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Chinese Journal of Radiation Oncology  2017, Vol. 26 Issue (12): 1451-1456    DOI: 10.3760/cma.j.issn.1004-4221.2017.12.021
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Progress in quantitative imaging evaluation of tumor spatial heterogeneity
Zhang Siying, Chen Feng
Department of Radiology,First Affiliated Hospital, Zhejiang University School of Medicine,Hangzhou 310003,China
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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.

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Zhang Siying
Chen Feng
Key wordsTumor spatial heterogeneity      Radiomics      Histogram analysis      Texture analysis      Parametric response map     
Received: 20 December 2016     
Fund:

Projects supported by National Natural Science Foundation of China (30670603);Zhejiang Provincial Commission for Health Planning (2014PYA009)

Corresponding Authors: Chen Feng,Email:chenfenghz@zju.edu.cn   
Cite this article:   
Zhang Siying,Chen Feng. Progress in quantitative imaging evaluation of tumor spatial heterogeneity[J]. Chinese Journal of Radiation Oncology, 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.
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http://journal12.magtechjournal.com/Jweb_fszlx/EN/10.3760/cma.j.issn.1004-4221.2017.12.021     OR     http://journal12.magtechjournal.com/Jweb_fszlx/EN/Y2017/V26/I12/1451
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