Clinical Research Funding BJ-2023-076Fundamental Research Funds for the Central Universities 3332022168
6 · The paper itself

Abstract

objectivesTo evaluate the application of black-blood CT (BBCT) in carotid artery wall imaging and its accuracy in disclosing stenosis rate and plaque burden of carotid artery.

methodsA total of 110 patients underwent contrast-enhanced CT scan with two phases, and BBCT images were obtained using contrast-enhancement (CE)-boost technology. Two radiologists independently scored subjective image quality on black-blood computerized tomography (BBCT) images using a 4-point scale and then further analyzed plaque types. The artery stenosis rate on BBCT was measured and compared with CTA. The plaque burden on BBCT was compared with that on high-resolution intracranial vessel wall MR imaging (VW-MR imaging). The kappa value and intraclass correlation coefficient (ICC) were used for consistency analysis. The diagnostic accuracy of BBCT for stenosis rate and plaque burden greater than 50% was evaluated by AUC.

resultsThe subjective image quality scores of BBCT had good consistency between the two readers (ICC = 0.836, p < 0.001). BBCT and CTA had a good consistency in the identification of stenosis rate (p < 0.001). There was good consistency between BBCT and VW-MR in diagnosis of plaque burden (p < 0.001). As for plaque burden over 50%, BBCT had good sensitivity (93.10%) and specificity (73.33%), with an AUC of 0.950 (95%CI 0.838-0.993). Compared with CTA, BBCT had higher consistency with VW-MR in disclosing low-density plaques and mixed plaques (ICC = 0.931 vs 0.858, p < 0.001).

conclusionsBBCT can not only display the carotid artery wall clearly but also accurately diagnose the stenosis rate and plaque burden of carotid artery. CLINICAL RELEVANCE STATEMENT: Black-blood CT, as a novel imaging technology, can assist clinicians and radiologists in better visualizing the structure of the vessel wall and plaques, especially for patients with contraindication to MRI. KEY POINTS: • Black-blood CT can clearly visualize the carotid artery wall and plaque burden. • Black-blood CT is superior to conventional CTA with more accurate diagnosis of the carotid stenosis rate and plaque burden features.

Indexed as

Carotid StenosisPlaque, AtheroscleroticCarotid ArteriesConstriction, PathologicHumansMagnetic Resonance AngiographyTomography, X-Ray ComputedCarotid artery plaqueComputed tomography angiographyMagnetic resonance imagingSubtraction technique

Identifiers

PMID37736805
PMCPMC10957584
OpenAlexW4386944932

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LicenceCC BY
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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.