Evidence map›Paper›PMID 38789121›Full record

ArticleAJNR. American journal of neuroradiology2024

Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin-Labeling MR Angiography.

Kaiyu Zhang, Halit Akcicek, Gen Shi, Gador Canton, Josh Liu, Yin Guo, Xin Wang, Li Chen, Kristi D Pimentel, Ebru Yaman Akcicek and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. 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

18 authors.

Kaiyu ZhangFrom the Department of Bioengineering (K.Z., J.L., Y.G., C.Y.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0001-7208-3114
Halit AkcicekDepartment of Radiology and Imaging Sciences (H.A., E.Y.A., C.Y.), University of Utah, Salt Lake City, Utah.ORCID 0009-0006-4341-1856
Gen ShiSchool of Engineering Medicine and School of Biological Science and Medical Engineering (G.S.), Beihang University, Beijing, China.ORCID 0000-0002-1717-4053
Gador CantonDepartment of Electrical and Computer Engineering (G.C., X.W., L.C.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-0594-2764
Josh LiuFrom the Department of Bioengineering (K.Z., J.L., Y.G., C.Y.), University of Washington, Seattle, WA, United States of America.ORCID 0009-0009-2517-9565
Yin GuoFrom the Department of Bioengineering (K.Z., J.L., Y.G., C.Y.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-6006-9849
Xin WangDepartment of Electrical and Computer Engineering (G.C., X.W., L.C.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0001-9546-6038
Li ChenDepartment of Electrical and Computer Engineering (G.C., X.W., L.C.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0003-0233-4576
Kristi D PimentelDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-1042-6852
Ebru Yaman AkcicekDepartment of Radiology and Imaging Sciences (H.A., E.Y.A., C.Y.), University of Utah, Salt Lake City, Utah.ORCID 0000-0002-2413-0542
Xihe TangDepartment of Neurosurgery (X.T., Y.J.), Aviation General Hospital of China Medical University, Beijing, China.
Yongjian JinDepartment of Neurosurgery (X.T., Y.J.), Aviation General Hospital of China Medical University, Beijing, China.
Xuesong LiSchool of Computer Science and Technology (X.L.), Beijing Institute of Technology, Beijing, China.ORCID 0000-0003-1570-277X
Niranjan BaluDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-1489-6683
Thomas S HatsukamiDepartment of Surgery (T.S.H.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-0129-5846
Mahmud Mossa-BashaDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0001-7798-8158
Zhensen ChenDepartment of Radiology (K.D.P., N.B., M.M.-B., Z.C., C.Y.), University of Washington, Seattle, WA, United States of America zhensenchen@fudan.edu.cn.ORCID 0000-0001-7975-2528
Chun YuanFrom the Department of Bioengineering (K.Z., J.L., Y.G., C.Y.), University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-6154-5106

Funding

Carotid Intraplaque Hemorrhage: MRI of Therapeutic Response and Clinical SequelaeR01HL103609 · NHLBI · UNIVERSITY OF WASHINGTON · PI HATSUKAMI, THOMAS, YUAN, CHUN · 2011 to 2021
$7.1M
NHLBI NIH HHS R01 HL103609
6 · The paper itself

Abstract

background and purposeThe circle of Willis (COW) is a crucial mechanism for cerebral collateral circulation. This proof-of-concept study aims to develop and assess an analysis method to characterize the hemodynamics of the arterial segments in the COW by using arterial spin-labeling (ASL) based non-contrast-enhanced dynamic MR angiography (dMRA). MATERIALS AND

methodsThe developed analysis method uses a graph model, bootstrap strategy, and ensemble learning methodologies to determine the time curve shift from ASL dMRA to estimate the flow direction within the COW. The performance of the method was assessed on 52 subjects, by using the flow direction, either antegrade or retrograde, derived from 3D phase-contrast MR imaging as the reference.

resultsA total of 340 arterial segments in the COW were evaluated, among which 30 (8.8%) had retrograde flow according to 3D phase-contrast MRI. The ASL dMRA-based flow direction estimation has an accuracy, sensitivity, and specificity of 95.47%, 80%, and 96.34%, respectively.

conclusionsUsing ASL dMRA and the developed image analysis method to estimate the flow direction in COW is feasible. This study provides a new method to assess the hemodynamics of the COW, which could be useful for the diagnosis and study of cerebrovascular diseases.

Indexed as

Cerebrovascular CirculationCircle of WillisMagnetic Resonance AngiographySpin LabelsAdultFemaleHemodynamicsHumansImaging, Three-DimensionalMaleMiddle AgedProof of Concept StudySensitivity and SpecificityYoung AdultSpin Labels

Identifiers

PMID38789121
PMCPMC11448990

What OpenQuestion holds

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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.