Studying the regression profiles of cervical tumours during radiotherapy treatment using a patient-specific multiscale model.

ABSTRACT: Apart from offering insight into the biomechanisms involved in cancer, many recent mathematical modeling efforts aspire to the ultimate goal of clinical translation, wherein models are designed to be used in the future as clinical decision support systems in the patient-individualized context. Most significant challenges are the integration of multiscale biodata and the patient-specific model parameterization. A central aim of this study was the design of a clinically-relevant parameterization methodology for a patient-specific computational model of cervical cancer response to radiotherapy treatment with concomitant cisplatin, built around a tumour features-based search of the parameter space. Additionally, a methodological framework for the predictive use of the model was designed, inclu

SUBMITTER: Kyroudis CA 

PROVIDER: S-EPMC6355788 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature