Medical imaging and nuclear medicine: a Lancet Oncology Commission

医学 佣金 医学物理学 内科学 核医学 政治学 法学
作者
Hedvig Hricak,May Abdel–Wahab,Rifat Atun,Miriam Mikhail-Lette,Diana Páez,James A. Brink,Lluís Donoso-Bach,Guy Frija,Monika Hierath,Ola Holmberg,Pek‐Lan Khong,Jason S. Lewis,Geraldine McGinty,Wim J.G. Oyen,Lawrence N. Shulman,Zachary J. Ward,Andrew M. Scott
出处
期刊:Lancet Oncology [Elsevier BV]
卷期号:22 (4): e136-e172 被引量:335
标识
DOI:10.1016/s1470-2045(20)30751-8
摘要

The diagnosis and treatment of patients with cancer requires access to imaging to ensure accurate management decisions and optimal outcomes. Our global assessment of imaging and nuclear medicine resources identified substantial shortages in equipment and workforce, particularly in low-income and middle-income countries (LMICs). A microsimulation model of 11 cancers showed that the scale-up of imaging would avert 3·2% (2·46 million) of all 76·0 million deaths caused by the modelled cancers worldwide between 2020 and 2030, saving 54·92 million life-years. A comprehensive scale-up of imaging, treatment, and care quality would avert 9·55 million (12·5%) of all cancer deaths caused by the modelled cancers worldwide, saving 232·30 million life-years. Scale-up of imaging would cost US$6·84 billion in 2020-30 but yield lifetime productivity gains of $1·23 trillion worldwide, a net return of $179·19 per $1 invested. Combining the scale-up of imaging, treatment, and quality of care would provide a net benefit of $2·66 trillion and a net return of $12·43 per $1 invested. With the use of a conservative approach regarding human capital, the scale-up of imaging alone would provide a net benefit of $209·46 billion and net return of $31·61 per $1 invested. With comprehensive scale-up, the worldwide net benefit using the human capital approach is $340·42 billion and the return per dollar invested is $2·46. These improved health and economic outcomes hold true across all geographical regions. We propose actions and investments that would enhance access to imaging equipment, workforce capacity, digital technology, radiopharmaceuticals, and research and training programmes in LMICs, to produce massive health and economic benefits and reduce the burden of cancer globally.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
EscX完成签到,获得积分10
刚刚
刚刚
kong完成签到,获得积分10
刚刚
1秒前
心猿意马完成签到,获得积分10
1秒前
2秒前
2秒前
动人的亦旋完成签到,获得积分10
3秒前
wuyu发布了新的文献求助10
3秒前
5秒前
阿中完成签到,获得积分10
5秒前
TcsnAIj完成签到,获得积分10
5秒前
5秒前
知悉发布了新的文献求助10
6秒前
李健的小迷弟的应助被羊宝采纳,获得10
6秒前
asheng完成签到,获得积分10
6秒前
7秒前
所所的应助被虚心香彤采纳,获得10
7秒前
852的应助被yinba采纳,获得10
7秒前
8秒前
8秒前
小马甲的应助被杨梦子采纳,获得10
8秒前
8秒前
yang完成签到 ,获得积分10
8秒前
8秒前
科研通AI6.2的应助被CHEM_XIE采纳,获得10
10秒前
风趣的凡完成签到 ,获得积分10
10秒前
狮山教授完成签到,获得积分10
10秒前
zhao完成签到,获得积分10
10秒前
11秒前
羊村村长发布了新的文献求助10
12秒前
12秒前
俊逸访天完成签到,获得积分10
14秒前
LinaTang发布了新的文献求助10
14秒前
tao完成签到,获得积分10
14秒前
GGbond完成签到,获得积分10
14秒前
今后的应助被周先生采纳,获得10
15秒前
17秒前
17秒前
17秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Composite Materials Handbook Volume 1 - Revision H 1500
Composite Materials Handbook Volume 3 - Revision H 1500
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7807371
求助须知:如何正确求助?哪些是违规求助? 9340096
关于积分的说明 20499861
捐赠科研通 7399682
什么是DOI,文献DOI怎么找? 3328366
关于科研通互助平台的介绍 2475223
邀请新用户注册赠送积分活动 2346715