Séminaire : Clément Jailin

Monitoring the temporal evolution of cancers with mammography

Abstract

When a breast cancer is diagnosed, a chemotherapy treatment procedure may be considered before surgery (neo-adjuvant chemotherapy, NAC). The patient is imaged, usually by CE-MRI, before and after the 4 to 6-months treatment. The quantification of the treatment response is a key step for the planification of the care pathway.
Since MRI is an imaging modality that is not easily accessible in hospitals (expensive acquisition system, long acquisitions, etc.), another breast imaging technique is currently being evaluated to monitor the impact of treatment: angio-mammography (with injection of an iodine contrast media).
To follow and quantify the evolution of cancer, a procedure of 3 successive stages will be presented:

• temporal registration of 2D contrast-enhanced mammography images to align the breast texture and highlight tissue evolution maps (residuals).
• an AI algorithm to detect cancers in the acquisitions before and after treatment.
•  an AI algorithm to quantify cancer changes and extract clinical features.