The evolving role of multimodal imaging, artificial intelligence and radiomics in the radiologic assessment of immune related adverse events

IF 1.5 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jeeban P. Das , Hong Y. Ma , Dorine DeJong , Conor Prendergast , Alireza Baniasadi , Brian Braumuller , Anna Giarratana , Saeid Khonji , Jacienta Paily , Parnian Shobeiri , Randy Yeh , Laurent Dercle , Kathleen M. Capaccione
{"title":"The evolving role of multimodal imaging, artificial intelligence and radiomics in the radiologic assessment of immune related adverse events","authors":"Jeeban P. Das ,&nbsp;Hong Y. Ma ,&nbsp;Dorine DeJong ,&nbsp;Conor Prendergast ,&nbsp;Alireza Baniasadi ,&nbsp;Brian Braumuller ,&nbsp;Anna Giarratana ,&nbsp;Saeid Khonji ,&nbsp;Jacienta Paily ,&nbsp;Parnian Shobeiri ,&nbsp;Randy Yeh ,&nbsp;Laurent Dercle ,&nbsp;Kathleen M. Capaccione","doi":"10.1016/j.clinimag.2025.110571","DOIUrl":null,"url":null,"abstract":"<div><div>Immunotherapy, in particular checkpoint blockade, has revolutionized the treatment of many advanced cancers. Imaging plays a critical role in assessing both treatment response and the development of immune toxicities. Both conventional imaging and molecular imaging techniques can be used to evaluate multisystemic immune related adverse events (irAEs), including thoracic, abdominal and neurologic irAEs. As artificial intelligence (AI) proliferates in medical imaging, radiologic assessment of irAEs will become more efficient, improving the diagnosis, prognosis, and management of patients affected by immune-related toxicities. This review addresses some of the advancements in medical imaging including the potential future role of radiomics in evaluating irAEs, which may facilitate clinical decision-making and improvements in patient care.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110571"},"PeriodicalIF":1.5000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Imaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0899707125001718","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Immunotherapy, in particular checkpoint blockade, has revolutionized the treatment of many advanced cancers. Imaging plays a critical role in assessing both treatment response and the development of immune toxicities. Both conventional imaging and molecular imaging techniques can be used to evaluate multisystemic immune related adverse events (irAEs), including thoracic, abdominal and neurologic irAEs. As artificial intelligence (AI) proliferates in medical imaging, radiologic assessment of irAEs will become more efficient, improving the diagnosis, prognosis, and management of patients affected by immune-related toxicities. This review addresses some of the advancements in medical imaging including the potential future role of radiomics in evaluating irAEs, which may facilitate clinical decision-making and improvements in patient care.
多模态成像、人工智能和放射组学在免疫相关不良事件放射学评估中的演变作用
免疫疗法,特别是检查点阻断,已经彻底改变了许多晚期癌症的治疗。成像在评估治疗反应和免疫毒性的发展中起着关键作用。常规影像学和分子影像学技术均可用于评估多系统免疫相关不良事件(irAEs),包括胸部、腹部和神经系统的irAEs。随着人工智能(AI)在医学成像领域的普及,对irae的放射学评估将变得更加有效,从而改善受免疫相关毒性影响患者的诊断、预后和管理。本文综述了医学影像学的一些进展,包括放射组学在评估irae中的潜在未来作用,这可能有助于临床决策和改善患者护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Clinical Imaging
Clinical Imaging 医学-核医学
CiteScore
4.60
自引率
0.00%
发文量
265
审稿时长
35 days
期刊介绍: The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include: -Body Imaging- Breast Imaging- Cardiothoracic Imaging- Imaging Physics and Informatics- Molecular Imaging and Nuclear Medicine- Musculoskeletal and Emergency Imaging- Neuroradiology- Practice, Policy & Education- Pediatric Imaging- Vascular and Interventional Radiology
×
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