CT texture features in differential diagnosis of invasion of ground pulmonary adenocarcinoma manifesting glass density nodule
10.13929/j.1003-3289.201709175
- VernacularTitle:CT图像纹理分析鉴别诊断磨玻璃密度肺腺癌的浸润性
- Author:
Ting LUO
1
;
Zheng ZHANG
;
Xin LI
;
Yan GUO
;
Lina ZHANG
;
Ke XU
Author Information
1. 中国医科大学附属第一医院放射科
- Keywords:
Tomography,X-ray computed;
Lung neoplasms;
Texture analysis;
Radiomics
- From:Chinese Journal of Medical Imaging Technology
2017;33(12):1788-1791
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of CT texture analysis in differential diagnosing invasion of pulmonary adenocarcinoma manifesting ground glass density nodule.Methods Totally 100 patients with pulmonary adenocarcinoma manifesting ground glass density nodule (56 invasive adenocarcinomas and 44 non-invasive adenocarcinomas) confirmed by pathology underwent CT scanning.Patients were randomly divided into training group (n =69) and validation group (n =31).Image features were extracted using A.K.(Analysis-Kinetics) analysis software,and feature dimensionality reduction was conducted with Kruskal-Wallis and Spearman analysis.The Logistic model was established with R language package "GLM" function,then regression model was tested with cross-validation method.ROC curve analysis was performed to evaluate the differentiating value of identified variables.Results Totally 396 texture parameters were obtained from imaging features,and of which 3 features had the relationship with differential diagnosis of invasion of pulmonary adenocarcinoma manifesting ground glass density nodule.ROC curve showed that area under the curve of the Logistic model in validation group was 83.30％,and the sensitivity and specificity were 77.80％ and 91.70％,respectively.Conclusion Texture analysis has the potential to improve the differentiation of invasion of pulmonary adenocarcinoma manifesting ground glass density nodule.
