谷歌浏览器插件
订阅小程序
在清言上使用

Uniportal Thoracoscopic Mediastinal Lymphadenectomy Using Appropriate Surgical Steps

JOURNAL OF THORACIC DISEASE(2024)

引用 0|浏览8
暂无评分
摘要
Background: Although lymphadenectomies play an important role in the surgical treatment of patients with non-small cell lung cancer (NSCLC), the quality of lymphadenectomies via a uniportal approach has only been evaluated in a few studies. We describe the surgical steps for a mediastinal lymphadenectomy via uniportal video-assisted thoracoscopic surgery (uVATS) and compare the quality of mediastinal lymphadenectomies using uVATS versus multiportal video-assisted thoracoscopic surgery (mVATS). Methods: Between April 2017 and January 2023, we analyzed data from 304 patients with NSCLC who underwent (bi-)lobectomy with nodal dissection (ND) 2a-1 or greater lymphadenectomy via uVATS or mVATS. We compared patient characteristics and perioperative results, including the number of harvested lymph nodes (LNs), between the two approaches. In addition, the factors associated with N-upstage were identified. Results: No significant differences in the total number of harvested LNs were detected between the two approaches. Significantly more LN#2R/4R zone LNs were harvested in the uVATS group compared with the number harvested in the mVATS group [uVATS group: 8.5, interquartile range (IQR), 5-12.3; mVATS group: 7, IQR, 5-9, P=0.0177], while no significant differences in total nodes or nodes harvested in other zones were detected. Multivariable analysis revealed that pathologic invasion size [odds ratio: 1.0200, 95% confidence interval (CI): 1.0100-1.0400, P=0.0050], but not approach (uVATS, odds ratio: 0.6240, 95% CI: 0.3160-1.2300, P=0.1750), significantly contributed to N factor upstages. Conclusions: The use of appropriate surgical steps enabled us to achieve similar quality lymphadenectomies via mVATS or uVATS.
更多
查看译文
关键词
Lymphadenectomy,non-small cell lung cancer (NSCLC),uniportal video-assisted thoracoscopic surgery (uVATS)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要