Montpellier Cancer Research Institute (IRCM), 208 Ave des Apothicaires, 34295, Montpellier, France.
Department of Radiology, Montpellier Cancer institute, INSERM, U1194, University of Montpellier, 208 Ave des Apothicaires, 34295, Montpellier, France.
Curr Oncol Rep. 2019 Jun 25;21(8):70. doi: 10.1007/s11912-019-0815-1.
To briefly review the radiomics concept, its applications, and challenges in oncology in the era of precision medicine.
Over the last 5 years, more than 500 studies have evaluated the role of radiomics to predict tumor diagnosis, genetic pattern, tumor response to therapy, and survival in multiple cancers. This new post-processing method is aimed at extracting multiple quantitative features from the image and converting them into mineable data. Radiomics models developed have shown promising results and may play a role in the near future in the daily patient management especially to assess tumor heterogeneity acting as a whole tumor virtual biopsy. For now, radiomics is limited by its lack of standardization; future challenges will be to provide robust and reproducible metrics extracted from large multicenter databases.
简要回顾精准医学时代，放射组学概念及其在肿瘤学中的应用和挑战。
在过去的 5 年中，已有 500 多项研究评估了放射组学在预测肿瘤诊断、遗传模式、肿瘤对治疗的反应和多种癌症患者生存方面的作用。这种新的后处理方法旨在从图像中提取多个定量特征，并将其转化为可挖掘的数据。放射组学模型已经显示出有希望的结果，并且可能在不久的将来在日常患者管理中发挥作用，特别是评估肿瘤异质性，作为整个肿瘤虚拟活检。目前，放射组学受到缺乏标准化的限制；未来的挑战将是从大型多中心数据库中提取稳健且可重复的指标。
