Evidence map›Paper›PMID 29898736›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2018

3D whole-brain vessel wall cardiovascular magnetic resonance imaging: a study on the reliability in the quantification of intracranial vessel dimensions.

Na Zhang, Fan Zhang, Zixin Deng, Qi Yang, Marcio A Diniz, Shlee S Song, Konrad H Schlick, M Marcel Maya, Nestor Gonzalez, Debiao Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. MR Intracranial Vessel Wall Imaging: A Systematic Review.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Pooled it
  3. Review
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  18. Assessment of carotid atherosclerotic disease using three-dimensional cardiovascular magnetic resonance vessel wall imaging: comparison with digital subtraction angiography.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Article
  19. Journal of Cardiovascular Magnetic Resonance: 2017/2018 in review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019
    Review
  20. Observational
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

13 authors at 4 institutions in 2 countries.

Na ZhangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Ave., Shenzhen University Town, Shenzhen, 518055, China.
Fan ZhangBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd., PACT 400, Los Angeles, CA, 90048, USA.
Zixin DengBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd., PACT 400, Los Angeles, CA, 90048, USA.
Qi YangBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd., PACT 400, Los Angeles, CA, 90048, USA.
Marcio A DinizBiostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Shlee S SongDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Konrad H SchlickDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
M Marcel MayaDepartment of Radiology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Nestor GonzalezDepartment of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Debiao LiBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd., PACT 400, Los Angeles, CA, 90048, USA.
Hairong ZhengPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Ave., Shenzhen University Town, Shenzhen, 518055, China.
Xin LiuPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Ave., Shenzhen University Town, Shenzhen, 518055, China. xin.liu@siat.ac.cn.
Zhaoyang FanBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd., PACT 400, Los Angeles, CA, 90048, USA. fanzhaoyang@gmail.com.
Cedars-Sinai Medical Center · USShenzhen University · CNShenzhen Institutes of Advanced Technology · CNUniversity of California, Los Angeles · US

Funding

Flow Sensitive SSFP for Non-Contrast MRA and Vessel Wall ImagingR01HL096119 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LI, DEBIAO · 2009 to 2018
$3.3M
NHLBI NIH HHS R01 HL096119
6 · The paper itself

Abstract

backgroundOne of the potentially important applications of three-dimensional (3D) intracranial vessel wall (IVW) cardiovascular magnetic resonance (CMR) is to monitor disease progression and regression via quantitative measurement of IVW morphology during medical management or drug development. However, a prerequisite for this application is to validate that IVW morphologic measurements based on the modality are reliable. In this study we performed comprehensive reliability analysis for the recently proposed whole-brain IVW CMR technique.

methodsThirty-four healthy subjects and 10 patients with known intracranial atherosclerotic disease underwent repeat whole-brain IVW CMR scans. In 19 of the 34 subjects, two-dimensional (2D) turbo spin-echo (TSE) scan was performed to serve as a reference for the assessment of vessel dimensions. Lumen and wall volume, normalized wall index, mean and maximum wall thickness were measured in both 3D and 2D IVW CMR images. Scan-rescan, intra-observer, and inter-observer reproducibility of 3D IVW CMR in the quantification of IVW or plaque dimensions were respectively assessed in volunteers and patients as well as for different healthy subjectsub-groups (i.e. < 50 and ≥ 50 years). The agreement in vessel wall and lumen measurements between the 3D technique and the 2D TSE method was also investigated. In addition, the sample size required for future longitudinal clinical studies was calculated.

resultsThe intra-class correlation coefficient (ICC) and Bland-Altman plots indicated excellent reproducibility and inter-method agreement for all morphologic measurements (All ICCs > 0.75). In addition, all ICCs of patients were equal to or higher than that of healthy subjects except maximum wall thickness. In volunteers, all ICCs of the age group of ≥50 years were equal to or higher than that of the age group of < 50 years. Normalized wall index and mean and maximum wall thickness were significantly larger in the age group of ≥50 years. To detect 5% - 20% difference between placebo and treatment groups, normalized wall index requires the smallest sample size while lumen volume requires the highest sample size.

conclusionsWhole-brain 3D IVW CMR is a reliable imaging method for the quantification of intracranial vessel dimensions and could potentially be useful for monitoring plaque progression and regression.

Indexed as

AdultAgedCase-Control StudiesCerebral AngiographyCerebral ArteriesDisease ProgressionFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalIntracranial ArteriosclerosisMagnetic Resonance AngiographyMaleMiddle AgedPlaque, AtheroscleroticPredictive Value of TestsIntracranial atherosclerotic diseaseIntracranial vessel wall morphologyMagnetic resonance imagingReliabilityVessel wall imagingWhole-brain

Identifiers

PMID29898736
PMCPMC6000985
OpenAlexW2808475909

What OpenQuestion 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 OpenQuestion graph.