Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description

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...

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Main Authors: Paolo Castorina, Gianluca Ferini, Emanuele Martorana, Stefano Forte
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Journal of Personalized Medicine
Subjects:
Online Access:https://www.mdpi.com/2075-4426/12/4/530
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author Paolo Castorina
Gianluca Ferini
Emanuele Martorana
Stefano Forte
author_facet Paolo Castorina
Gianluca Ferini
Emanuele Martorana
Stefano Forte
author_sort Paolo Castorina
collection DOAJ
description 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.
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spelling doaj.art-9b5c800a74714399a1ce62853571e8752023-12-03T13:35:00ZengMDPI AGJournal of Personalized Medicine2075-44262022-03-0112453010.3390/jpm12040530Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic DescriptionPaolo Castorina0Gianluca Ferini1Emanuele Martorana2Stefano Forte3INFN, Sezione di Catania, 95123 Catania, ItalyREM Radioterapia SRL, 95029 Viagrande, ItalyIstituto Oncologico del Mediterraneo, 95029 Viagrande, ItalyIstituto Oncologico del Mediterraneo, 95029 Viagrande, ItalyTumor 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.https://www.mdpi.com/2075-4426/12/4/530oncologyradiotherapybiophysicscomplex systems
spellingShingle Paolo Castorina
Gianluca Ferini
Emanuele Martorana
Stefano Forte
Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description
Journal of Personalized Medicine
oncology
radiotherapy
biophysics
complex systems
title Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description
title_full Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description
title_fullStr Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description
title_full_unstemmed Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description
title_short Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description
title_sort tumor volume regression during and after radiochemotherapy a macroscopic description
topic oncology
radiotherapy
biophysics
complex systems
url https://www.mdpi.com/2075-4426/12/4/530
work_keys_str_mv AT paolocastorina tumorvolumeregressionduringandafterradiochemotherapyamacroscopicdescription
AT gianlucaferini tumorvolumeregressionduringandafterradiochemotherapyamacroscopicdescription
AT emanuelemartorana tumorvolumeregressionduringandafterradiochemotherapyamacroscopicdescription
AT stefanoforte tumorvolumeregressionduringandafterradiochemotherapyamacroscopicdescription