Author profile
Princess Margaret Cancer Centre
Xerostomia is a common toxicity after radical head and neck cancer (HNC) radiotherapy (RT), causing long-term quality-of-life impairment. Although salivary function may recover, dose–response relationships governing long-term recovery remain unclear. This stu...
To assess dose calculation accuracy on cone-beam computed tomography (CBCT) images relative to the RayStation CBCT correction framework (CBCTcorr) across multiple CBCT platforms, anatomical sites, and clinical scenarios.
Accurate delivery of MR-guided adaptive radiotherapy (MRgART) for prostate SBRT is influenced by inter- and intra-fraction motion, planning target volume (PTV) margin selection, and verification adaptation. Our study quantified motion magnitude and dosimetric...
To expedite the diagnosis-to-treatment workflow in radiation oncology, this work evaluates a machine learning approach for generating synthetic radiation therapy (RT) planning images directly from diagnostic computed tomography (CT) images, potentially elimin...
This project uses a multi-modal method to train a foundational model for medical images of cervical cancer patients. Multiple imaging modalities are used over the course of treatment: multiparametric MRI, CT, cone-beam CT, and PET when indicated. This motivat...
High dose-rate brachytherapy (HDR-BT) is an essential component of cervical cancer treatment. While deep learning has shown promise to automate tasks within HDR-BT, such as segmentation of organs-at-risk (OARs) and targets, quality labelled data is limited. T...
Custom software in the therapy context presents a serious question. Is it an essential component of operations and innovation or is it an accident waiting to happen? This session will tackle this question in a lively debate format. The questions explored here...