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影像组学在抗肿瘤药物临床试验疗效评估中的应用和挑战
- Affiliations：
Department of Radiology, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing 100142, China
- Author bio：
*E-mail: terrytang78@163.com
- Funds：This work is supported by the Beijing Natural Science Foundation;北京自然科学基金(Z180001);This work is supported by the Beijing Natural Science Foundation;北京自然科学基金(Z200015);PKU-Baidu Fund;北大百度基金资助项目(2020BD027);the National Natural Science Foundation of China;国家自然科学基金重大研究计划(91959205)
DOI：10.24920/003985
中图分类号：收稿日期：2021-08-19，
录用日期：2021-9-14，
网络出版日期：2021-09-21，
纸质出版日期：2021-09-21
- Accepted：
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李佳铮, 唐磊. 影像组学在抗肿瘤药物临床试验疗效评估中的应用和挑战[J]. 中国医学科学杂志（英文版）, 2021,36(3):187-195.
Li Jiazheng, Tang Lei. Radiomics in Antineoplastic Agents Development: Application and Challenge in Response Evaluation[J]. Chinese medical sciences journal, 2021, 36(3): 187-195.
李佳铮, 唐磊. 影像组学在抗肿瘤药物临床试验疗效评估中的应用和挑战[J]. 中国医学科学杂志（英文版）, 2021,36(3):187-195. DOI： 10.24920/003985.
Li Jiazheng, Tang Lei. Radiomics in Antineoplastic Agents Development: Application and Challenge in Response Evaluation[J]. Chinese medical sciences journal, 2021, 36(3): 187-195. DOI： 10.24920/003985.
摘要
抗肿瘤药物的快速发展改善了恶性肿瘤患者预后。以CT、MRI和PET为代表的影像学手段作为重要的终点替代指标
在新药临床试验中发挥着越来越重要的作用。但因抗肿瘤药物作用靶点、应用线数等不同
治疗后影像学征象变化的个体差异较大
单用RECIST标准已无法满足个体化精准评效的需求。影像组学作为一种依托于新兴计算机技术的特征提取和模型构建手段
有望协助临床进行抗肿瘤药物治疗疗效的精准评估。本文介绍了影像组学的基本概念
回顾了影像组学在抗肿瘤药物疗效评价方面的最新进展
深入分析影像组学在预测肿瘤分子标志物、评价治疗疗效和预后预测方面的应用潜力
探讨了目前影像组学在抗肿瘤药物临床研究中存在的主要问题和未来发展方向。
Abstract
The recent spring up of the antineoplastic agents and the prolonged survival bring both challenge and chance to radiological practice. Radiological methods including CT
MRI and PET play an increasingly important role in evaluating the efficacy of these antineoplastic drugs. However
different antineoplastic agents potentially induce different radiological signs
making it a challenge for radiological response evaluation
which depends mainly on one-sided morphological response evaluation criteria in solid tumors (RECIST) in the status quo of clinical practice. This brings opportunities for the development of radiomics
which is promising to serve as a surrogate for response evaluations of anti-tumor treatments. In this article
we introduce the basic concepts of radiomics
review the state-of-art radiomics researches with highlights of radiomics application in predictions of molecular biomarkers
treatment response
and prognosis. We also provide in-depth analyses on major obstacles and future direction of this new technique in clinical investigations on new antineoplastic agents.
关键词
Keywords
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