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| The diagnosis value of high-resolution computed tomography image texture analysis for solitary pulmonary solid nodule |
| XU Zhi-hua, YANG Guang-zhao, CHEN Song-kuan, WANG Jian, SHAO Mei-hua, JIA Yu-zhu |
| Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou 310012, China |
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Abstract Objective: To explore the diagnosis value of high-resolution computed tomography image texture analysis for solitary pulmonary solid nodule. Methods: A total of 98 patients with solitary pulmonary solid nodule were reviewed. Texture analysis was performed on high-resolution computed tomography image by software of Mazda to obtain the misclassification rate between benign and malignant pulmonary solid nodules. The procedure of texture analysis included analysis of texture parameters, selection of typical texture parameters(fisher coefficient, mutual information, classification error probability combined average correlation coefficients, and combined the three above(FPM)), and classification of the typical texture parameters(linear discriminant analysis, nonlinear discriminant analysis, raw data analysis). Then, the misclassification rate was compared between texture analysis and chest-radiologists. Results: The misclassification rate was the lowest with 6.1%(6/98) through FPM selection and nonlinear discriminant analysis statistical method, and was comparable with chest-radiologists(P<0.05). Conclusion: High-resolution computed tomography image texture analysis is a new important way for differential diagnosis of solitary pulmonary solid nodule.
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Received: 09 May 2019
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2020, Vol. 31 
