| CT纹理特征分析在孤立性肺结节诊断中的研究进展 |
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| 引用本文： | 姚本波,余建群.CT纹理特征分析在孤立性肺结节诊断中的研究进展[J].CT理论与应用研究,2020,29(1):111-118. |
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| 作者姓名： | 姚本波 余建群 |
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| 作者单位： | 1. 四川大学华西医院放射科, 成都 610041; |
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| 摘 要： | 肺癌是我国发病率位居首位的恶性肿瘤,胸部CT扫描能提高肺癌的检出率和正确诊断率。早期或没有症状的肺癌大多表现为孤立性肺结节,因此肺部结节的鉴别诊断非常重要。传统CT诊断基于肺结节影像外部及密度特征,对于部分结节,尤其是磨玻璃密度结节的鉴别较困难。CT纹理特征分析基于内部灰度特点变化等多种特征的量化,为孤立性肺结节的良恶性鉴别、预后判断及基因突变预测提供有用参考,从而弥补了传统CT量化评估不足的缺点。本文总结CT纹理特征分析的基本原理、方法和工作流程及其在孤立性肺结节诊断中的应用。
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| 关 键 词： | CT 纹理特征 纹理分析 孤立性肺结节 |
| 收稿时间： | 2019-11-17 |
Advance of CT Texture Feature Analysis in Diagnosis of Solitary Pulmonary Nodules |
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| Institution: | 1. Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China;2. Department of Radiology, Zigong No. 4 People's Hospital, Zigong 643000, China |
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| Abstract: | Lung cancer is the most common malignant tumor in China. Chest CT scan can improve the detection and correct diagnosis of lung cancer. Early or asymptomatic lung cancer is mostly manifested as solitary pulmonary nodules, so the differential diagnosis of pulmonary nodules is very important. The diagnosis of pulmonary nodules on conventional CT images depended on their contour, shape and the characteristics of density, which is difficult to differential diagnosis in benign or malignant nodules, especial in ground glass nodule (GGN). However, computed tomography (CT) texture feature analysis is based on the quantification of internal gray scale features and other features, which provides a useful reference for the identification of benign and malignant solitary pulmonary nodules, prognosis judgment and gene mutation prediction. Thus texture analysis makes up for the deficiency of traditional CT quantitative evaluation. This paper summarizes the basic principle, method and workflow of CT texture feature analysis and its application in the diagnosis of solitary pulmonary nodules. |
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