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@ARTICLE{Otazo:166583,
      author       = {R. Otazo and P. Lambin and J.-P. Pignol and M. E. Ladd$^*$
                      and H.-P. Schlemmer$^*$ and M. Baumann$^*$ and H. Hricak},
      title        = {{MRI}-guided {R}adiation {T}herapy: {A}n {E}merging
                      {P}aradigm in {A}daptive {R}adiation {O}ncology.},
      journal      = {Radiology},
      volume       = {298},
      number       = {2},
      issn         = {1527-1315},
      address      = {Oak Brook, Ill.},
      publisher    = {Soc.},
      reportid     = {DKFZ-2020-03026},
      pages        = {248-260},
      year         = {2021},
      note         = {2021 Feb;298(2):248-260},
      abstract     = {Radiation 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.},
      subtyp        = {Review Article},
      cin          = {E020 / E220},
      ddc          = {610},
      cid          = {I:(DE-He78)E020-20160331 / I:(DE-He78)E220-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33350894},
      doi          = {10.1148/radiol.2020202747},
      url          = {https://inrepo02.dkfz.de/record/166583},
}