孤立性肺結節　　ＣＴでの良悪性診断と気管支鏡下組織診との関係，および良悪性診断におけるａｒｔｉｆｉｃｉａｌ　ｎｅｕｒａｌ　ｎｅｔｗｏｒｋｓの有用性

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  • Solitary Pulmonary Nodule: Differentiating Benign From Malignant Nodule, CT-Bronchoscopic Correlation, and Usefulness of Artificial Neural Networks on CT.

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Objective. To evaluate the useful CT finding for differentiating benign from malignant pulmonary nodule and for CT-bronchoscopic correlation, and to evaluate the usefulness of artificial neural networks (ANN). Methods. Sixty-six patients of solitary pulmonary nodule smaller than 3cm were evaluated for differential diagnosis and CTbronchoscopic correlation. One hundred fifty-five patients of solitary pulmonary nodule smaller than 3 cm were evalu-ated for ANN analysis. Results. In lung cancers, air bronchogram/bronchiologram, grossly irregular margin, and the involvement of pulmonary vein were common, while straight or inward concave margin and satellite lesions were pre-dominantly seen in benign nodules. The positive bronchus sign on CT was useful in predicting the success of transbronchial biopsy. The average Az value for all radiologists increased with the use of the ANN output.

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  • 肺癌

    肺癌 42 (7), 702-709, 2002

    特定非営利活動法人 日本肺癌学会

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