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Multiparametric

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
Source :
Cancers. 14(7)
Publication Year :
2022

Abstract

The aim of this study was to assess whether multiparametricA total of 73 female patients (mean age 49 years; range 27-77 years) with newly diagnosed, therapy-naive breast cancer underwent simultaneousThe best results in terms of AUCs and NPV for predicting complete pathological response in the entire cohort were obtained by the combination of all MR sequences and PET (0.8 and 79.5%, respectively), and no significant differences from the other models were observed. In further subgroup analyses, combining all MR and PET data, the best AUC (0.94) for predicting complete pathologic response was obtained in the HR+/HER2- group. No difference between results with/without the inclusion of PET characteristics was observed in the TN/HER2+ group, each leading to an AUC of 0.92 for all MR and all MR + PET datasets.

Details

ISSN :
20726694
Volume :
14
Issue :
7
Database :
OpenAIRE
Journal :
Cancers
Accession number :
edsair.pmid..........1d23cd8f1ae939692b9805c91da30815