Publications

Authors:

Benetti, G.; Montemezzi, S.; Meliadò, G.; Bisighin, M. V.; Camera, L.; Zerbato, C.; Caumo, F.; Fiorio, E.; Zuffante, M.; Cavedon, C.

Title:

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

Year:

2021

Type of item:

Abstract in rivista

Tipologia ANVUR:

Abstract su rivista

Language:

Inglese

Keyword:

NAC breast cancer, radiomic predictive model, Random Forest, Support Vector Machines, Logistic regression, MRI.

Short description of contents:

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.

Product ID:

129829

Handle IRIS:

11562/1075707

Last Modified:

March 28, 2023

Bibliographic citation:

Benetti, G.; Montemezzi, S.; Meliadò, G.; Bisighin, M. V.; Camera, L.; Zerbato, C.; Caumo, F.; Fiorio, E.; Zuffante, M.; Cavedon, C., 3T DCE-MRI radiomics for prediction of complete response to neoadjuvant chemotherapy in breast cancer 2021

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