A Study of Knowledge and Attitude of Medical Staff Towards 3D Black Blood MR Angio Methods in High-Resolution Magnetic Resonance Vessel Wall Imaging of Intracranial Arteries

This study identified suboptimal knowledge and inconsistent attitudes toward intracranial HR-MRI among medical staff, with professional title, scanning experience, and prior HR-MRI exposure being key determinants. Addressing these gaps through competency-based credentialing and standardized protocol dissemination is critical to realizing HR-MRI's clinical potential in cerebrovascular care.

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Publication Details

Journal
Journal of Multidisciplinary Healthcare
Published
2025-04-01
DOI
https://doi.org/10.2147/jmdh.s504170
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
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article

A Study of Knowledge and Attitude of Medical Staff Towards 3D Black Blood MR Angio Methods in High-Resolution Magnetic Resonance Vessel Wall Imaging of Intracranial Arteries

Lijuan Dai, Xi Tian, Cheng Li, Yang Li et al.
Journal of Multidisciplinary Healthcare
Brain Tumor Detection and Classification
article

A Study of Knowledge and Attitude of Medical Staff Towards 3D Black Blood MR Angio Methods in High-Resolution Magnetic Resonance Vessel Wall Imaging of Intracranial Arteries

Lijuan Dai, Xi Tian, Cheng Li, Yang Li, Gang Wu
article en

Abstract

This study identified suboptimal knowledge and inconsistent attitudes toward intracranial HR-MRI among medical staff, with professional title, scanning experience, and prior HR-MRI exposure being key determinants. Addressing these gaps through competency-based credentialing and standardized protocol dissemination is critical to realizing HR-MRI's clinical potential in cerebrovascular care.

Journal of Multidisciplinary HealthcareVol. Volume 18
Hebei Medical University (CN), Beijing University of Chinese Medicine (CN), Peking University (CN), Fourth Hospital of Hebei Medical University (CN), Peking University Sixth Hospital (CN)
Openalex Percentile: Top 90%
Brain Tumor Detection and Classification
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