title: Preoperative Prediction of Ki-67 Labeling Index By Three-dimensional CT Image Parameters for Differential Diagnosis Of Ground-Glass Opacity (GGO).
abstract: The aim of this study was to predict Ki-67 labeling index (LI) preoperatively by three-dimensional (3D) CT image parameters for pathologic assessment of GGO nodules. Diameter, total volume (TV), the maximum CT number (MAX), average CT number (AVG) and standard deviation of CT number within the whole GGO nodule (STD) were measured by 3D CT workstation. By detection of immunohistochemistry and Image Software Pro Plus 6.0, different Ki-67 LI were measured and statistically analyzed among preinvasive adenocarcinoma (PIA), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC). Receiver operating characteristic (ROC) curve, Spearman correlation analysis and multiple linear regression analysis with cross-validation were performed to further research a quantitative correlation between Ki-67 labeling index and radiological parameters. Diameter, TV, MAX, AVG and STD increased along with PIA, MIA and IAC significantly and consecutively. In the multiple linear regression model by a stepwise way, we obtained an equation: prediction of Ki-67 LI=0.022*STD+0.001* TV+2.137 (R=0.595, R's square=0.354, p<0.001), which can predict Ki-67 LI as a proliferative marker preoperatively. Diameter, TV, MAX, AVG and STD could discriminate pathologic categories of GGO nodules significantly. Ki-67 LI of early lung adenocarcinoma presenting GGO can be predicted by radiologic parameters based on 3D CT for differential diagnosis.
authors.affiliation: Department of Thoracic Surgery, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Mingzheng
authors.initials: M
authors.lastname: Peng
authors.affiliation: Department of Nephrology, People's Hospital of Hunan Province Affiliated to Hunan Normal University School Of Medicine, Changsha, Hunan Province, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Peng
authors.affiliation: Department of Radiology, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Chengzhong
authors.initials: C
authors.lastname: Zhang
authors.affiliation: Department of Radiology, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Qingguo
authors.initials: Q
authors.lastname: Wang
authors.affiliation: Department of Thoracic Surgery, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Zhao
authors.initials: Z
authors.lastname: Li
authors.affiliation: Department of Thoracic Surgery, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Haiyang
authors.initials: H
authors.lastname: Hu
authors.affiliation: Department of Thoracic Surgery, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Sida
authors.initials: S
authors.lastname: Liu
authors.affiliation: Department of Thoracic Surgery, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Binbin
authors.initials: B
authors.lastname: Xu
authors.affiliation: Department of Thoracic Surgery, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Wenzhuo
authors.initials: W
authors.lastname: Zhu
authors.affiliation: Department of Thoracic Surgery, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Yudong
authors.initials: Y
authors.lastname: Han
authors.affiliation: Department of Thoracic Surgery, Shanghai First People's Hospital Affiliated to The Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Lin
mesh_terms: D000230:Adenocarcinoma / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology*; D000077192:Adenocarcinoma of Lung; D000368:Aged; D014408:Biomarkers, Tumor / Q000378:metabolism; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D019394:Ki-67 Antigen / Q000378:metabolism*; D008168:Lung / Q000000981:diagnostic imaging*; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D057234:Preoperative Period; D012372:ROC Curve; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D014408:Biomarkers, Tumor; D019394:Ki-67 Antigen