Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer

Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer

Background: Rectal cancer is a malignant neoplasm of the large intestine resulting from the uncontrolled proliferation of the rectal tract. Predicting the pathologic response of neoadjuvant chemoradiotherapy at an MRI primary staging scan in patients affected by locally advanced rectal cancer (LARC)...

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Bibliographic Details
Main Authors: Giuseppe Filitto, Francesca Coppola, Nico Curti, Enrico Giampieri, Daniele Dall'Olio, Alessandra Merlotti, Arrigo Cattabriga, Maria Adriana Cocozza, Makoto Taninokuchi Tomassoni, Daniel Remondini, Luisa Pierotti, Lidia Strigari, Dajana Cuicchi, Alessandra Guido, Karim Rihawi, Antonietta D'Errico, Francesca Di Fabio, Gilberto Poggioli, Alessio Giuseppe Morganti, Luigi Ricciardiello, Rita Golfieri, Gastone Castellani
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Cancers
Subjects:
radiomics
artificial intelligence
machine and deep learning
medical imaging
Online Access:https://www.mdpi.com/2072-6694/14/9/2231

Internet

https://www.mdpi.com/2072-6694/14/9/2231

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