Analysis of independent risk factors for non-solid pulmonary nodules and establishment of a benign and malignant predictive model#br#
LIU Canjun1 ZHAO Jiaying1 WANG Jian2
1.Medical College, Jiangsu University, Jiangsu Province, Zhenjiang 212000, China;
2.Department of Respiratory, the First People’s Hospital of Zhenjiang, Jiangsu Province, Zhenjiang 212002, China
Abstract：Objective To screen independent risk factors for non-solid pulmonary nodules and establish a predictive model for benign and malignant pulmonary nodules. Methods The clinical data of 309 patients with non-solid pulmonary nodules diagnosed in the First People’s Hospital of Zhenjiang, Jiangsu Province from 2015 to 2020 were retrospectively analyzed, and they were divided into observation group (malignant, 61 cases) and control group (benign, 248 cases) according to benign and malignant of the nodules. Single factor and binary logistic regression were used to analyze the risk factors in malignant nodules, and a prediction model was established. The diagnostic value of the model was analyzed by the receiver operation characteristic curve. Results Age, carcinoembryonic antigen (CEA) level, nodule diameter, solid part length diameter, mean CT (m-CT) value, and the proportions of calcification, vascular sign, vacuole sign, lobulation sign, and spicule sign in the observation group were higher than those in the control group, and the differences were statistically significant (P ＜ 0.05). Multivariate analysis showed that high CEA level, long solid part length diameter, high m-CT value, and vascular sign, vacuolar sign, lobulation sign, and spicule sign were independent risk factors for malignant non-solid pulmonary nodules (OR ＞ 1, P ＜ 0.05). The prediction model was P = ex/(1 + ex), x=-6.078 + (2.002 × spicule sign) + (3.438 × vacuole sign) + (3.877 × vascular sign) + (0.622 × CEA) + (0.149 × solid part length diameter) +(0.003 × |m-CT|) + (5.494 × lobulation sign). The area under the curve of the model was 0.882 (P < 0.05), and the cut-off value was 0.842. Conclusion The benign and malignant prediction model of nonsolid pulmonary nodules is established in this study, which has certain diagnostic value and great clinical application prospect for benign and malignant diagnosis.
刘参军1 赵家莹1 王剑2. 非实性肺结节独立危险因素分析及良恶性预测模型建立[J]. 中国医药导报, 2022, 19(4): 91-94.
LIU Canjun1 ZHAO Jiaying1 WANG Jian2. Analysis of independent risk factors for non-solid pulmonary nodules and establishment of a benign and malignant predictive model#br#. 中国医药导报, 2022, 19(4): 91-94.
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