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

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.