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Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description

P. Castorina, G. Ferini, E. Martorana, S. Forte

. 2022 ; 12 (4) : . [pub] 20220326

Language English Country Switzerland

Document type Journal Article

Grant support
F/0157/00/X26 Ministry of Economic Development
ARS01_00492 Ministry of Education, Universities and Research

Tumor volume regression during and after chemo and radio therapy is a useful information for clinical decisions. Indeed, a quantitative, patient oriented, description of the response to treatment can guide towards the modification of the scheduled doses or the evaluation of the best time for surgery. We propose a macroscopic algorithm which permits to follow quantitatively the time evolution of the tumor volume during and after radiochemotherapy. The method, initially validated with different cell-lines implanted in mice, is then successfully applied to the available data for partially responding and complete recovery patients.

References provided by Crossref.org

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