癌症检测
癌症
风险分析(工程)
计算机科学
癌症筛查
医学
重症监护医学
内科学
作者
Rebecca C. Fitzgerald,Antonis C. Antoniou,Ljiljana Fruk,Nitzan Rosenfeld
出处
期刊:Nature Medicine
[Springer Nature]
日期:2022-04-01
卷期号:28 (4): 666-677
被引量:161
标识
DOI:10.1038/s41591-022-01746-x
摘要
A proactive approach to detecting cancer at an early stage can make treatments more effective, with fewer side effects and improved long-term survival. However, as detection methods become increasingly sensitive, it can be difficult to distinguish inconsequential changes from lesions that will lead to life-threatening cancer. Progress relies on a detailed understanding of individualized risk, clear delineation of cancer development stages, a range of testing methods with optimal performance characteristics, and robust evaluation of the implications for individuals and society. In the future, advances in sensors, contrast agents, molecular methods, and artificial intelligence will help detect cancer-specific signals in real time. To reduce the burden of cancer on society, risk-based detection and prevention needs to be cost effective and widely accessible.
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