Multisite Benchmark Study for Standardized Relative CBV in Untreated Brain Metastases Using the DSC-MRI Consensus Acquisition Protocol

Using the consensus DSC-MRI protocol, mean srCBV values were determined for treatment-naïve brain metastases in comparison to normal-appearing white matter and GBM thus setting the benchmark for all subsequent studies adherent to the national consensus recommendation.

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Publication Details

Journal
American Journal of Neuroradiology
Published
2024-10-10
DOI
https://doi.org/10.3174/ajnr.a8531
Citations
1
Primary Topic
MRI in cancer diagnosis
Type
article
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article

Multisite Benchmark Study for Standardized Relative CBV in Untreated Brain Metastases Using the DSC-MRI Consensus Acquisition Protocol

Mark S. Shiroishi, Frank J. Attenello, Kathleen M. Schmainda, Min J. Kong et al.
1 citations
American Journal of Neuroradiology
MRI in cancer diagnosis
article

Multisite Benchmark Study for Standardized Relative CBV in Untreated Brain Metastases Using the DSC-MRI Consensus Acquisition Protocol

Mark S. Shiroishi, Frank J. Attenello, Kathleen M. Schmainda, Min J. Kong, Leland Hu, Daniel Phung, Melissa Prah, Jesse Mendoza, Javier Urcuyo, Yuxiang Zhou, Jason Ye, Sarah Kohn Loizzo
article en
1 citations

Abstract

Using the consensus DSC-MRI protocol, mean srCBV values were determined for treatment-naïve brain metastases in comparison to normal-appearing white matter and GBM thus setting the benchmark for all subsequent studies adherent to the national consensus recommendation.

American Journal of NeuroradiologyVol. 46(3)
University of Southern California (US), Medical College of Wisconsin (US), Keck Hospital of USC (US), Marina Del Rey Hospital (US), Mayo Clinic in Arizona (US), Mayo Clinic Hospital (US), Neurological Surgery (US)
Openalex Percentile: Top 70%
MRI in cancer diagnosis
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Multisite Benchmark Study for Standardized Relative CBV in Untreated Brain Metastases Using the DSC-MRI Consensus Acquisition Protocol — Mark S. Shiroishi, Frank J. Attenello, et al. · American Journal of Neuroradiology (2024) | TGRS Research Map | TGRS