论著摘要 |【综述】在肿瘤学中实施计算医学成像(影像组学)的承诺和挑战(双语版)

2017-08-18 12:01:02 admin 4

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.

发表日期:2017 Jun 1    来源:Ann Oncol. 

作者:Limkin EJ1,2Sun R1,2,3Dercle L4Zacharaki EI5Robert C1,2,3Reuzé S1,2,3Schernberg A1,2,3Paragios N5,6Deutsch E1,2Ferté C1,7.

作者介绍

    1.Radiomics team, INSERM U1030, Gustave Roussy.

    2.Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.

    3.Faculty of Medicine, Paris Sud University, Kremlin-Bicetre.

    4.Department of Nuclear Medicine and Endocrine Oncology, Gustave Roussy, Paris-Saclay University, Villejuif.

    5.Center for Visual Computing, CentraleSupelec/Paris-Saclay University/Inria, Châtenay-Malabry.

    6.TheraPanacea, Paris.

    7.Department of Head and Neck Oncology, Gustave Roussy, Paris-Saclay University, Villejuif, France.

摘要

医学图像处理和分析(也称为影像组学)是一个快速增长的学科,将数字医学图像映射到定量数据,最终目标是产生作为临床实践的决策支持工具的成像生物标志物。常规临床检查得到的成像数据的使用,通过提高对肿瘤生物学的了解和协助精准医疗的实施,在改善癌症护理方面具有巨大的潜力。作为一种全面评估肿瘤及其微环境的非侵入性方法,影像组学可以评估和监测如时间和空间异质性的肿瘤特征。可以观察到计算医学成像出版物数量的快速增长,这些里程碑突出了成像生物标志物在肿瘤学中的应用。然而,使用影像组学作为临床生物标志物仍然需要改善和标准化才能实现常规的临床应用。本综述讨论了确保影像组学作为生物标志物正确发展的关键问题,促进其在临床实践中的实施。

Medical image processing and analysis (also known as Radiomics) is a rapidly growing discipline that maps digital medical images into quantitative data, with the end goal of generating imaging biomarkers as decision support tools for clinical practice. The use of imaging data from routine clinical work-up has tremendous potential in improving cancer care by heightening understanding of tumor biology and aiding in the implementation of precision medicine. As a noninvasive method of assessing the tumor and its microenvironment in their entirety, radiomics allows the evaluation and monitoring of tumor characteristics such as temporal and spatial heterogeneity. One can observe a rapid increase in the number of computational medical imaging publications-milestones that have highlighted the utility of imaging biomarkers in oncology. Nevertheless, the use of radiomics as clinical biomarkers still necessitates amelioration and standardization in order to achieve routine clinical adoption. This Review addresses the critical issues to ensure the proper development of radiomics as a biomarker and facilitate its implementation in clinical practice.

关键词

计算医学成像,精准医疗,定量成像,影像组学,肿瘤生物学

computational medical imaging; precision medicine; quantitative imaging; radiomics; tumor biology


阅读原文:10.1093/annonc/mdx034



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