Evidence map›Paper›PMID 38955951›Full record

ArticleEuropean radiology experimental2024

Detectability of intracranial vessel wall atherosclerosis using black-blood spectral CT: a phantom and clinical study.

Fan Zhang, Hui Yao, Eran Langzam, Qinglin Meng, Xiao Meng, Rob J van der Geest, Chuncai Luo, Tengyuan Zhang, Jianyong Li, Jianmei Xiong and 6 more

Abstract read
In one paragraph

Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

16 authors.

Fan ZhangDepartment of Radiology, Hainan Hospital of Chinese PLA General Hospital, Jianglin Road, Haitang District, Sanya, Hainan Province, 572013, China. fanzradiology@126.com.ORCID http://orcid.org/0000-0001-8278-335X
Hui YaoPhilips CT Clinical Science, Philips Healthcare Global, Beijing, China.
Eran LangzamPhilips Healthcare Global, Haifa, Israel.
Qinglin MengDepartment of Radiology, Hainan Hospital of Chinese PLA General Hospital, Jianglin Road, Haitang District, Sanya, Hainan Province, 572013, China.
Xiao MengSchool of Health Industry Management, University of Sanya, Sanya, Hainan Province, China.
Rob J van der GeestDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Chuncai LuoDepartment of Radiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Tengyuan ZhangDepartment of Neurology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China.
Jianyong LiDepartment of Neurology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China.
Jianmei XiongDepartment of Neurology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China.
Weiwei DengPhilips Healthcare China, Shanghai, China.
Ke ChenPhilips Healthcare China, Shanghai, China.
Yangrui ZhengDepartment of Neurosurgery, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China.
Jingping WuDepartment of Radiology, Hainan Hospital of Chinese PLA General Hospital, Jianglin Road, Haitang District, Sanya, Hainan Province, 572013, China.
Fang CuiDepartment of Neurology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China.
Li YangDepartment of Radiology, The Second Medical Center of Chinese PLA General Hospital, Beijing, China.

Funding

Hainan Provincial Natural Science Foundation of China 823RC518Key Project of the University of Sanya USYZD22-09Key Research and Development Project of Hainan Province ZDYF2024SHFZ055Special Program of Science and Technology for Colleges, Universities and Medical Institutions in Sanya 2021GXYL46
6 · The paper itself

Abstract

backgroundComputed tomography (CT) is the usual modality for diagnosing stroke, but conventional CT angiography reconstructions have limitations.

methodsA phantom with tubes of known diameters and wall thickness was scanned for wall detectability, wall thickness, and contrast-to-noise ratio (CNR) on conventional and spectral black-blood (SBB) images. The clinical study included 34 stroke patients. Diagnostic certainty and conspicuity of normal/abnormal intracranial vessels using SBB were compared to conventional. Sensitivity/specificity/accuracy of SBB and conventional were compared for plaque detectability. CNR of the wall/lumen and quantitative comparison of remodeling index, plaque burden, and eccentricity were obtained for SBB imaging and high-resolution magnetic resonance imaging (hrMRI).

resultsThe phantom study showed improved detectability of tube walls using SBB (108/108, 100% versus conventional 81/108, 75%, p < 0.001). CNRs were 75.9 ± 62.6 (mean ± standard deviation) for wall/lumen and 22.0 ± 17.1 for wall/water using SBB and 26.4 ± 15.3 and 101.6 ± 62.5 using conventional. Clinical study demonstrated (i) improved certainty and conspicuity of the vessels using SBB versus conventional (certainty, median score 3 versus 0; conspicuity, median score 3 versus 1 (p < 0.001)), (ii) improved sensitivity/specificity/accuracy of plaque (≥ 1.0 mm) detectability (0.944/0.981/0.962 versus 0.239/0.743/0.495) (p < 0.001), (iii) higher wall/lumen CNR of SBB of (78.3 ± 50.4/79.3 ± 96.7) versus hrMRI (18.9 ± 8.4/24.1 ± 14.1) (p < 0.001), and (iv) excellent reproducibility of remodeling index, plaque burden, and eccentricity using SBB versus hrMRI (intraclass correlation coefficient 0.85-0.94).

conclusionsSBB can enhance the detectability of intracranial plaques with an accuracy similar to that of hrMRI. RELEVANCE STATEMENT: This new spectral black-blood technique for the detection and characterization of intracranial vessel atherosclerotic disease could be a time-saving and cost-effective diagnostic step for clinical stroke patients. It may also facilitate prevention strategies for atherosclerosis. KEY POINTS: • Blooming artifacts can blur vessel wall morphology on conventional CT angiography. • Spectral black-blood (SBB) images are generated from material decomposition from spectral CT. • SBB images reduce blooming artifacts and noise and accurately detect small plaques.

Indexed as

Intracranial ArteriosclerosisPhantoms, ImagingAgedComputed Tomography AngiographyFemaleHumansMaleMiddle AgedSensitivity and SpecificityStrokeTomography, X-Ray ComputedArteriesAtherosclerosisComputed tomography angiographyPhantoms (imaging)Stroke

Identifiers

PMID38955951
PMCPMC11219652

What Socratic holds

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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 Socratic graph.