Response of tumour spheroids to radiation: modelling and parameter estimation (Rapporti progetti di ricerca)

Type
Label
  • Response of tumour spheroids to radiation: modelling and parameter estimation (Rapporti progetti di ricerca) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Alternative label
  • Bertuzzi, A.; Bruni, C.; Fasano, A.; Gandolfi, A.; Papa, F.; Sinisgalli, C. (2010)
    Response of tumour spheroids to radiation: modelling and parameter estimation
    (literal)
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  • Bertuzzi, A.; Bruni, C.; Fasano, A.; Gandolfi, A.; Papa, F.; Sinisgalli, C. (literal)
Pagina inizio
  • 1069 (literal)
Pagina fine
  • 1091 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 72 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Rapporto di Ricerca IASI-CNR n.09-16 (literal)
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  • Altro (literal)
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  • Istituto di Analisi dei Sistemi ed Informatica \"A. Ruberti\" - CNR, Viale Manzoni 30, 00185 Roma, Italy; Dipartimento di Informatica e Sistemistica \"A. Ruberti\" - Sapienza Università di Roma, Via Ariosto 25, 00185 Roma, Italy; Dipartimento di Matematica \"U. Dini\", Università di Firenze, Viale Morgagni 67/A, 50134 Firenze, Italy (literal)
Titolo
  • Response of tumour spheroids to radiation: modelling and parameter estimation (literal)
Abstract
  • We propose a spatially distributed continuous model for the spheroid response to radiation, in which the oxygen distribution is represented by means of a diffusion-consumption equation and the radiosensitivity parameters depend on the oxygen concentration. The induction of lethally damaged cells by a pulse of radiation, their death, and the degradation of dead cells are included. To improve the flexibility of the model, the compartments of lethally damaged cells and of dead cells were subdivided into different subcompartments. It is shown that, for a single irradiation and under the hypothesis of a sufficiently small spheroid radius, the model can be reformulated as a linear stationary ordinary differential equation system. For this system, the parameter identifiability has been investigated, showing that the set of unknown parameters can be univocally identified by exploiting the response of the model to at least two different radiation doses. Experimental data from spheroids originated from different cell lines are used to identify the unknown parameters and to test the predictive capability of the model with satisfactory results. (literal)
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