Duy Nguyen1, Farid Gharagozloo2, Barbara Tempesta2, Mark Meyer1, Angelika Gruessner3. 1. Division of Cardiothoracic Surgery, The University of Arizona Medical Center, Tucson, AZ, USA. 2. Global Robotics Institute, Florida Hospital Celebration Health and University of Central Florida, Orlando, FL, USA. 3. Department of Biostatistics, The University of Arizona Medical Center, Tucson, AZ, USA.
Abstract
OBJECTIVES: Anatomical segmentectomy is advocated for curative resection in select patients. We investigated the long-term results of robotic anatomical segmentectomy with mediastinal nodal dissection in patients with early-stage lung cancer. METHODS: We retrospectively reviewed patients who underwent robotic anatomical segmentectomy for early-stage non-small-cell lung cancer (NSCLC). The follow-up data were obtained to determine survival and statistically significant risk factors in both univariable and multivariable models. RESULTS: Seventy-one patients had clinical stage I NSCLC (36 men, 35 women, mean age 70 ± 12 years). All patients underwent R0 resection. The mean operating time was 134 min. Ten of 71 (14%) patients were upstaged. Eight of 71 (11%) patients were upstaged due to the size of tumour in the pathological specimen, and 2 of 71 (3%) patients were upstaged due to microscopic N2 nodal metastasis. Median hospitalization was 4 days (2-31 days). Complication rate was 29%. There were no complications attributable to the surgical robot. No patient died within 90 days. Mean follow-up was 54 months (range 2 months to 9 years). The overall 5-year survival was 43%, whereas lung cancer-specific 5-year survival was 55%. The 5-year lung cancer-specific survival for pathological stage I disease was 73%. Local or mediastinal recurrence occurred in 4 of 71(5%) patients. Pathological upstaging or recurrence resulted in 0% 5-year survival. The univariable and multivariable analyses showed that advanced age and pathological upstaging were statistically significant risk factors for lung cancer-specific death. CONCLUSIONS: Robotic anatomical segmentectomy with mediastinal nodal dissection is a safe and feasible procedure. Accurate preoperative clinical staging is of critical importance for long-term survival.
OBJECTIVES: Anatomical segmentectomy is advocated for curative resection in select patients. We investigated the long-term results of robotic anatomical segmentectomy with mediastinal nodal dissection in patients with early-stage lung cancer. METHODS: We retrospectively reviewed patients who underwent robotic anatomical segmentectomy for early-stage non-small-cell lung cancer (NSCLC). The follow-up data were obtained to determine survival and statistically significant risk factors in both univariable and multivariable models. RESULTS: Seventy-one patients had clinical stage I NSCLC (36 men, 35 women, mean age 70 ± 12 years). All patients underwent R0 resection. The mean operating time was 134 min. Ten of 71 (14%) patients were upstaged. Eight of 71 (11%) patients were upstaged due to the size of tumour in the pathological specimen, and 2 of 71 (3%) patients were upstaged due to microscopic N2 nodal metastasis. Median hospitalization was 4 days (2-31 days). Complication rate was 29%. There were no complications attributable to the surgical robot. No patient died within 90 days. Mean follow-up was 54 months (range 2 months to 9 years). The overall 5-year survival was 43%, whereas lung cancer-specific 5-year survival was 55%. The 5-year lung cancer-specific survival for pathological stage I disease was 73%. Local or mediastinal recurrence occurred in 4 of 71(5%) patients. Pathological upstaging or recurrence resulted in 0% 5-year survival. The univariable and multivariable analyses showed that advanced age and pathological upstaging were statistically significant risk factors for lung cancer-specific death. CONCLUSIONS: Robotic anatomical segmentectomy with mediastinal nodal dissection is a safe and feasible procedure. Accurate preoperative clinical staging is of critical importance for long-term survival.
Authors: Zied Chaari; François Montagne; Matthieu Sarsam; Benjamin Bottet; Philippe Rinieri; Andre Gillibert; Jean Marc Baste Journal: Interact Cardiovasc Thorac Surg Date: 2022-06-01