Predicting Local Failure after Partial Prostate Re-Irradiation Using a Dosiomic-Based Machine Learning Model

Predicting Local Failure after Partial Prostate Re-Irradiation Using a Dosiomic-Based Machine Learning Model

The aim of this study is to predict local failure after partial prostate re-irradiation for the treatment of isolated locally recurrent prostate cancer by using a machine learning classifier based on radiomic features from pre-treatment computed tomography (CT), positron-emission tomography (PET) an...

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Bibliographic Details
Main Authors: Giovanni Pirrone, Fabio Matrone, Paola Chiovati, Stefania Manente, Annalisa Drigo, Alessandra Donofrio, Cristina Cappelletto, Eugenio Borsatti, Andrea Dassie, Roberto Bortolus, Michele Avanzo
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Personalized Medicine
Subjects:
radiomics
dosiomics
machine learning
radiotherapy
prostate cancer
partial prostate re-irradiation
Online Access:https://www.mdpi.com/2075-4426/12/9/1491

Internet

https://www.mdpi.com/2075-4426/12/9/1491

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