Radiomics model to classify mammary masses using breast DCE-MRI compared to the BI-RADS classification performance.

Kawtar DebbiPaul HabertAnaïs GrobAnderson LoundouPascale SilesAxel BartoliAlexis Jacquier

Published in: Insights into imaging (2023)

A radiomics signature from features extracted using breast DCE-MRI can reach an AUC of 0.94 on a test-set and could provide as good results as BI-RADS to classify mammary masses.

Keyphrases

contrast enhanced
magnetic resonance imaging
magnetic resonance
computed tomography
diffusion weighted imaging
machine learning
deep learning
squamous cell carcinoma
lymph node metastasis