加拿大放射学:2025年更新。

IF 2.1 4区 医学
Jason Yao, Waqas Ahmad, Sarah Cheng, Andreu F Costa, Birgit B Ertl-Wagner, Savvas Nicolaou, Carolina Souza, Michael N Patlas
{"title":"加拿大放射学:2025年更新。","authors":"Jason Yao, Waqas Ahmad, Sarah Cheng, Andreu F Costa, Birgit B Ertl-Wagner, Savvas Nicolaou, Carolina Souza, Michael N Patlas","doi":"10.1007/s11604-025-01862-x","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Canadian radiology: 2025 update.\",\"authors\":\"Jason Yao, Waqas Ahmad, Sarah Cheng, Andreu F Costa, Birgit B Ertl-Wagner, Savvas Nicolaou, Carolina Souza, Michael N Patlas\",\"doi\":\"10.1007/s11604-025-01862-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":14691,\"journal\":{\"name\":\"Japanese Journal of Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Japanese Journal of Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11604-025-01862-x\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japanese Journal of Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11604-025-01862-x","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

加拿大的放射学正在通过临床创新、合作研究和采用先进成像技术的结合而不断发展。本综述突出了来自全国选定的学术中心的贡献,这些学术中心正在塑造诊断和介入实践。在达尔豪斯大学,研究人员一直致力于提高造影剂的安全性,改进肝胆胰疾病的成像技术,并开发同伴学习项目,以支持质量的持续提高。渥太华大学在放射组学、磁共振成像协议和手术计划的虚拟现实应用方面取得了进展,同时为全球研究网络做出了贡献,重点是评估LI-RADS的性能。在不列颠哥伦比亚大学,光子计数CT、双能CT和人工智能工具的应用正在提高肿瘤、创伤和中风成像的诊断精度。病童医院是儿科放射学的领导者,其工作范围从人工智能(AI)脑肿瘤分类到胎儿MRI和先天性心脏病成像的创新。总之,这些举措反映了加拿大放射学的实力和多样性,表明了通过创新、数据驱动的实践和合作来推进患者护理的共同承诺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Canadian radiology: 2025 update.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Japanese Journal of Radiology
Japanese Journal of Radiology Medicine-Radiology, Nuclear Medicine and Imaging
自引率
4.80%
发文量
133
期刊介绍: Japanese Journal of Radiology is a peer-reviewed journal, officially published by the Japan Radiological Society. The main purpose of the journal is to provide a forum for the publication of papers documenting recent advances and new developments in the field of radiology in medicine and biology. The scope of Japanese Journal of Radiology encompasses but is not restricted to diagnostic radiology, interventional radiology, radiation oncology, nuclear medicine, radiation physics, and radiation biology. Additionally, the journal covers technical and industrial innovations. The journal welcomes original articles, technical notes, review articles, pictorial essays and letters to the editor. The journal also provides announcements from the boards and the committees of the society. Membership in the Japan Radiological Society is not a prerequisite for submission. Contributions are welcomed from all parts of the world.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信