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Three-dimensional radiomics of triple-negative breast cancer: Prediction of systemic recurrence

 Jieun Koh  ;  Eunjung Lee  ;  Kyunghwa Han  ;  Sujeong Kim  ;  Dong-kyu Kim  ;  Jin Young Kwak  ;  Jung Hyun Yoon  ;  Hee Jung Moon 
 SCIENTIFIC REPORTS, Vol.10(1) : e2976, 2020 
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This paper evaluated 3-dimensional radiomics features of breast magnetic resonance imaging (MRI) as prognostic factors for predicting systemic recurrence in triple-negative breast cancer (TNBC) and validated the results with a different MRI scanner. The Rad score was generated from 3-dimensional radiomic features of MRI for 231 TNBCs (training set (GE scanner), n = 182; validation set (Philips scanner), n = 49). The Clinical and Rad models to predict systemic recurrence were built up and the models were externally validated. In the training set, the Rad score was significantly higher in the group with systemic recurrence (median, -8.430) than the group without (median, -9.873, P < 0.001). The C-index of the Rad model to predict systemic recurrence in the training set was 0.97, which was significantly higher than in the Clinical model (0.879; P = 0.009). When the models were externally validated, the C-index of the Rad model was 0.848, lower than the 0.939 of the Clinical model, although the difference was not statistically significant (P = 0.100). The Rad model for predicting systemic recurrence in TNBC showed a significantly higher C-index than the Clinical model. However, external validation with a different MRI scanner did not show the Rad model to be superior over the Clinical model.
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1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kwak, Jin Young(곽진영) ORCID logo https://orcid.org/0000-0002-6212-1495
Kim, Dong Kyu(김동규) ORCID logo https://orcid.org/0000-0001-7322-2550
Moon, Hee Jung(문희정) ORCID logo https://orcid.org/0000-0002-5643-5885
Yoon, Jung Hyun(윤정현) ORCID logo https://orcid.org/0000-0002-2100-3513
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