What’s New for Clinical Whole-body MRI (WB-MRI) in the 21st Century

Author:

Tunariu Nina12ORCID,Blackledge Matthew3,Messiou Christina1,Petralia Giuseppe4,Padhani Anwar5,Curcean Sebastian1,Curcean Andra12,Koh Dow-Mu2

Affiliation:

1. Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton, London, UK

2. Drug Development Unit, The Institute of Cancer Research, 15 Cotswold Road, Sutton, London, UK

3. Department of Radiotherapy, The Institute of Cancer Research, 15 Cotswold Road, Sutton, London, UK

4. Department of Radiology, European Institute of Oncology, Via Ripamonti, 435 - 20141 Milan, Italy

5. Mount Vernon Hospital, The Paul Strickland Scanner Centre, Rickmansworth Road, Northwood, Middlesex, UK

Abstract

Whole-body MRI (WB-MRI) has evolved since its first introduction in the 1970s as an imaging technique to detect and survey disease across multiple sites and organ systems in the body. The development of diffusion-weighted MRI (DWI) has added a new dimension to the implementation of WB-MRI on modern scanners, offering excellent lesion-to-background contrast, while achieving acceptable spatial resolution to detect focal lesions 5 to 10 mm in size. MRI hardware and software advances have reduced acquisition times, with studies taking 40–50 min to complete. The rising awareness of medical radiation exposure coupled with the advantages of MRI has resulted in increased utilization of WB-MRI in oncology, paediatrics, rheumatological and musculoskeletal conditions and more recently in population screening. There is recognition that WB-MRI can be used to track disease evolution and monitor response heterogeneity in patients with cancer. There are also opportunities to combine WB-MRI with molecular imaging on PET-MRI systems to harness the strengths of hybrid imaging. The advent of artificial intelligence and machine learning will shorten image acquisition times and image analyses, making the technique more competitive against other imaging technologies.

Publisher

British Institute of Radiology

Subject

Radiology Nuclear Medicine and imaging,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3