University of Toronto

To assess the dosimetric impact of systematic source position uncertainty along the source path during MRI-guided gynecological high-dose-rate (HDR) interstitial brachytherapy (ISBT) treatment planning.

Patient-facing AI systems are increasingly used for education, yet their performance can vary widely depending on how users communicate. This study presents the development and evaluation of an AI-based chatbot designed to deliver consistent and reliable radi...

The dielectric wall accelerator (DWA) offers a low-cost solution for proton therapy with non-resonant waveguides. Radial waveguides (RWGs) transport electronically-switched nanosecond pulses and produce an accelerating electric field in the beam pipe. Previou...

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...

The accessibility of proton therapy is limited by the size and cost associated with traditional acceleration techniques. The dielectric wall accelerator (DWA) was proposed as a low-cost, compact proton accelerator capable of generating suitable beams for prot...

Tumor heterogeneity within and across tumors contributes to variable therapeutic response by altering biophysical transport barriers in the tumor microenvironment (TME). Elevated interstitial fluid pressure (IFP) and reduced hydraulic conductivity (K) generat...

Singlet oxygen (SO) is the primary cytotoxic agent in photodynamic therapy (PDT); however, real-time measurement of SO during treatment remains challenging. The purpose of this study is to investigate the dependence of SO signal on tissue oxygenation and trea...

Proton therapy (PT) has demonstrated superior healthy tissue sparing compared to photon radiotherapy for various sites; however, PT systems are expensive, which limits global availability. The dielectric wall accelerator (DWA) is proposed as a low-cost, compa...

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.

To experimentally characterize low-energy helium-4 (⁴He⁺) ion beams at subclinical energies (0.5–1.5 MeV/u) at the newly commissioned ASPIRE facility at TRIUMF using radiochromic film dosimetry, and to validate the measured dose distributions through Monte Ca...

To develop and validate a female pelvis-specific deep learning deformable image registration (DIR) framework optimized for longitudinal CT imaging, enabling accurate dose accumulation and cumulative dose assessment in gynecological radiotherapy.

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...

To investigate the optimal wall thickness for a Rexolite beam pipe for a proof-of-concept dielectric wall accelerator (DWA). In a DWA, protons are accelerated by a virtual traveling wave, created by switching electric fields along a dielectric beam pipe. The...

Artificial intelligence (AI) is increasingly embedded across radiation medicine, with applications in clinical decision support, workflow efficiency, personalization of care, and quality assurance. Despite rapid technical advancement, there remains a critical...

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...

To develop a 3D unified deep learning model for predicting dose distribution of various sites and protocols by conditioning the model using text-embedding representation for each protocol.

18F-fluorodeoxygluose positron emission tomography (18F-FDG-PET) is clinically useful in cervical cancer care and has been shown to reduce interobserver variation of the residual gross tumour volume in brachytherapy. Chemical exchange saturation transfer MRI...

Accurate radiation dosimetry is critical for patient safety and treatment quality in radiotherapy. Conventional thermoluminescent dosimeters have limitations in re-readability and flexibility. This study aims to explore ZnSe nanowire-based optically stimulate...

Therapy Physics

Biologically‑guided Adaptive Radiotherapy (BIGART) on clinical MR‑linac systems are increasingly enabled by quantitative MRI that can sense early biology, beyond conventional anatomy. This symposium spotlights innovation in quantitative MRI and their potentia...

Artificial intelligence (AI) is moving rapidly into medical imaging workflows, yet questions remain about whether these tools can truly be considered dependable and trustworthy in clinical practice. This session will address three critical dimensions: technic...

Therapy Physics

Peer review is a critical quality assurance step in radiation therapy (RT), but not all cases require the same level of attention. We aimed to develop a machine learning (ML) tool to help prioritize breast RT plans for peer review based on their likelihood of...

To investigate the diagnostic performance of perfusion and diffusion MRI in differentiating progressing tumours from radiation necrosis in brain metastases (BM) post-radiosurgery, using a radiomic-based machine learning classification approach.

Therapy Physics

Small variations in radiochromic material thickness in films leads to variability in sensitivity and uncertainty in measured dose. To achieve high accuracy, the commercial films correct for this through a dispersion of the yellow dye, which acts to correct fo...