高级检索
当前位置: 首页 > 详情页

Nomogram Prediction Model Analysis of Risk Factors for Conversion to Thoracotomy after Thoracoscopic Resection of Lung Cancer and Prognostic Value of Lung Cancer

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]Hebei Med Univ, Hosp 4, Dept Thorac 5, Shijiazhuang 050011, Hebei, Peoples R China
出处:
ISSN:

摘要:
This study was aimed at exploring the risk factors for thoracotomy in patients undergoing thoracoscopic resection of lung cancer and further analyzing the factors affecting the prognosis of patients. Ninety-six patients with non-small-cell lung cancer who underwent thoracoscopic pulmonary resection were recruited as the subjects, and they were enrolled into the thoracoscopic group (n = 88) and the thoracotomy group (n = 8) according to whether thoracotomy was performed. Univariate analysis and logistic multivariate regression were performed to analyze the risk factors for conversion to thoracotomy, and nomogram prediction model was employed to analyze the prognostic factors. The results revealed that the proportion of patients over 65 years old, with history of coronary heart disease, diabetes, and pulmonary tuberculosis, etc., in the thoracotomy group and the thoracoscopic group was significantly different (P < 0.05). There were statistically significant differences in the development of interlobular cleft, pleural adhesion, tumor diameter > 3.5 cm, vascular and lymph node invasion, and tumor TNM stage between the thoracotomy group and the thoracoscopic group (P < 0.05). Overall, the age of patients >= 65 years old, tumor diameter > 3.5 cm, hypoplasia of interlobular fissure, history of pulmonary tuberculosis, pleural adhesion, and TNM stage IIIa were all independent risk factors for thoracoscopic resection of lung cancer to thoracotomy. Cox model and nomogram prediction model analysis showed that surgery methods, tumor diameter > 3.5 cm, chemotherapy cycle < 4, chemotherapy, and TNM stage IIIa were all independent factors influencing the prognosis of patients undergoing thoracoscopic lung cancer resection. This nomogram prediction model had high application value in patient prognosis prediction.

基金:

基金编号: 20221223

语种:
被引次数:
WOS:
PubmedID:
中科院分区:
出版当年[2022]版:
大类 | 4 区 工程技术
小类 | 4 区 数学与计算生物学
最新[2025]版:

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版]

第一作者:
第一作者机构: [1]Hebei Med Univ, Hosp 4, Dept Thorac 5, Shijiazhuang 050011, Hebei, Peoples R China
通讯作者:
通讯机构: [1]Hebei Med Univ, Hosp 4, Dept Thorac 5, Shijiazhuang 050011, Hebei, Peoples R China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:39770 今日访问量:0 总访问量:1333 更新日期:2025-05-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 河北医科大学第四医院 技术支持:重庆聚合科技有限公司 地址:河北省石家庄市健康路12号