Evidence map›Paper›PMID 40473073›Full record

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

Three-dimensional joint bright, gray, and black blood magnetic resonance imaging technique for multi-parametric imaging of carotid artery: A feasibility and repeatability study.

Ning Xu, Shuo Chen, Ziming Xu, Zihan Ning, Shuwan Yu, Guimei Liu, Tao Wang, Yanbo Ma, Xiaomei Sun, Xiufeng Meng and 5 more

Abstract readValidation Study
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ning XuCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Shuo ChenCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Ziming XuCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Zihan NingCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China; Imaging Physics and Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom.
Shuwan YuCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Guimei LiuDepartment of Ultrasound, Tsinghua University Hospital, Tsinghua University, Beijing, China.
Tao WangDepartment of Neurosurgery, Peking University Third Hospital, Beijing, China.
Yanbo MaDepartment of Ultrasound, Tsinghua University Hospital, Tsinghua University, Beijing, China.
Xiaomei SunDepartment of Ultrasound, Tsinghua University Hospital, Tsinghua University, Beijing, China.
Xiufeng MengDepartment of Ultrasound, Tsinghua University Hospital, Tsinghua University, Beijing, China.
Yazheng ChenDepartment of Ultrasound, Tsinghua University Hospital, Tsinghua University, Beijing, China.
Jiachen LiuCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Qinxin WangCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Huiyu QiaoSchool of Biomedical Engineering, Capital Medical University, Beijing, China. Electronic address: [email protected].
Xihai ZhaoCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China. Electronic address: [email protected].

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMulti-parametric imaging of the carotid artery enables quantitative characterization of vulnerable atherosclerotic plaques, which is crucial for preventing ischemic stroke. However, the existing sequential acquisition-based multi-parametric imaging techniques of carotid artery lack bright blood imaging, which is essential for plaque components identification and boundary delineation. This study aims to develop a joint bright, gray, and black blood imaging technique for carotid artery multi-parametric imaging and validate its accuracy and feasibility.

methodsThe proposed technique incorporated variable flip angles, variable duration of improved motion-sensitized driven equilibrium prepulse, and variable time of echo mapping strategies with three-dimensional multi-shot spoiled gradient-recalled echo acquisition, generating T1, T2, and T2* maps. Bright, gray, and black blood images were sequentially acquired in six scans covering the entire extracranial artery with isotropic resolution (0.7 mm) when natural inflow blood enhancement and imposed blood suppression module were alternatively performed. A B1-specific dictionary was simulated and matched to the measured signal for T1 and T2 estimation while least square fitting was applied for T2* estimation. The proposed technique was compared against reference sequences and validated in healthy volunteers (n = 8) and patients (n = 4) with carotid atherosclerotic plaques.

resultsThe proposed technique achieved an agreement of R

conclusionThe proposed technique enables joint bright, gray, and black blood imaging technique for carotid artery multi-parametric imaging with large coverage and isotropic resolution, indicating clinical potential for comprehensive characterization of carotid vulnerable plaque.

Indexed as

Carotid ArteriesCarotid Artery DiseasesImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance AngiographyMultiparametric Magnetic Resonance ImagingAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticPredictive Value of TestsReproducibility of ResultsCarotid arteryMagnetic resonance imagingMulti-parametric imagingVessel wall imagingVulnerable plaque

Identifiers

PMID40473073
PMCPMC13237543

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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.