Evidence map›Paper›PMID 33768617›Full record

ArticleMagnetic resonance in medicine2021

Motion-compensated 3D turbo spin-echo for more robust MR intracranial vessel wall imaging.

Zhehao Hu, Andre van der Kouwe, Fei Han, Jiayu Xiao, Junzhou Chen, Hui Han, Xiaoming Bi, Debiao Li, Zhaoyang Fan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
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

9 authors.

Zhehao HuBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-5813-2925
Andre van der KouweAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Fei HanSiemens Medical Solutions USA, Inc., Los Angeles, California, USA.
Jiayu XiaoBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Junzhou ChenBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Hui HanBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Xiaoming BiSiemens Medical Solutions USA, Inc., Los Angeles, California, USA.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Zhaoyang FanBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-2693-0260

Funding

Longitudinal and quantitative MR plaque imaging for prediction of response to medical management in symptomatic intracranial atherosclerosisR01HL147355 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAN, ZHAOYANG · 2019 to 2023
$2.1M
NHLBI NIH HHS R01 HL147355
6 · The paper itself

Abstract

purpose(1) To investigate the effect of internal localized movement on 3DMR intracranial vessel wall imaging and (2) to develop a novel motion-compensation approach combining volumetric navigator (vNav) and self-gating (SG) to simultaneously compensate for bulk and localized movements.

methodsA 3D variable-flip-angle turbo spin-echo (ie, SPACE) sequence was modified to incorporate vNav and SG modules. The SG signals from the center k-space line are acquired at the beginning of each TR to detect localized motion-affected TRs. The vNavs from low-resolution 3D EPI are acquired to identify bulk head motion. Fifteen healthy subjects and 3 stroke patients were recruited in this study. Overall image quality (0-poor to 4-excellent) and vessel wall sharpness were compared among the scenarios with and without bulk and/or localized motion and/or the proposed compensation strategies.

resultsLocalized motion reduced wall sharpness, which was significantly mitigated by SG (ie, outer boundary of basilar artery: 0.68 ± 0.27 vs 0.86 ± 0.17; P = .037). When motion occurred, the overall image quality and vessel wall sharpness obtained with vNav-SG SPACE were significantly higher than those obtained with conventional SPACE (ie, basilarartery outer boundary sharpness: 0.73 ± 0.24 vs 0.94 ± 0.24; P = .033), yet comparable to those obtained in motion-free scans (ie, basilarartery outer boundary sharpness: 0.94 ± 0.24 vs 0.96 ± 0.31; P = .815).

conclusionLocalized movements can induce considerable artifacts in intracranial vessel wall imaging. The vNav-SG approach is capable of compensating for both bulk and localized motions.

Indexed as

Image EnhancementMagnetic Resonance AngiographyArtifactsHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMotionintracranial vessel wallmotion compensationself-gatingvessel wall imagingvolumetric navigators

Identifiers

PMID33768617
PMCPMC8189315

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.