معرفی
Marcin Wierzbicki serves as an Assistant Professor in Interdisciplinary Science at McMaster University, with primary appointments in the Department of Medical Physics and Radiation Sciences within the Faculty of Science. His research bridges medical physics and radiation oncology, focusing on optimizing radiotherapy treatments for cancer patients, particularly those with lung cancer. Dr. Wierzbicki plays a key role in major clinical trials including the LUSTRE trial (comparing SBRT versus conventionally hypofractionated radiotherapy) and the OCOG-ALMERA trial (investigating metformin as a radiosensitizer).
Dr. Wierzbicki's scholarly work demonstrates a progression from earlier contributions in cardiac modeling and image-guided surgery toward his current specialization in radiation oncology physics. His research addresses critical challenges in treatment planning accuracy, quality assurance protocols, and toxicity management for stereotactic body radiotherapy (SBRT), particularly for challenging tumor locations like ultracentral lung tumors. His publications reveal a strong emphasis on clinical trial methodology, credentialing standards for multi-institutional studies, and the application of advanced computational techniques to improve treatment precision.
Analysis of his 15 most recent publications shows consistent focus on optimizing lung cancer radiotherapy, with particular attention to planning target volume margins, dose reconstruction methods, and the relationship between treatment parameters and clinical outcomes. His work on the LUSTRE trial credentialing process has established important standards for SBRT delivery across multiple institutions, while his recent exploration of AI-based dose prediction systems represents cutting-edge integration of machine learning in radiation oncology.
- Growth differentiation factor 15 (GDF15) as a biomarker for treatment response prediction (2025)
- LUSTRE Phase 3 trial comparing SBRT versus conventional radiotherapy (2024)
- Long-term toxicity analysis for ultracentral lung tumors (2023-2024)
- AI-based dose prediction systems for adaptive radiotherapy (2023)
Dr. Wierzbicki contributes significantly to graduate education through courses including 'Anatomy for Medical Physicists' (MEDPHYS 783) and 'Radiation Oncology Physics I' (MEDPHYS 778), demonstrating his commitment to training the next generation of medical physicists. His consistent teaching record since 2018 and active research program position him as an important contributor to translational research in cancer treatment.
