Multiparametric <sup>18</sup>F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Multiparametric <sup>18</sup>F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Background: The aim of this study was to assess whether multiparametric <sup>18</sup>F-FDG PET/MRI-based radiomics analysis is able to predict pathological complete response in breast cancer patients and hence potentially enhance pretherapeutic patient stratification. Methods: A total of...

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Bibliographic Details
Main Authors: Lale Umutlu, Julian Kirchner, Nils-Martin Bruckmann, Janna Morawitz, Gerald Antoch, Saskia Ting, Ann-Kathrin Bittner, Oliver Hoffmann, Lena Häberle, Eugen Ruckhäberle, Onofrio Antonio Catalano, Michal Chodyla, Johannes Grueneisen, Harald H. Quick, Wolfgang P. Fendler, Christoph Rischpler, Ken Herrmann, Peter Gibbs, Katja Pinker
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Cancers
Subjects:
multiparametric <sup>18</sup>F-FDG PET/MRI
radiomics
breast cancer
radiomics-based prediction of pathologic complete response
Online Access:https://www.mdpi.com/2072-6694/14/7/1727

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https://www.mdpi.com/2072-6694/14/7/1727

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