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

被引:69
作者
She, Yunlang [1 ]
Zhao, Lilan [1 ]
Dai, Chenyang [1 ]
Ren, Yijiu [1 ]
Zha, Junyan [1 ]
Xie, Huikang [2 ]
Jiang, Sen [3 ]
Shi, Jingyun [3 ]
Shi, Shunbin [4 ]
Shi, Weirong [5 ]
Yu, Bing [6 ]
Jiang, Gening [1 ]
Fei, Ke [1 ]
Chen, Yongbing [7 ]
Chen, Chang [1 ]
机构
[1] Tongji Univ, Sch Med, Shanghai Pulm Hosp, Dept Thorac Surg, Shanghai, Peoples R China
[2] Tongji Univ, Sch Med, Shanghai Pulm Hosp, Dept Pathol, Shanghai, Peoples R China
[3] Tongji Univ, Sch Med, Shanghai Pulm Hosp, Dept Radiol, Shanghai, Peoples R China
[4] Nantong Univ, Dept Thorac Surg, Affiliated Wujiang Hosp, Nantong, Jiangsu, Peoples R China
[5] Nantong Sixth Peoples Hosp, Dept Thorac Surg, Nantong, Jiangsu, Peoples R China
[6] Fenghua Peoples Hosp, Dept Thorac Surg, Ningbo, Zhejiang, Peoples R China
[7] Soochow Univ, Affiliated Hosp 2, Dept Thorac Surg, Suzhou, Jiangsu, Peoples R China
关键词
ground-glass nodule; lung adenocarcinoma; nomogram; CT FINDINGS; OPACITY; RESECTION; ASSOCIATION; MANAGEMENT; GROWTH;
D O I
10.18632/oncotarget.11236
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To construct a preoperative nomogram to differentiate invasive pulmonary adenocarcinomas (IPAs) from preinvasive lesions in patients with solitary pure ground-glass nodules (GGN). Methods: A primary cohort of patients with pathologically confirmed pulmonary solitary pure GGN after surgery were retrospectively studied at five institutions from January 2009 to September 2015. Half of the patients were randomly selected and assigned to a model-development cohort, and the remaining patients were assigned to a validation cohort. A nomogram predicting the invasive extent of the solitary GGNs was constructed based on the independent risk factors. Predictive performance was evaluated by concordance index (C-index) and calibration curve. Results: Out of 898 cases included in the study, 501 (55.8%) were preinvasive lesions and 397 (44.2%) were IPAs. In the univariate analysis, lesion size (p < 0.001), lesion margin (p = 0.041), lesion shape (p < 0.001), mean computed tomography (CT) value (p = 0.018), presence of pleural indentation (p = 0.017), and smoking status (p = 0.014) were significantly associated with invasive extent. In multivariate analysis, lesion size (p < 0.001), lesion margin (p = 0.042), lesion shape (p < 0.001), mean CT value (p = 0.014), presence of pleural indentation (p = 0.026), and smoking status (p = 0.004) remained the predictive factors of invasive extent. A nomogram was developed and validation results showed a C-index of 0.94, demonstrating excellent concordance between predicted and observed results. Conclusions: We established and validated a novel nomogram that can identify IPAs from preinvasive lesions in patients with solitary pure GGN.
引用
收藏
页码:17229 / 17238
页数:10
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