论著摘要 |【综述】肺癌中的成像异质性:技术,应用与挑战(双语版)

2017-12-19 11:07:46 admin 67

Imaging Heterogeneity in Lung Cancer: Techniques, Applications, and Challenges.

发表日期: 2016.09.01   来源:American Journal of Roentgenology. 2016;207: 534-543.

作者

Usman Bashir1, Muhammad Musib Siddique1, Emma Mclean2, Vicky Goh1,3 and Gary J. Cook1,4

作者介绍: ,

1. Department of Cancer Imaging, Division of Imaging Sciences and Biomedical Engineering, King's College London, London SE1 7EH, UK.

2. Department of Histopathology, Guy's and St. Thomas' Hospitals, London, UK.

3. Department of Radiology, Guy's and St. Thomas' Hospitals, London, UK.

4. PET Imaging Centre, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.

目的

纹理分析中涉及了医学图像的数字化处理,进而得出测量异质性的数据集。对肺癌的研究显示,纹理分析可能在对肿瘤特征提取和病人结果预测方面起到作用。本文列举了肺癌成像中纹理分析的数学原理和最新文献。我们也描述了将纹理分析进行临床应用所面临的一些挑战。

Objective

Texture analysis involves the mathematic processing of medical images to derive sets of numeric quantities that measure heterogeneity. Studies on lung cancer have shown that texture analysis may have a role in characterizing tumors and predicting patient outcome. This article outlines the mathematic basis of and the most recent literature on texture analysis in lung cancer imaging. We also describe the challenges facing the clinical implementation of texture analysis.

结论

肺癌图像的纹理分析已经成功应用在了FDG PETCT扫描中。不同的纹理参数已经成功的对疾病的性质和病人的结果进行预测。一般来讲,肿瘤图像中越多的异质性似乎倾向于更强的肿瘤活力和更坏的结果,同时肿瘤异质性会逐治疗而降低。尽管有这些惊喜的结果,但是报告中的数据和关联的强度的差异性还是很大的。

Conclusion

Texture analysis of lung cancer images has been applied successfully to FDG PET and CT scans. Different texture parameters have been shown to be predictive of the nature of disease and of patient outcome. In general, it appears that more heterogeneous tumors on imaging tend to be more aggressive and to be associated with poorer outcomes and that tumor heterogeneity on imaging decreases with treatment. Despite these promising results, there is a large variation in the reported data and strengths of association.

阅读原文:10.2214/AJR.15.15864

 

 


慧影医疗科技(北京)有限公司

地点:北京市海淀区中关村东升科技园B2-C103

电话:400-890-9020

邮箱:radcloud@huiyihuiying.com

关闭
图片
图片