title: Clinical application of a novel computer-aided detection system based on three-dimensional CT images on pulmonary nodule.
abstract: The aim of this study was to investigate the clinical application effects of a novel computer-aided detection (CAD) system based on three-dimensional computed tomography (CT) images on pulmonary nodule. 98 cases with pulmonary nodule (PN) in our hospital from Jun, 2009 to Jun, 2013 were analysed in this study. All cases underwent PN detection both by the simple spiral CT scan and by the computer-aided system based on 3D CT images, respectively. Postoperative pathological results were considered as the "gold standard", for both two checking methods, the diagnostic accuracies for determining benign and malignant PN were calculated. Under simple spiral CT scan method, 63 cases is malignant, including 50 true positive cases and 13 false positive cases from the "gold standard"; 35 cases is benign, 16 true negative case and 19 false negative cases, the Sensitivity 1 (Se1)=0.725, Specificity1 (Sp1)=0.448, Agreement rate1 (Kappa 1)=0.673, J1 (Youden's index 1)=0.173, LR(+)1=1.616, LR(-)1=0.499. Kappa 1=0.673 between the 0.4 and 0.75, has a moderate consistency. Underwent computer-aided detection (CAD) based on 3D CT method, 67cases is malignant, including 62 true positive cases and 7 false positive cases; 31 cases is benign, 24 true negative case and 7 false negative cases, Sensitivity 2 (Se2)=0.899, Specificity2 (Sp2)=0.828, Agreement rate (Kappa 2)=0.877, J2 (Youden's index 2)=0.727, LR(+)2=5.212, LR(-)2=0.123. Kappa 2=0.877 >0.75, has a good consistency. Computer-aided PN detecting system based on 3D CT images has better clinical application value, and can help doctor carry out early diagnosis of lung disease (such as cancer, etc.) through CT images.
authors.affiliation: Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Guangxi Medical University Nanning 530031, China.
authors.forename: Jian-Ye
authors.initials: JY
authors.lastname: Zeng
authors.affiliation: Department of Cardiothoracic Surgery, The Affiliated Minzu Hospital of Guangxi Medical University Nanning 530001, China.
authors.forename: Hai-Hong
authors.initials: HH
authors.lastname: Ye
authors.affiliation: Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Guangxi Medical University Nanning 530031, China.
authors.forename: Shi-Xiong
authors.initials: SX
authors.lastname: Yang
authors.affiliation: School of Computer Science and Technology, Huazhong University of Science and Technology Wuhan 430074, Hubei, China.
authors.forename: Ren-Chao
authors.initials: RC
authors.lastname: Jin
authors.affiliation: Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Guangxi Medical University Nanning 530031, China.
authors.forename: Qi-Liang
authors.initials: QL
authors.lastname: Huang
authors.affiliation: Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Guangxi Medical University Nanning 530031, China.
authors.forename: Yong-Chu
authors.initials: YC
authors.lastname: Wei
authors.affiliation: Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Guangxi Medical University Nanning 530031, China.
authors.forename: Si-Guang
authors.initials: SG
authors.lastname: Huang
authors.affiliation: Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Guangxi Medical University Nanning 530031, China.
authors.forename: Bin-Qiang
authors.initials: BQ
authors.lastname: Wang
authors.affiliation: Department of Hepatobiliary Surgery, Tumor Hospital Affiliated to Guangxi Medical University Nanning 530021, China.
authors.forename: Jia-Zhou
authors.initials: JZ
authors.lastname: Ye
authors.affiliation: Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Guangxi Medical University Nanning 530031, China.
authors.forename: Jian-Ying
authors.initials: JY
authors.lastname: Qin
keywords: Pulmonary nodule; computer-assisted; diagnosis; three-dimensional image