肿瘤空间异质性影像学定量评价进展

doi:10.3760/cma.j.issn.1004-4221.2017.12.021

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摘要

肿瘤异质性是恶性肿瘤的特征之一,实现肿瘤异质性的可视化并应用现代影像方法给予精确定量,是影像学面临的新挑战。新兴的放射组学解决了这一难题,放射组学应用于肿瘤空间异质性分析并具有可视化效果,其影像定量方法主要包括直方图分析、纹理分析以及参数反应图,这些方法通过肿瘤空间异质性定量评估加快药物研发、改善疗效判断、完善治疗方案和预后评估。

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	张思影
	陈峰

关键词 ：肿瘤空间异质性, 放射组学, 直方图分析, 纹理分析, 参数反应图

Abstract：

Tumor heterogeneity is characteristic in malignant tumors. It is a new challenge in imageology to achieve the visualization of tumor heterogeneity and precise quantification using modern imaging techniques. To solve this problem, the newly emerging radiomics is applied to analyze tumor spatial heterogeneity, with a visualization effect. Image quantification methods, including histogram analysis, texture analysis, and parametric response mapping, can accelerate the research and development of new drugs, improve the efficacy prediction, modify the treatment regimen, and promote the prognostic evaluation.

Key words： Tumor spatial heterogeneity Radiomics Histogram analysis Texture analysis Parametric response map

收稿日期: 2016-12-20

基金资助:

国家自然科学基金面上项目(30670603);浙江省卫计委培育项目(2014PYA009)

通讯作者: 陈峰,Email:chenfenghz@zju.edu.cn

引用本文:

张思影,陈峰. 肿瘤空间异质性影像学定量评价进展[J]. 中华放射肿瘤学杂志, 2017, 26(12): 1451-1456.

Zhang Siying,Chen Feng. Progress in quantitative imaging evaluation of tumor spatial heterogeneity[J]. Chinese Journal of Radiation Oncology, 2017, 26(12): 1451-1456.

链接本文:

http://journal12.magtechjournal.com/Jweb_fszlx/CN/10.3760/cma.j.issn.1004-4221.2017.12.021 或 http://journal12.magtechjournal.com/Jweb_fszlx/CN/Y2017/V26/I12/1451

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