title: A simulation model for tumor growth controlled by therapeutic agents.
abstract: Results obtained in a controlled tumor growth depend on the experimental model used, the agent employed (drugs, ionizing radiations, heat), aw well as the administration scheduling and the host environment. Empirical search and treatment optimization are related to a discrete number of agent combinations and fractioning, and system parameters and dependencies are strictly connected to biological assumptions. A simplified model for the evaluation of the rate of change of tumor volume at the time of cytotoxic agent administration is proposed here, as well as a computer program to perform the simulation of tumor growth controlled by therapeutic agents.
authors.affiliation: Istituto Regina Elena per lo Studio e la Cura dei Tumori, Roma, Italy.
authors.forename: L
authors.initials: L
authors.lastname: Chiatti
authors.forename: F P
authors.initials: FP
authors.lastname: Gentile
authors.forename: G
authors.initials: G
authors.lastname: Schinaia
authors.forename: S
authors.initials: S
authors.lastname: Carpino
authors.forename: C
authors.initials: C
authors.lastname: Greco
authors.forename: A
authors.initials: A
authors.lastname: Floridi
authors.forename: M
authors.initials: M
authors.lastname: Benassi
mesh_terms: D000818:Animals; D002460:Cell Line; D002945:Cisplatin / Q000627:therapeutic use*; D004317:Doxorubicin / Q000627:therapeutic use*; D004353:Drug Evaluation, Preclinical / Q000379:methods; D004351:Drug Resistance; D005260:Female; D016403:Lymphoma, Large B-Cell, Diffuse / Q000188:drug therapy*; D051379:Mice; D008954:Models, Biological; D009154:Mutation; D010051:Ovarian Neoplasms / Q000188:drug therapy*; D010641:Phenotype
chemical_list: D004317:Doxorubicin; D002945:Cisplatin