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Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions.

Authors :
Malik DG
Rath TJ
Urcuyo Acevedo JC
Canoll PD
Swanson KR
Boxerman JL
Quarles CC
Schmainda KM
Burns TC
Hu LS
Source :
Frontiers in radiology [Front Radiol] 2022 Apr 15; Vol. 2, pp. 809373. Date of Electronic Publication: 2022 Apr 15 (Print Publication: 2022).
Publication Year :
2022

Abstract

In the follow-up treatment of high-grade gliomas (HGGs), differentiating true tumor progression from treatment-related effects, such as pseudoprogression and radiation necrosis, presents an ongoing clinical challenge. Conventional MRI with and without intravenous contrast serves as the clinical benchmark for the posttreatment surveillance imaging of HGG. However, many advanced imaging techniques have shown promise in helping better delineate the findings in indeterminate scenarios, as posttreatment effects can often mimic true tumor progression on conventional imaging. These challenges are further confounded by the histologic admixture that can commonly occur between tumor growth and treatment-related effects within the posttreatment bed. This review discusses the current practices in the surveillance imaging of HGG and the role of advanced imaging techniques, including perfusion MRI and metabolic MRI.<br />Competing Interests: KSw was co-founder of Precision Oncology Insights, US Patent US8571844B2. KSc: financial interest—Imaging Biometrics LLC; ownership interest—IQ-AQ Ltd; ownership interest—Prism Clinical Imaging, Inc. LH: Imaging Biometrics (Medical Advisory Board); Precision Oncology Insights (co-founder), Bayer Pharmaceutical (paid speaker), US Patent Number 10,909,675. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Malik, Rath, Urcuyo Acevedo, Canoll, Swanson, Boxerman, Quarles, Schmainda, Burns and Hu.)

Details

Language :
English
ISSN :
2673-8740
Volume :
2
Database :
MEDLINE
Journal :
Frontiers in radiology
Publication Type :
Academic Journal
Accession number :
37492687
Full Text :
https://doi.org/10.3389/fradi.2022.809373