Preoperative nomogram for identifying invasive pulmonary adenocarcinoma in patients with pure ground-glass nodule: A multi-institutional study

• DOI: 10.18632/oncotarget.11236
• Publication Date: 2016-08-12T03:59:03Z
• Authors: Yunlang She; Lilan Zhao; Chenyang Dai; Yijiu Ren; Junyan Zha; Huikang Xie; Sen Jiang; Jingyun Shi; Shunbin Shi; Weirong Shi; Bing Yu; Gening Jiang; Ke Fei; Yongbing Chen; Chang Chen
• Keywords: Nomogram; Cardiothoracic surgery

// Yunlang She 1,* , Lilan Zhao Chenyang Dai 1 Yijiu Ren Junyan Zha Huikang Xie 2 Sen Jiang 3 Jingyun Shi Shunbin 4 Weirong 5 Bing Yu 6 Gening Ke Fei Yongbing Chen 7 and Chang Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School Medicine, Shanghai, P.R. China Pathology, Radiology, The Affiliated Wujiang Hospital Nantong University, Jiangsu, Sixth People's Fenghua Zhejiang, Second Soochow * These authors have contributed equally to this work Correspondence to: Chen, email: Keywords : ground-glass nodule, lung adenocarcinoma, nomogram Received December 15, 2015 Accepted June 04, 2016 Published August 11, Abstract Purpose: To construct a preoperative differentiate invasive pulmonary adenocarcinomas (IPAs) from preinvasive lesions in patients with solitary pure nodules (GGN). Methods: A primary cohort pathologically confirmed GGN after surgery were retrospectively studied at five institutions January 2009 September 2015. Half the randomly selected assigned model-development cohort, remaining validation cohort. predicting extent GGNs was constructed based on independent risk factors. Predictive performance evaluated by concordance index (C-index) calibration curve. Results: Out 898 cases included study, 501 (55.8%) 397 (44.2%) IPAs. In univariate analysis, lesion size ( p < 0.001), margin = 0.041), shape mean computed tomography (CT) value 0.018), presence pleural indentation 0.017), smoking status 0.014) significantly associated extent. multivariate 0.042), CT 0.014), 0.026), 0.004) remained predictive factors developed results showed C-index 0.94, demonstrating excellent between predicted observed results. Conclusions: We established validated novel that can identify IPAs GGN.