Optimal weekly scheduling in fractionated radiotherapy: effect of an upper bound on the dose fraction size (Articolo in rivista)

Type
Label
  • Optimal weekly scheduling in fractionated radiotherapy: effect of an upper bound on the dose fraction size (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/s00285-014-0805-8 (literal)
Alternative label
  • Bruni C.; Conte F.; Papa F.; Sinisgalli C. (2014)
    Optimal weekly scheduling in fractionated radiotherapy: effect of an upper bound on the dose fraction size
    in Journal of mathematical biology (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bruni C.; Conte F.; Papa F.; Sinisgalli C. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84906524329&partnerID=q2rCbXpz (literal)
Rivista
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Dipartimento di Ingegneria Informatica, Automatica e Gestionale 'A. Ruberti', Sapienza Università di Roma, Via Ariosto 25, Rome, 00185, Italy; Istituto di Analisi dei Sistemi ed Informatica 'A. Ruberti' -CNR, Via dei Taurini 19, Rome, 00185, Italy (literal)
Titolo
  • Optimal weekly scheduling in fractionated radiotherapy: effect of an upper bound on the dose fraction size (literal)
Abstract
  • This work concerns the optimization of the dose fractionation for cancer radiotherapy schedules of the kind one fraction/day, five fractions/week, assuming a fixed overall treatment time. Constraints are set to limit the radiation damages to surrounding normal tissues, as well as the daily fraction size. The response to radiation of tumour and normal tissues is represented by the classical LQ model, including the exponential repopulation term. We provide a framework to analytically determine the optimal weekly scheme of radiation doses as a function of the tumour type, the fraction upper bound and the normal tissue parameters. For a comparison with the literature, we present some numerical examples of optimal treatment schedules for specific tumour types. © 2014 Springer-Verlag Berlin Heidelberg. (literal)
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