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000166583 1001_ $$00000-0002-3782-4930$$aOtazo, Ricardo$$b0
000166583 245__ $$aMRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology.
000166583 260__ $$aOak Brook, Ill.$$bSoc.$$c2021
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000166583 520__ $$aRadiation therapy (RT) continues to be one of the mainstays of cancer treatment. Considerable efforts have been recently devoted to integrating MRI into clinical RT planning and monitoring. This integration, known as MRI-guided RT, has been motivated by the superior soft-tissue contrast, organ motion visualization, and ability to monitor tumor and tissue physiologic changes provided by MRI compared with CT. Offline MRI is already used for treatment planning at many institutions. Furthermore, MRI-guided linear accelerator systems, allowing use of MRI during treatment, enable improved adaptation to anatomic changes between RT fractions compared with CT guidance. Efforts are underway to develop real-time MRI-guided intrafraction adaptive RT of tumors affected by motion and MRI-derived biomarkers to monitor treatment response and potentially adapt treatment to physiologic changes. These developments in MRI guidance provide the basis for a paradigm change in treatment planning, monitoring, and adaptation. Key challenges to advancing MRI-guided RT include real-time volumetric anatomic imaging, addressing image distortion because of magnetic field inhomogeneities, reproducible quantitative imaging across different MRI systems, and biologic validation of quantitative imaging. This review describes emerging innovations in offline and online MRI-guided RT, exciting opportunities they offer for advancing research and clinical care, hurdles to be overcome, and the need for multidisciplinary collaboration.
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000166583 7001_ $$00000-0001-7961-0191$$aLambin, Philippe$$b1
000166583 7001_ $$00000-0002-0253-8520$$aPignol, Jean-Philippe$$b2
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000166583 7001_ $$0P:(DE-He78)933f7d725ac87378f459623783585a1f$$aBaumann, Michael$$b5$$udkfz
000166583 7001_ $$00000-0003-2240-9694$$aHricak, Hedvig$$b6
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