Computer-aided differentiation of malignant from benign solitary pulmonary nodules imaged by high-resolution CT
- 作者：Shingo Iwano ; Tatsuya Nakamura ; Yuko Kamioka ; Mitsuru Ikeda ; Takeo Ishigaki
- 关键词：Computer-aided diagnosis (CAD) ; High-resolution CT (HRCT) ; Lung cancer ; Pulmonary nodules
- 刊名：Computerized Medical Imaging and Graphics
- 出版年：2008
- 期刊代码：69_08956111
- 类别：med
- 出版时间：July 2008
- 卷：32
- 期：5
- 页码：416-422
- 文件大小：863 K
摘要
We investigated the possibility of using computer analysis of high-resolution CT images to radiologically classify the shape of pulmonary nodules. From a total of 107 HRCT images of solid, solitary pulmonary nodules with prior differentiation as benign (n = 55) or malignant (n = 52), we extracted the desired pulmonary nodules and calculated two quantitative parameters for characterizing nodules: circularity and second central moment. Using discriminant analysis for two thresholds in differentiating malignant from benign states resulted in a sensitivity of 76.9%, a specificity of 80%, a positive predictive value of 78.4%, and a negative predictive value of 78.6%.