• J Neuroimaging · Jul 2020

    Review

    MR Intracranial Vessel Wall Imaging: A Systematic Review.

    • Jae W Song, Brianna F Moon, Morgan P Burke, Srikant Kamesh Iyer, Mark A Elliott, Haochang Shou, Steven R Messé, Scott E Kasner, Laurie A Loevner, Mitchell D Schnall, John E Kirsch, Walter R Witschey, and Zhaoyang Fan.
    • Department of Radiology, University of Pennsylvania, Philadelphia, PA.
    • J Neuroimaging. 2020 Jul 1; 30 (4): 428-442.

    AbstractThe purpose of this systematic review is to identify trends and extent of variability in intracranial vessel wall MR imaging (VWI) techniques and protocols. Although variability in selection of protocol design and pulse sequence type is known, data on what and how protocols vary are unknown. Three databases were searched to identify publications using intracranial VWI. Publications were screened by predetermined inclusion/exclusion criteria. Technical development publications were scored for completeness of reporting using a modified Nature Reporting Summary Guideline to assess reproducibility. From 2,431 articles, 122 met the inclusion criteria. Trends over the last 23 years (1995-2018) show increased use of 3-Tesla MR (P < .001) and 3D volumetric T1-weighted acquisitions (P < .001). Most (65%) clinical VWI publications report achieving a noninterpolated in-plane spatial resolution of ≤.55 mm. In the last decade, an increasing number of technical development (n = 20) and 7 Tesla (n = 12) publications have been published, focused on pulse sequence development, improving cerebrospinal fluid suppression, scan efficiency, and imaging ex vivo specimen for histologic validation. Mean Reporting Summary Score for the technical development publications was high (.87, range: .63-1.0) indicating strong scientific technical reproducibility. Innovative work continues to emerge to address implementation challenges. Gradual adoption into the research and scientific community was suggested by a shift in the name in the literature from "high-resolution MR" to "vessel wall imaging," specifying diagnostic intent. Insight into current practices and identifying the extent of technical variability in the literature will help to direct future clinical and technical efforts to address needs for implementation.© 2020 American Society of Neuroimaging.

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