Three-port single-intercostal versus multiple-intercostal thoracoscopic lobectomy for the treatment of lung cancer: a propensity-matched analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Zixiang Wu, Qi Wang, Cong Wu, Tianwei Zhan, Lingjun Dong, Shuai Fang, Xuyang Peng, Lian Wang, Saibo Pan, Ming Wu

ABSTRACT

BACKGROUND: In this retrospective study, we aimed to demonstrated that three-port single-intercostal (SIC) thoracoscopic lobectomy is an effective choice for lung cancer by comparing the perioperative outcomes of patients with non-small-cell lung cancer treated with three-port SIC and conventional multiple-intercostal (MIC) thoracoscopic lobectomy. METHODS: From January 2013 to January 2018, 642 non-small-cell lung cancer patients underwent thoracoscopic lobectomy via a three-port SIC or MIC technique. Propensity-matched analysis incorporating preoperative clinical variables was used to compare the perioperative outcomes between the two groups. RESULTS: The first 20 patients were excluded to account for the learning curve effect in the SIC group. Propensity matching yielded 186 patients in each group. A small percentage of patients had major morbidity, including 4.8% in the SIC group and 6.5% in the MIC group; there was no significant difference between the two groups. Although the total number of lymph nodes harvested (25.3 vs. 23.8, p = 0.160) and stations removed (6.5 vs. 6.7, p = 0.368) were similar between the two groups, more subcarinal lymph nodes were removed (6.9 vs. 5.2, p < 0.001) in the SIC group than in the MIC group. Furthermore, other perioperative outcomes in the SIC group were not fewer than those in the MIC group. CONCLUSIONS: Both techniques are acceptable for the treatment of non-small-cell lung cancer. Three-port SIC VATS lobectomy can provide an alternative procedure in thoracoscopic surgery. More... »

PAGES

8

Journal

TITLE

BMC Cancer

ISSUE

1

VOLUME

19

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12885-018-5256-y

DOI

http://dx.doi.org/10.1186/s12885-018-5256-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111159627

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30611231


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