Citations 2
Integrating multi-modal imaging in radiation treatments for glioblastoma
Breen, William G. , Cao, Yue , Kim, Michelle M. , Kim, Michelle M , Aryal, Madhava P.
Neuro-Oncology | March 4, 2024 | Volume: 26 | Issue: Supplement_1 | Pages: S17-S25
Abstract Advances in diagnostic and treatment technology along with rapid developments in translational research may now allow the realization of precision radiotherapy. Integration of biologically informed multimodality imaging to address the spatial and temporal heterogeneity underlying treatment resistance in glioblastoma is now possible for patient care, with evidence of safety and potential benefit. Beyond their diagnostic utility, several candidate imaging biomarkers have emerged in recent early-phase clinical trials of biologically based radiotherapy, and their definitive assessment in multicenter prospective trials is already in development. In this review, the rationale for clinical implementation of candidate advanced magnetic resonance imaging and positron emission tomography imaging biomarkers to guide personalized radiotherapy, the current landscape, and future directions for integrating imaging biomarkers into radiotherapy for glioblastoma are summarized. Moving forward, response-adaptive radiotherapy using biologically informed imaging biomarkers to address emerging treatment resistance in rational combination with novel systemic therapies may ultimately permit improvements in glioblastoma outcomes and true individualization of patient care.
The Use of Magnetic Resonance Imaging in Radiation Therapy Treatment Simulation and Planning
McGee, Kiaran P. , Yu, Victoria , Witte, Robert J. , Kishan, Amar U. , Valle, Luca , Wiesinger, Florian , De‐Colle, Chiara , Cao, Yue , Breen, William G. , Traughber, Bryan J, McGee, Kiaran , Cao, Minsong , Das, Indra J. , Traughber, Bryan
Journal of Magnetic Resonance Imaging | January 24, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available
Ever since its introduction as a diagnostic imaging tool the potential of magnetic resonance imaging (MRI) in radiation therapy (RT) treatment simulation and planning has been recognized. Recent technical advances have addressed many of the impediments to use of this technology and as a result have resulted in rapid and growing adoption of MRI in RT. The purpose of this article is to provide a broad review of the multiple uses of MR in the RT treatment simulation and planning process, identify several of the most used clinical scenarios in which MR is integral to the simulation and planning process, highlight existing limitations and provide multiple unmet needs thereby highlighting opportunities for the diagnostic MR imaging community to contribute and collaborate with our oncology colleagues.Evidence Level5Technical EfficacyStage 5