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

A. Belfatto, M. Garbey, M. Riboldi, D. Ciardo, A. Cecconi, R. Lazzari, B. A. Jereczek, R. Orecchia, G. Baroni, P. Cerveri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages476-479
Number of pages4
ISBN (Print)9781479921317
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 - Valencia, Spain
Duration: Jun 1 2014Jun 4 2014

Other

Other2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
Country/TerritorySpain
CityValencia
Period6/1/146/4/14

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Fingerprint

Dive into the research topics of 'Modeling cervix cancer growth and response to radiation therapy: A validation study using patient volumetric tumor data'. Together they form a unique fingerprint.

Cite this