DocumentCode :
1767063
Title :
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
Link To Document :
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