2024 Asia Conference on Lung Cancer (ACLC) - Poster & ePosters-PP02.45

PP02.45 - Daiki Shimizu

Pdf Summary

In a study assessing surgical methods for clinical stage IA non-small cell lung cancer (NSCLC) with visceral pleural invasion (VPI), 111 patients underwent either segmentectomy (25 patients, 22.5%) or lobectomy (86 patients, 77.5%) at Chiba University Hospital between 2013 and 2022. The primary aim was to determine if segmentectomy remains a viable alternative to lobectomy for patients with poor prognostic features like VPI, which is difficult to detect preoperatively.<br /><br />The results showed no significant differences in 5-year relapse-free survival (RFS) rates between these surgical methods. In the unadjusted analysis, the 5-year RFS was 55.3% for segmentectomy and 59.2% for lobectomy (P = 0.91). Propensity score-matched analysis showed similar results with 52.8% for segmentectomy and 65.3% for lobectomy (P = 0.60). Overall survival (OS) and cancer-specific survival also did not differ significantly between the two groups. The 5-year OS rates were 57.0% for segmentectomy versus 85.9% for lobectomy (P = 0.07), and cancer-specific survival was 69.6% versus 94.4% (P = 0.13), respectively.<br /><br />The study, however, was limited by its retrospective nature, relatively small sample size, and the short follow-up period for some patients. Despite these limitations, it suggested segmentectomy is a sufficient surgical option compared to lobectomy in managing c-stage IA NSCLC with VPI, with no significant difference in survival outcomes. Future research with larger sample sizes and prospective studies is recommended to better understand these outcomes and validate the findings further. The findings indicate that if VPI is detected post-surgery, completing with a lobectomy may not provide additional survival benefits.

Keywords

NSCLC

segmentectomy

lobectomy

visceral pleural invasion

relapse-free survival

overall survival

cancer-specific survival

Chiba University Hospital

retrospective study

propensity score-matched analysis