A predictive model of lymph node metastasis after thoracoscopic surgery for lung adenocarcinoma with a diameter≤3 cm
- VernacularTitle:直径≤3 cm肺腺癌胸腔镜术后淋巴结转移的预测模型构建
- Author:
Yanhui YANG
1
,
2
;
Ji LI
1
,
2
;
Yi WANG
1
,
2
;
Xiaoliang LI
1
,
2
;
Lei LUO
1
,
2
;
Xin CHENG
1
,
2
;
Xiaoyang XIE
1
,
2
Author Information
1. Department of Thoracic Surgery, The First People'
2. s Hospital of Neijiang, Neijiang Affiliated Hospital of Chongqing Medical University, Neijiang, 641000, Sichuan, P. R. China
- Publication Type:Journal Article
- Keywords:
Nomogram;
lung adenocarcinoma;
lymph node metastasis
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2024;31(01):71-77
- CountryChina
- Language:Chinese
-
Abstract:
Objective To predict the probability of lymph node metastasis after thoracoscopic surgery in patients with lung adenocarcinoma based on nomogram. Methods We analyzed the clinical data of the patients with lung adenocarcinoma treated in the department of thoracic surgery of our hospital from June 2018 to May 2021. The patients were randomly divided into a training group and a validation group. The variables that may affect the lymph node metastasis of lung adenocarcinoma were screened out by univariate logistic regression, and then the clinical prediction model was constructed by multivariate logistic regression. The nomogram was used to show the model visually, the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve to evaluate the calibration degree and practicability of the model. Results Finally 249 patients were collected, including 117 males aged 53.15±13.95 years and 132 females aged 47.36±13.10 years. There were 180 patients in the training group, and 69 patients in the validation group. There was a significant correlation between the 6 clinicopathological characteristics and lymph node metastasis of lung adenocarcinoma in the univariate logistic regression. The area under the ROC curve in the training group was 0.863, suggesting the ability to distinguish lymph node metastasis, which was confirmed in the validation group (area under the ROC curve was 0.847). The nomogram and clinical decision curve also performed well in the follow-up analysis, which proved its potential clinical value. Conclusion This study provides a nomogram combined with clinicopathological characteristics, which can be used to predict the risk of lymph node metastasis in patients with lung adenocarcinoma with a diameter≤3 cm.
