Yao Jason, Ahmad Waqas, Cheng Sarah, Costa Andreu F, Ertl-Wagner Birgit B, Nicolaou Savvas, Souza Carolina, Patlas Michael N
Department of Radiology, McMaster University, Hamilton, ON, L8S 4K1, Canada.
Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, V5Z 1M9, Canada.
Jpn J Radiol. 2025 Aug 28. doi: 10.1007/s11604-025-01862-x.
Radiology in Canada is evolving through a combination of clinical innovation, collaborative research and the adoption of advanced imaging technologies. This overview highlights contributions from selected academic centres across the country that are shaping diagnostic and interventional practice. At Dalhousie University, researchers have led efforts to improve contrast media safety, refine imaging techniques for hepatopancreatobiliary diseases, and develop peer learning programs that support continuous quality improvement. The University of Ottawa has made advances in radiomics, magnetic resonance imaging protocols, and virtual reality applications for surgical planning, while contributing to global research networks focused on evaluating LI-RADS performance. At the University of British Columbia, the implementation of photon-counting CT, dual-energy CT, and artificial intelligence tools is enhancing diagnostic precision in oncology, trauma, and stroke imaging. The Hospital for Sick Children is a leader in paediatric radiology, with work ranging from artificial intelligence (AI) brain tumour classification to innovations in foetal MRI and congenital heart disease imaging. Together, these initiatives reflect the strength and diversity of Canadian radiology, demonstrating a shared commitment to advancing patient care through innovation, data-driven practice and collaboration.
加拿大的放射学正通过临床创新、合作研究以及采用先进成像技术等多种方式不断发展。本概述重点介绍了加拿大各地一些学术中心所做出的贡献，这些贡献正在塑造诊断和介入放射学实践。在达尔豪斯大学，研究人员致力于提高造影剂安全性，完善肝胆胰疾病的成像技术，并开发支持持续质量改进的同行学习项目。渥太华大学在放射组学、磁共振成像协议以及用于手术规划的虚拟现实应用方面取得了进展，同时为专注于评估LI-RADS性能的全球研究网络做出了贡献。在英属哥伦比亚大学，光子计数CT、双能CT和人工智能工具的应用正在提高肿瘤学、创伤和中风成像的诊断精度。病童医院是儿科放射学领域的领导者，其工作涵盖从人工智能脑肿瘤分类到胎儿MRI和先天性心脏病成像的创新。这些举措共同体现了加拿大放射学的实力和多样性，展示了通过创新、数据驱动的实践和合作推进患者护理的共同承诺。
