Prediction of breast lesion malignancy in high-risk oncogenetic patients with MRI BI- RADS 4 lesion using multiparametric MRI-based radiomic

Benjamin Leporq (1) , Camille Schreiner (2) , Agnes Coulon (2) , Olivier Beuf (1) , Frank Pilleul (1)

1 RMN et optique : De la mesure au biomarqueur
2 Centre Léon Bérard [Lyon]

In this study a multiparametric MRI-based radiomic method to predict cancer in MRI BI-RADS 4 breast lesions, in high-risk oncogenetic patients is proposed. The results demonstrated that mpMRI-based radiomic can predict all malignant lesions among MRI BI-RADS 4 lesion and reduced the number of unnecessary biopsy by 86% in our population.

Domaines: Imagerie

Benjamin Leporq, Camille Schreiner, Agnes Coulon, Olivier Beuf, Frank Pilleul. Prediction of breast lesion malignancy in high-risk oncogenetic patients with MRI BI- RADS 4 lesion using multiparametric MRI-based radiomic. 27th Annual meeting of the ISMRM, May 2019, Montréal, Canada. ⟨hal-02266789⟩