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Real-time motion management in MRI-guided radiotherapy: Current status and AI-enabled prospects.
Lombardo, Elia; Dhont, Jennifer; Page, Denis; Garibaldi, Cristina; Künzel, Luise A; Hurkmans, Coen; Tijssen, Rob H N; Paganelli, Chiara; Liu, Paul Z Y; Keall, Paul J; Riboldi, Marco; Kurz, Christopher; Landry, Guillaume; Cusumano, Davide; Fusella, Marco; Placidi, Lorenzo.
Afiliación
  • Lombardo E; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
  • Dhont J; Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Department of Medical Physics, Brussels, Belgium; Université Libre De Bruxelles (ULB), Radiophysics and MRI Physics Laboratory, Brussels, Belgium.
  • Page D; University of Manchester, Division of Cancer Sciences, Manchester, United Kingdom.
  • Garibaldi C; IEO, Unit of Radiation Research, European Institute of Oncology IRCCS, Milan, Italy.
  • Künzel LA; National Center for Tumor Diseases (NCT), Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany; Dep
  • Hurkmans C; Department of Radiation Oncology, Catharina Hospital, Eindhoven, the Netherlands.
  • Tijssen RHN; Department of Radiation Oncology, Catharina Hospital, Eindhoven, the Netherlands.
  • Paganelli C; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
  • Liu PZY; Image X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia; Department of Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, NSW, Australia.
  • Keall PJ; Image X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia; Department of Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, NSW, Australia.
  • Riboldi M; Department of Medical Physics, Faculty of Physics, LMU Munich, Munich, Germany.
  • Kurz C; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
  • Landry G; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), Partner Site Munich, a Partnership between DKFZ and LMU University Hospital Munich, Germany; Bavarian Cancer Research Center (BZKF), Partner Site Munich, Munich, Germany.
  • Cusumano D; Mater Olbia Hospital, Olbia, Italy.
  • Fusella M; Department of Radiation Oncology, Abano Terme Hospital, Italy. Electronic address: mfusella@casacura.it.
  • Placidi L; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy.
Radiother Oncol ; 190: 109970, 2024 Jan.
Article en En | MEDLINE | ID: mdl-37898437
MRI-guided radiotherapy (MRIgRT) is a highly complex treatment modality, allowing adaptation to anatomical changes occurring from one treatment day to the other (inter-fractional), but also to motion occurring during a treatment fraction (intra-fractional). In this vision paper, we describe the different steps of intra-fractional motion management during MRIgRT, from imaging to beam adaptation, and the solutions currently available both clinically and at a research level. Furthermore, considering the latest developments in the literature, a workflow is foreseen in which motion-induced over- and/or under-dosage is compensated in 3D, with minimal impact to the radiotherapy treatment time. Considering the time constraints of real-time adaptation, a particular focus is put on artificial intelligence (AI) solutions as a fast and accurate alternative to conventional algorithms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Radioterapia Guiada por Imagen Límite: Humans Idioma: En Revista: Radiother Oncol Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Irlanda
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Radioterapia Guiada por Imagen Límite: Humans Idioma: En Revista: Radiother Oncol Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Irlanda