Evidence map›Paper›PMID 42069305›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance

In vivo atherosclerotic plaque characterization using 7T quantitative T2*mapping distinguishes symptomatic middle cerebral artery plaques.

Xiaoyan Bai, Ziming Xu, Tong Chen, Zhiye Li, Yi Ju, Xingquan Zhao, Qingle Kong, Zhe Zhang, Xue Zhang, Xun Pei and 5 more

Abstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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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

15 authors.

Xiaoyan BaiDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China; Tiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ziming XuCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Tong ChenTiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhiye LiTiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yi JuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xingquan ZhaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qingle KongDepartment of Radiology, University of Southern California, Los Angeles, California, USA.
Zhe ZhangTiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xue ZhangTiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xun PeiTiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuanbin ZhaoTiantan Neuroimaging Center for Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yajie WangCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Jiaqi DouCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Binbin SuiDepartment of Radiology, Beijing Hospital, Beijing, China. Electronic address: reneesui@163.com.
Huijun ChenCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China. Electronic address: chenhj_cbir@mail.tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntraplaque T2* values help to identify symptomatic carotid plaques and correlate with intraplaque iron deposits in plaque progression. However, intracranial T2* mapping in vivo at 3T magnetic resonance imaging (MRI) is challenging due to limited resolution and signal-to-noise ratio. This study aimed to quantitatively measure T2* value of middle cerebral artery (MCA) atherosclerotic plaques using 7T MRI and to assess its correlation with cerebrovascular symptoms.

methodsPhantom studies were performed to evaluate the accuracy of T2* mapping obtained with the proposed sequence by comparison with the ground truth acquisition. In the in vivo study, intraplaque T2* values obtained from multi-echo T2* mapping and plaque characteristics from T1-weighted three-dimensional (3D) sampling perfection with application-optimized contrast using different flip angle evolutions sequence on 7T MRI were analyzed and compared between patients with symptomatic and asymptomatic MCA plaques. Multivariate logistic regression was used to determine the odds ratios of T2* values and plaque characteristics in discriminating symptomatic from asymptomatic plaques. Diagnostic performance was evaluated using area under the curve (AUC) values. Correlation analyses were performed between T2* values and intraplaque hemorrhage (IPH).

resultsPhantom T2* measurements using the proposed sequence showed excellent agreement with the ground truth sequence (ICC=0.998, p<0.001), with a mean percentage error of 3.97 ± 3.11%. The clinical cohort of this prospective cross-sectional study included 39 symptomatic patients with MCA plaques and 21 age-, sex-, and stenosis degree-matched asymptomatic patients. Scan-rescan reproducibility of T2* mapping was excellent (p<0.001). Symptomatic plaques had significantly lower T2* values than asymptomatic plaques (22.24±5.31 vs. 30.24±7.00 ms, p<0.001). In multivariate analysis, intraplaque T2* values (OR: 0.162, 95% CI: 0.053-0.497, p=0.001) and normalized wall index (NWI) (OR: 2.150, 95% CI: 1.041-4.443, p=0.039) were independently associated with symptomatic plaques. The optimal combination of T2* values and NWI showed the best diagnostic performance (AUC=0.861, 95% CI:0.747-0.937), with 94.9% sensitivity and 66.7% specificity. T2* values were negatively correlated with and IPH (r=-0.290, p=0.027) after age- and sex- adjustments. DISCUSSION: The feasibility of intracranial T2*mapping in vivo on 7T MRI has been proven, indicating its potential as a sensitive tool for characterizing intracranial symptomatic plaques.

Indexed as

Intracranial ArteriosclerosisMagnetic Resonance AngiographyMagnetic Resonance ImagingMiddle Cerebral ArteryPlaque, AtheroscleroticAgedArea Under CurveFemaleHumansImage Interpretation, Computer-AssistedLogistic ModelsMaleMiddle AgedOdds RatioPhantoms, ImagingPredictive Value of TestsMiddle cerebral arterySymptomatic plaqueT2*mappingUltrahigh field magnetic resonance imagingVessel-wall imaging

Identifiers

PMID42069305
PMCPMC13265424

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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.