http://www.cnr.it/ontology/cnr/individuo/prodotto/ID7475
Response of tumor spheroids to radiation: modeling and parameter estimation (Articolo in rivista)
- Type
- Label
- Response of tumor spheroids to radiation: modeling and parameter estimation (Articolo in rivista) (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 tumor spheroids to radiation: modeling and parameter estimation
in Bulletin of mathematical biology (Print)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bertuzzi, A.; Bruni, C.; Fasano, A.; Gandolfi, A.; Papa, F.; Sinisgalli, C. (literal)
- Pagina inizio
- Pagina fine
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- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Dipartimento di Informatica e Sistemistica \"A. Ruberti\", Sapienza Università di Roma, Italy. Dipartimento di Matematica \"U. Dini\", Università di Firenze, Italy. CNR-IASI. (literal)
- Titolo
- Response of tumor spheroids to radiation: modeling 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 diffusionconsumption
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. The compartments of lethally damaged cells
and of dead cells are subdivided into different subcompartments to simulate the delays
that occur in cell death and cell degradation, with a gain in model flexibility. 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.
Keywords Tumor spheroids · Radiotherapy · Linear quadratic model (literal)
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- Autore CNR
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