Professor Isabelle Thomassin-Naggara
Hopital Tenon – AP-HP Sorbonne Université 
Paris, France

This lecture will highlight the role of new MRI techniques such as deep learning reconstruction to improve spatial resolution of common sequences used in gynaecological pathologies. In particular, this session will focus on the role of deep learning reconstruction for 3D T2 et 3D T1W sequences, which are particularly useful to improve the diagnosis of deep pelvic endometriosis, adnexal mass characterization, and uterine cancers. 

This presentation will feature several clinical cases illustrating the recent developments in these various pathologies.