title: Combination of radiological and gray level co-occurrence matrix textural features used to distinguish solitary pulmonary nodules by computed tomography.
abstract: The objective of this study was to investigate the method of the combination of radiological and textural features for the differentiation of malignant from benign solitary pulmonary nodules by computed tomography. Features including 13 gray level co-occurrence matrix textural features and 12 radiological features were extracted from 2,117 CT slices, which came from 202 (116 malignant and 86 benign) patients. Lasso-type regularization to a nonlinear regression model was applied to select predictive features and a BP artificial neural network was used to build the diagnostic model. Eight radiological and two textural features were obtained after the Lasso-type regularization procedure. Twelve radiological features alone could reach an area under the ROC curve (AUC) of 0.84 in differentiating between malignant and benign lesions. The 10 selected characters improved the AUC to 0.91. The evaluation results showed that the method of selecting radiological and textural features appears to yield more effective in the distinction of malignant from benign solitary pulmonary nodules by computed tomography.
authors: School of Public Health and Family Medicine, Capital Medical University, Beijing 100069, China.
authors: Haifeng
authors: H
authors: Wu
authors: Tao
authors: T
authors: Sun
authors: Jingjing
authors: J
authors: Wang
authors: Xia
authors: X
authors: Li
authors: Wei
authors: W
authors: Wang
authors: Da
authors: D
authors: Huo
authors: Pingxin
authors: P
authors: Lv
authors: Wen
authors: W
authors: He
authors: Keyang
authors: K
authors: Wang
authors: Xiuhua
authors: X
authors: Guo
mesh_terms: D019540:Area Under Curve; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D008297:Male; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging*; D036542:Tomography, Spiral Computed / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods*