Evidence map›Paper›PMID 37652689›Full record

ReviewJournal of neurointerventional surgery2024

Report from the society of magnetic resonance angiography: clinical applications of 7T neurovascular MR in the assessment of intracranial vascular disease.

Binbin Sui, Bhagya Sannananja, Chengcheng Zhu, Niranjan Balu, Laura Eisenmenger, Hediyeh Baradaran, Myriam Edjlali, Javier M Romero, Prabakhar Shantha Rajiah, Rui Li and 1 more

Open access · greenAbstract readReview
In one paragraph

Review in Journal of neurointerventional surgery, 2024. 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
2.8field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Cerebrovascular morphology: Insights into normal variations, aging effects and disease implications.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Review
  5. Review
  6. Article
  7. Time-of-flight MRA of intracranial vessels at 7 T.European radiology experimental · 2024
    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

11 authors at 7 institutions in 3 countries.

Binbin SuiTiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing, China mmossab@uw.edu reneesui@163.com.
Bhagya SannananjaDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
Chengcheng ZhuDepartment of Radiology, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0001-6898-549X
Niranjan BaluDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Laura EisenmengerRadiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID http://orcid.org/0000-0001-6764-4239
Hediyeh BaradaranDepartment of Radiology & Imaging Sciences, University of Utah, Salt Lake City, Utah, USA.
Myriam EdjlaliNeuroradiology, Hospital Saint Anne, Paris, France.
Javier M RomeroDepartment of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Prabakhar Shantha RajiahRadiology, Mayo Clinic Minnesota, Rochester, Minnesota, USA.
Rui LiCenter for Biomedical Imaging Research, Tsinghua University, Beijing, China.
Mahmud Mossa-BashaDepartment of Radiology, University of Washington, Seattle, Washington, USA mmossab@uw.edu reneesui@163.com.ORCID http://orcid.org/0000-0001-7798-8158
University of Washington · USEmory University · USMayo Clinic · USUniversity of Wisconsin–Madison · USHarvard University · USNational Clinical Research Center for Digestive Diseases · CNUniversity of Utah · US

Funding

Quantitative model-based ESUS reclassification using cardiac and cerebral vessel wall MRIR01NS125635 · NINDS · UNIVERSITY OF WASHINGTON · PI AKOUM, NAZEM, MOSSA-BASHA, MAHMUD · 2022 to 2025
$3.0M
NINDS NIH HHS R01 NS125635
6 · The paper itself

Abstract

In recent years, ultra-high-field magnetic resonance imaging (MRI) applications have been rapidly increasing in both clinical research and practice. Indeed, 7-Tesla (7T) MRI allows improved depiction of smaller structures with high signal-to-noise ratio, and, therefore, may improve lesion visualization, diagnostic capabilities, and thus potentially affect treatment decision-making. Incremental evidence emerging from research over the past two decades has provided a promising prospect of 7T magnetic resonance angiography (MRA) in the evaluation of intracranial vasculature. The ultra-high resolution and excellent image quality of 7T MRA allow us to explore detailed morphological and hemodynamic information, detect subtle pathological changes in early stages, and provide new insights allowing for deeper understanding of pathological mechanisms of various cerebrovascular diseases. However, along with the benefits of ultra-high field strength, some challenges and concerns exist. Despite these, ongoing technical developments and clinical oriented research will facilitate the widespread clinical application of 7T MRA in the near future. In this review article, we summarize technical aspects, clinical applications, and recent advances of 7T MRA in the evaluation of intracranial vascular disease. The aim of this review is to provide a clinical perspective for the potential application of 7T MRA for the assessment of intracranial vascular disease, and to explore possible future research directions implementing this technique.

Indexed as

Cerebrovascular DisordersMagnetic Resonance AngiographyHumansmagnetic resonance angiographyMRIstrokevessel wall

Identifiers

PMID37652689
PMCPMC10902184
OpenAlexW4386324240

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.