Evidence map›Paper›PMID 36726752›Full record

ArticleFrontiers in neurology2022

Use of PETRA-MRA to assess intracranial arterial stenosis: Comparison with TOF-MRA, CTA, and DSA.

Junxia Niu, Yuncai Ran, Rui Chen, Feifei Zhang, Xiaowen Lei, Xiao Wang, Tengfei Li, Jinxia Zhu, Yong Zhang, Jingliang Cheng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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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

12 authors at 4 institutions in 2 countries.

Junxia NiuDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuncai RanDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Rui ChenDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Feifei ZhangDepartment of Magnetic Resonance, Pingmei Shenma Medical Group General Hospital, Pingdingshan, China.
Xiaowen LeiDepartment of Magnetic Resonance, Xuchang Central Hospital, Xuchang, China.
Xiao WangDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tengfei LiDepartment of Intervention, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jinxia ZhuMR Collaboration, Siemens Healthineers Ltd., Beijing, China.
Yong ZhangDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jingliang ChengDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yan ZhangDepartment of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chengcheng ZhuDepartment of Radiology, University of Washington, Seattle, WA, United States.
First Affiliated Hospital of Zhengzhou University · CNUniversity of Washington · USSiemens (China) · CNXuzhou Central Hospital · CN

Funding

Investigation of the quantitative intracranial aneurysm wall enhancement and geometric features associated with aneurysm volume growthR01HL162743 · NHLBI · UNIVERSITY OF WASHINGTON · PI Chengcheng Zhu · 2022 to 2026
$2.4M
Characterization of intracranial vessel wall morphology and inflammation using 3D high resolution MRIR00HL136883 · NHLBI · UNIVERSITY OF WASHINGTON · PI ZHU, CHENGCHENG · 2020 to 2022
$747k
NHLBI NIH HHS R00 HL136883NHLBI NIH HHS R01 HL162743
6 · The paper itself

Abstract

Background and purpose: Non-invasive and accurate assessment of intracranial arterial stenosis (ICAS) is important for the evaluation of intracranial atherosclerotic disease. This study aimed to evaluate the performance of 3D pointwise encoding time reduction magnetic resonance angiography (PETRA-MRA) and compare its performance with that of 3D time-of-flight (TOF) MRA and computed tomography angiography (CTA), using digital subtraction angiography (DSA) as the reference standard in measuring the degree of stenosis and lesion length. Materials and methods: This single-center, prospective study included a total of 52 patients (mean age 57 ± 11 years, 27 men, 25 women) with 90 intracranial arterial stenoses who underwent PETRA-MRA, TOF-MRA, CTA, and DSA within 1 month. The degree of stenosis and lesion length were measured independently by two radiologists on these four datasets. The degree of stenosis was classified according to DSA measurement. Severe stenosis was defined as a single lesion with >70% diameter stenosis. The smaller artery stenosis referred to the stenosis, which occurred at the anterior cerebral artery, middle cerebral artery, and posterior cerebral artery, except for the first segment of them. The continuous variables were compared using paired Results: The four imaging methods exhibited excellent inter-reader agreement [intraclass correlation coefficients (ICCs) > 0.80]. PETRA-MRA was more consistent with DSA than with TOF-MRA and CTA in measuring the degree of stenosis (ICC = 0.94 vs. 0.79 and 0.89) and lesion length (ICC = 0.99 vs. 0.97 and 0.73). PETRA-MRA obtained the highest specificity and positive predictive value (PPV) than TOF-MRA and CTA for detecting stenosis of >50% and stenosis of >75%. TOF-MRA and CTA overestimated considerably the degree of stenosis compared with DSA (63.0% ± 15.8% and 61.0% ± 18.6% vs. 54.0% ± 18.6%, Conclusion: PETRA-MRA is more accurate than TOF-MRA and CTA for the evaluation of intracranial stenosis and lesion length when using DSA as a reference standard. PETRA-MRA is a promising non-invasive tool for ICAS assessment.

Indexed as

3D time-of-flight magnetic resonance angiographycomputed tomography angiographydigital subtraction angiographyintracranial arterial stenosispointwise encoding time reduction magnetic resonance angiography

Identifiers

PMID36726752
PMCPMC9884682
OpenAlexW4316664936

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.