Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions
- PMID: 37492687
- PMCID: PMC10365126
- DOI: 10.3389/fradi.2022.809373
Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions
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.
Keywords: MRI; advanced; glioblastoma; metabolic; perfusion; post-treatment; response assessment.
Copyright © 2022 Malik, Rath, Urcuyo Acevedo, Canoll, Swanson, Boxerman, Quarles, Schmainda, Burns and Hu.
Conflict of interest statement
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.
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- National Comprehensive Cancer Network . Central Nervous System Cancers. (Version 2.2021). Available online at: https://www.nccn.org/professionals/physician_gls/pdf/cns.pdf (accessed October 7, 2021).
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