Andréanne Lapointe, PhD

Validation of online plan adaptation is complex, especially in the context of a MR-Linac where there are very few commercial phantoms available. The purpose of this study is to design and manufacture a modular, simple and low-cost phantom for End-to-End valid...

Deep inspiration breath-hold (DIBH) can reduce cardiac dose in left-sided breast cancer radiotherapy, but its benefit varies substantially between patients. DIBH is also more resource-intensive than free breathing (FB), increasing treatment time and workflow...

To develop a novel composite mesh bolus (CMB) as an alternative to hand-molded bolus in chest wall radiotherapy. The CMB is a 3D-printed flexible mesh with silicone layers. Its design allows surface conformity, skin adhesion, a reproducible bolus effect and c...

Deep learning dose prediction (DP) models rapidly predict radiotherapy dose distributions, addressing critical time constraints in adaptive radiotherapy (ART). Recent patient-specific (PS) approaches fine-tune models on individual initial plans for highly tai...