Modeling cervix cancer growth and response to radiation therapy: A validation study using patient volumetric tumor data

Author

Belfatto, Antonella ; Garbey, M. ; Riboldi, Marco ; Ciardo, Delia ; Cecconi, Agnese ; Lazzari, Roberta ; Jereczek, B.A. ; Orecchia, Roberto ; Baroni, Guido ; Cerveri, Pietro

Author_Institution

Dept. of Electron., Inf. & Bioeng., Politec. di Milano Univ., Milan, Italy

fYear

2014

fDate

1-4 June 2014

Firstpage

476

Lastpage

479

Abstract

Mathematical modeling of the tumor response to radiotherapy may provide a meaningful contribution to enhance the therapeutic planning and adjust the treatment on the run. Clinical translation of modeling results is currently prevented by the lack of sufficient validation on a patient-specific basis while imaging techniques along with the latest treatments (e.g. IGRT) can make available a large number of patient data at macroscopic scale. In this work, tissue-scale tumor growth and radio-response models are proposed and validated on volume regression data measured on serial CBCT imaging, concurrent with the treatment fractions, of 16 cervix cancer patients.

Keywords

cancer; computerised tomography; gynaecology; physiological models; radiation therapy; regression analysis; tumours; IGRT; cervix cancer growth modeling; cervix cancer patients; clinical translation; imaging techniques; macroscopic scale; mathematical modeling; patient data; patient volumetric tumor data; patient-specific basis; radiation therapy; radioresponse models; serial CBCT imaging; therapeutic planning; tissue-scale tumor growth; treatment fractions; tumor response; volume regression data; Cancer; Computational modeling; Data models; Mathematical model; Predictive models; Solid modeling; Tumors;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on

Conference_Location

Valencia

Type

conf

DOI

10.1109/BHI.2014.6864406

Filename

6864406