Purpose: To test whether 3T MRI radiomics of breast malignant lesions improve the performance of predictive models of complete response to neoadjuvant chemotherapy when added to other clinical, histological and radiological information.

3T DCE-MRI radiomics for prediction of complete response to neoadjuvant chemotherapy in breast cancer

Montemezzi, S.;Bisighin, M. V.;Camera, L.;Zerbato, C.;Caumo, F.;Fiorio, E.;Zuffante, M.;Cavedon, C.
2021-01-01

Abstract

Purpose: To test whether 3T MRI radiomics of breast malignant lesions improve the performance of predictive models of complete response to neoadjuvant chemotherapy when added to other clinical, histological and radiological information.
2021
Inglese
92
S98
S98
1
NAC breast cancer, radiomic predictive model, Random Forest, Support Vector Machines, Logistic regression, MRI.
info:eu-repo/semantics/article
10
01 Contributo in rivista::01.05 Abstract in rivista
none
266
Benetti, G.; Montemezzi, S.; Meliadò, G.; Bisighin, M. V.; Camera, L.; Zerbato, C.; Caumo, F.; Fiorio, E.; Zuffante, M.; Cavedon, C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1075707
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