She Yunlang, Zhao Lilan, Dai Chenyang, Ren Yijiu, Jiang Gening, Xie Huikang, Zhu Huiyuan, Sun Xiwen, Yang Ping, Chen Yongbing, Shi Shunbin, Shi Weirong, Yu Bing, Xie Dong, Chen Chang
Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, P. R. China.
Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, P. R. China.
J Surg Oncol. 2017 Nov;116(6):756-762. doi: 10.1002/jso.24704. Epub 2017 Jun 1.
To develop and validate a nomogram to estimate the pretest probability of malignancy in Chinese patients with solid solitary pulmonary nodule (SPN).
A primary cohort of 1798 patients with pathologically confirmed solid SPNs after surgery was retrospectively studied at five institutions from January 2014 to December 2015. A nomogram based on independent prediction factors of malignant solid SPN was developed. Predictive performance also was evaluated using the calibration curve and the area under the receiver operating characteristic curve (AUC).
The mean age of the cohort was 58.9 ± 10.7 years. In univariate and multivariate analysis, age; history of cancer; the log base 10 transformations of serum carcinoembryonic antigen value; nodule diameter; the presence of spiculation, pleural indentation, and calcification remained the predictive factors of malignancy. A nomogram was developed, and the AUC value (0.85; 95%CI, 0.83-0.88) was significantly higher than other three models. The calibration cure showed optimal agreement between the malignant probability as predicted by nomogram and the actual probability.
We developed and validated a nomogram that can estimate the pretest probability of malignant solid SPNs, which can assist clinical physicians to select and interpret the results of subsequent diagnostic tests.
建立并验证一种列线图,以估计中国实性孤立性肺结节(SPN)患者恶性肿瘤的术前概率。
回顾性研究了2014年1月至2015年12月期间在五家机构接受手术且病理确诊为实性SPN的1798例患者的原始队列。基于恶性实性SPN的独立预测因素建立了列线图。还使用校准曲线和受试者工作特征曲线下面积(AUC)评估了预测性能。
该队列的平均年龄为58.9±10.7岁。在单因素和多因素分析中,年龄、癌症病史、血清癌胚抗原值的以10为底的对数转换、结节直径、毛刺征、胸膜凹陷征和钙化的存在仍然是恶性肿瘤的预测因素。建立了列线图,其AUC值(0.85;95%CI,0.83 - 0.88)显著高于其他三个模型。校准曲线显示列线图预测的恶性概率与实际概率之间具有最佳一致性。
我们建立并验证了一种可估计恶性实性SPN术前概率的列线图,它可以帮助临床医生选择和解释后续诊断检查的结果。