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Your search keyword '"Ilkka Koskivuo"' showing total 2 results
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1. MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study

Author

Kirsi Holli-Helenius, Annukka Salminen, Irina Rinta-Kiikka, Ilkka Koskivuo, Nina Brück, Pia Boström, and Riitta Parkkola

Subjects
magnetic resonance imaging (MRI), texture analysis (TA), breast cancer, invasive ductal carcinoma (IDC), volumetric analysis, prognostic factors, Medical technology, R855-855.5
Abstract

Abstract Background The aim of this study was to use texture analysis (TA) of breast magnetic resonance (MR) images to assist in differentiating estrogen receptor (ER) positive breast cancer molecular subtypes. Methods Twenty-seven patients with histopathologically proven invasive ductal breast cancer were selected in preliminary study. Tumors were classified into molecular subtypes: luminal A (ER-positive and/or progesterone receptor (PR)-positive, human epidermal growth factor receptor type 2 (HER2) -negative, proliferation marker Ki-67

Published
2017
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