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Comparative Analysis of Robotic Segmentectomy For Non-Small Cell Lung Cancer: A National Cancer Database Study.

Authors :
Kodia K
Razi SS
Alnajar A
Nguyen DM
Villamizar N
Source :
Innovations (Philadelphia, Pa.) [Innovations (Phila)] 2021 May-Jun; Vol. 16 (3), pp. 280-287. Date of Electronic Publication: 2021 Apr 18.
Publication Year :
2021

Abstract

Objective: The use of segmentectomy for peripheral T ≤2 cm, N0 non-small cell lung cancer (NSCLC) has increased in the last decade. We sought to compare clinical outcomes and overall survival between robotic, video-assisted thoracoscopic surgery (VATS), and open segmentectomy.<br />Methods: The National Cancer Database was queried for patients with clinical T ≤2 cm, N0 NSCLC who underwent segmentectomy via robotic, thoracoscopic (VATS), and open approaches (2010 to 2015). Univariate and Cox regression analyses were used to compare surgical approaches and to evaluate predictors of overall survival. Statistical analyses were done using SPSS Version 21.0.<br />Results: Segmentectomy was performed in 3,888 patients during the study period with 406 robotic, 1,837 VATS, and 1,645 open patients. VATS and robotic segmentectomy were performed more often at academic or comprehensive community cancer programs as compared to community programs ( P < 0.05). Conversion to open thoracotomy was similar between robotic and VATS groups when stratified by hospital volume. Lymph node yield was significantly higher for robotic (median = 6), compared to VATS (median = 5) or open (median = 4; P < 0.001). Length of stay was decreased for robotic versus open ( P < 0.01). No differences in 30-day readmissions ( P = 0.12) were observed among the 3 modalities. Overall survival was similar among groups ( P = 0.18).<br />Conclusions: Robotic segmentectomy provides similar clinical outcomes compared to other standardized approaches for clinical T ≤2 cm, N0 NSCLC. A higher lymph node yield in robotic segmentectomy was not associated with improved survival in this study population.

Details

Language :
English
ISSN :
1559-0879
Volume :
16
Issue :
3
Database :
MEDLINE
Journal :
Innovations (Philadelphia, Pa.)
Publication Type :
Academic Journal
Accession number :
33866844
Full Text :
https://doi.org/10.1177/1556984521997805