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A Century of Fractionated Radiotherapy: How Mathematical Oncology Can Break the Rules.
Ghaderi, Nima; Jung, Joseph; Brüningk, Sarah C; Subramanian, Ajay; Nassour, Lauren; Peacock, Jeffrey.
Afiliação
  • Ghaderi N; Department of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
  • Jung J; Department of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
  • Brüningk SC; Machine Learning & Computational Biology Lab, Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Subramanian A; Swiss Institute for Bioinformatics (SIB), 1015 Lausanne, Switzerland.
  • Nassour L; Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA.
  • Peacock J; Department of Radiation Oncology, University of Alabama Birmingham, Birmingham, AL 35205, USA.
Int J Mol Sci ; 23(3)2022 Jan 24.
Article em En | MEDLINE | ID: mdl-35163240
Radiotherapy is involved in 50% of all cancer treatments and 40% of cancer cures. Most of these treatments are delivered in fractions of equal doses of radiation (Fractional Equivalent Dosing (FED)) in days to weeks. This treatment paradigm has remained unchanged in the past century and does not account for the development of radioresistance during treatment. Even if under-optimized, deviating from a century of successful therapy delivered in FED can be difficult. One way of exploring the infinite space of fraction size and scheduling to identify optimal fractionation schedules is through mathematical oncology simulations that allow for in silico evaluation. This review article explores the evidence that current fractionation promotes the development of radioresistance, summarizes mathematical solutions to account for radioresistance, both in the curative and non-curative setting, and reviews current clinical data investigating non-FED fractionated radiotherapy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radioterapia / Radioterapia (Especialidade) Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radioterapia / Radioterapia (Especialidade) Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article