日本放射学2025更新。

IF 3.7 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Mami Iima, Tsukasa Saida, Yoshitake Yamada, Ryo Kurokawa, Daiju Ueda, Maya Honda, Kentaro Nishioka, Rintaro Ito, Keitaro Sofue, Shinji Naganawa
{"title":"日本放射学2025更新。","authors":"Mami Iima, Tsukasa Saida, Yoshitake Yamada, Ryo Kurokawa, Daiju Ueda, Maya Honda, Kentaro Nishioka, Rintaro Ito, Keitaro Sofue, Shinji Naganawa","doi":"10.1177/08465371251374557","DOIUrl":null,"url":null,"abstract":"<p><p>This review provides a comprehensive overview of recent transformative advancements in diagnostic imaging that position Japan at the forefront of radiological innovation. We highlight pivotal innovations that enhance diagnostic capabilities and redefine clinical workflows. The article begins with upright multidetector computed tomography (MDCT), a groundbreaking technology offering novel insights into posture-dependent anatomical and physiological changes. We then explore significant progress in breast and gynecologic imaging, including advancements in artificial intelligence computer-aided (AI-CAD) synthesized mammograms, automated breast ultrasound (ABUS), and abbreviated MRI protocols. These innovations address unique regional challenges in early cancer detection. Significant innovations in abdominal radiology, spanning advanced CT (including photon-counting detector CT), accelerated MRI, and AI applications, are also discussed. The review further delves into glymphatic system research, where advanced MRI techniques, particularly DTI-ALPS, are unraveling new insights into brain waste clearance and neurological disorders. Finally, we examine the future of Japanese radiology through the lens of AI, with a focus on Large Language Models (LLMs). We discuss their growing role in diagnostic support, report generation, and information extraction, as well as important societal and ethical considerations. These collective advancements underscore Japan's dynamic contributions to radiological innovation, poised to significantly impact global healthcare practices by improving disease detection, optimizing workflows, and extending healthy life expectancy in an aging society.</p>","PeriodicalId":55290,"journal":{"name":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","volume":" ","pages":"8465371251374557"},"PeriodicalIF":3.7000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Japanese Radiology 2025 Updates.\",\"authors\":\"Mami Iima, Tsukasa Saida, Yoshitake Yamada, Ryo Kurokawa, Daiju Ueda, Maya Honda, Kentaro Nishioka, Rintaro Ito, Keitaro Sofue, Shinji Naganawa\",\"doi\":\"10.1177/08465371251374557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This review provides a comprehensive overview of recent transformative advancements in diagnostic imaging that position Japan at the forefront of radiological innovation. We highlight pivotal innovations that enhance diagnostic capabilities and redefine clinical workflows. The article begins with upright multidetector computed tomography (MDCT), a groundbreaking technology offering novel insights into posture-dependent anatomical and physiological changes. We then explore significant progress in breast and gynecologic imaging, including advancements in artificial intelligence computer-aided (AI-CAD) synthesized mammograms, automated breast ultrasound (ABUS), and abbreviated MRI protocols. These innovations address unique regional challenges in early cancer detection. Significant innovations in abdominal radiology, spanning advanced CT (including photon-counting detector CT), accelerated MRI, and AI applications, are also discussed. The review further delves into glymphatic system research, where advanced MRI techniques, particularly DTI-ALPS, are unraveling new insights into brain waste clearance and neurological disorders. Finally, we examine the future of Japanese radiology through the lens of AI, with a focus on Large Language Models (LLMs). We discuss their growing role in diagnostic support, report generation, and information extraction, as well as important societal and ethical considerations. These collective advancements underscore Japan's dynamic contributions to radiological innovation, poised to significantly impact global healthcare practices by improving disease detection, optimizing workflows, and extending healthy life expectancy in an aging society.</p>\",\"PeriodicalId\":55290,\"journal\":{\"name\":\"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes\",\"volume\":\" \",\"pages\":\"8465371251374557\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/08465371251374557\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/08465371251374557","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

摘要

这篇综述全面概述了日本在放射学创新前沿的诊断成像领域最近的变革性进展。我们重点介绍了增强诊断能力和重新定义临床工作流程的关键创新。文章从直立多探测器计算机断层扫描(MDCT)开始,这是一项开创性的技术,为姿势依赖的解剖和生理变化提供了新的见解。然后,我们探讨了乳腺和妇科影像学的重大进展,包括人工智能计算机辅助(AI-CAD)合成乳房x光检查、自动乳房超声(ABUS)和简化MRI协议的进展。这些创新解决了早期癌症检测方面的独特区域挑战。还讨论了腹部放射学的重大创新,包括高级CT(包括光子计数检测器CT),加速MRI和人工智能应用。这篇综述进一步深入了淋巴系统的研究,其中先进的MRI技术,特别是DTI-ALPS,正在揭示脑废物清除和神经系统疾病的新见解。最后,我们通过人工智能的视角来研究日本放射学的未来,重点是大型语言模型(llm)。我们讨论了它们在诊断支持、报告生成和信息提取以及重要的社会和伦理考虑方面日益增长的作用。这些集体进步凸显了日本对放射学创新的积极贡献,有望通过改善疾病检测、优化工作流程和延长老龄化社会的健康预期寿命,对全球医疗保健实践产生重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Japanese Radiology 2025 Updates.

This review provides a comprehensive overview of recent transformative advancements in diagnostic imaging that position Japan at the forefront of radiological innovation. We highlight pivotal innovations that enhance diagnostic capabilities and redefine clinical workflows. The article begins with upright multidetector computed tomography (MDCT), a groundbreaking technology offering novel insights into posture-dependent anatomical and physiological changes. We then explore significant progress in breast and gynecologic imaging, including advancements in artificial intelligence computer-aided (AI-CAD) synthesized mammograms, automated breast ultrasound (ABUS), and abbreviated MRI protocols. These innovations address unique regional challenges in early cancer detection. Significant innovations in abdominal radiology, spanning advanced CT (including photon-counting detector CT), accelerated MRI, and AI applications, are also discussed. The review further delves into glymphatic system research, where advanced MRI techniques, particularly DTI-ALPS, are unraveling new insights into brain waste clearance and neurological disorders. Finally, we examine the future of Japanese radiology through the lens of AI, with a focus on Large Language Models (LLMs). We discuss their growing role in diagnostic support, report generation, and information extraction, as well as important societal and ethical considerations. These collective advancements underscore Japan's dynamic contributions to radiological innovation, poised to significantly impact global healthcare practices by improving disease detection, optimizing workflows, and extending healthy life expectancy in an aging society.

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
CiteScore
6.20
自引率
12.90%
发文量
98
审稿时长
6-12 weeks
期刊介绍: The Canadian Association of Radiologists Journal is a peer-reviewed, Medline-indexed publication that presents a broad scientific review of radiology in Canada. The Journal covers such topics as abdominal imaging, cardiovascular radiology, computed tomography, continuing professional development, education and training, gastrointestinal radiology, health policy and practice, magnetic resonance imaging, musculoskeletal radiology, neuroradiology, nuclear medicine, pediatric radiology, radiology history, radiology practice guidelines and advisories, thoracic and cardiac imaging, trauma and emergency room imaging, ultrasonography, and vascular and interventional radiology. Article types considered for publication include original research articles, critically appraised topics, review articles, guest editorials, pictorial essays, technical notes, and letter to the Editor.
×
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