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Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma.


ABSTRACT: Triple-negative breast cancer (TNBC) is sometimes mistaken for fibroadenoma due to its tendency to show benign morphology on breast ultrasound (US) albeit its aggressive nature. This study aims to develop a radiomics score based on US texture analysis for differential diagnosis between TNBC and fibroadenoma, and to evaluate its diagnostic performance compared with pathologic results. We retrospectively included 715 pathology-proven fibroadenomas and 186 pathology-proven TNBCs which were examined by three different US machines. We developed the radiomics score by using penalized logistic regression with a least absolute shrinkage and selection operator (LASSO) analysis from 730 extracted features consisting of 14 intensity-based features, 132 textural features and 584 wavelet-based features. The constructed radiomics score showed significant difference between fibroadenoma and TNBC for all three US machines (p?

SUBMITTER: Lee SE 

PROVIDER: S-EPMC6131410 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma.

Lee Si Eun SE   Han Kyunghwa K   Kwak Jin Young JY   Lee Eunjung E   Kim Eun-Kyung EK  

Scientific reports 20180910 1


Triple-negative breast cancer (TNBC) is sometimes mistaken for fibroadenoma due to its tendency to show benign morphology on breast ultrasound (US) albeit its aggressive nature. This study aims to develop a radiomics score based on US texture analysis for differential diagnosis between TNBC and fibroadenoma, and to evaluate its diagnostic performance compared with pathologic results. We retrospectively included 715 pathology-proven fibroadenomas and 186 pathology-proven TNBCs which were examined  ...[more]

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