[Comparison of Short-term Outcomes of Lung Segmentectomy by Robotic-assisted and Video-assisted Thoracoscopic Surgery].

BACKGROUND: Lung segmentectomy is increasingly used to resect lung nodules. Video-assisted thoracic surgery (VATS) is widely chosen to performing lung segmentectomy, while robotic assisted thoracoscopic (RATS) was also one useful and practical method. There article was intended to compared the short-time outcomes of RATS and VATS in lung segmentectomy. METHODS: The patients with lung nodules underwent segmentectomy by either RATS or VATS from January 2016 to April 2017 were studied. Baseline characteristics and short-time outcomes (dissected lymph nodes, postoperative duration of drainage, postoperative hospital stay, incidence of pro-longed air leak, atrial fibrillation and pneumonia) were compared. RESULTS: 166 patients were included in this study: 81 patients underwent RATS segmentectomy while 85 underwent VATS segmentectomy. The number of lymph nodes dissected in RATS group was more than in VATS group ï¼»(13.07±5.08) vs (10.81±5.74), P=0.010ï¼½. The incidence of some postoperative complications such as pro-longed air leak, atrial fibrillation was not significant different between the two approaches. CONCLUSIONS: Compared with VATS, RATS has similar safety and operability, and the number of lymphadenectomy is significantly more than that of VATS.

Short-term outcomes of typical versus atypical lung segmentectomy by minimally invasive surgeries.

BACKGROUND: Segmentectomy is increasingly used to resect lung nodules. Robotic-assisted thoracic surgery (RATS) is considered a safe and practical method for segmentectomy. Few studies have compared robotic surgery and video-assisted thoracic surgery (VATS) for lung segmentectomy. METHOD: We retrospectively examined 215 consecutive patients who underwent typical (88 patients) or atypical (128 patients) segmentectomy by either robotic surgery or VATS. The postoperative characteristics including operation time, blood loss, pneumonia, tumor size, lymph nodes harvested, chest tube duration, prolonged air leak, atrial fibrillation, and postoperative hospital stay were recorded. RESULTS: A total of 88 patients underwent typical segmentectomy, while 127 patients underwent atypical segmentectomy. A greater number of lymph nodes were resected via RATS than by VATS (13.24 ± 4.84 vs. 11.71 ± 3.89; P = 0.018). The operation time for typical segmentectomy was shorter than that for atypical segmentectomy (115.69 ± 22.32 vs. 131.68 ± 22.52; P = 0). No significant differences were found between RATS and VATS in terms of chest drainage duration and postoperative hospital stay. The incidence of postoperative complications including prolonged air leak and atrial fibrillation was not significantly different between typical segmentectomy and atypical segmentectomy. CONCLUSION: Atypical segmentectomy is more complicated than typical segmentectomy, which may lead to increases in complications and operation time. Robotic surgery was safe and practical for segmentectomy compared to VATS and more lymph nodes could be dissected by RATS without increasing the risk of postoperative complications.

Predictive value of a prognostic model based on pathologic features in lung invasive adenocarcinoma.

OBJECTIVES: Tumor spread through air spaces (STAS) was recently reported as a novel risk factor for the prognosis of patients with resected lung adenocarcinoma that indicates invasive tumor behavior. The purpose of this study was to build a prognostic model consisting of STAS and other pathologic features including visceral pleural invasion (VPI), vascular invasion (VI) and histological subtype (HS) in lung invasive adenocarcinoma. MATERIALS AND METHODS: A total of 289 patients with resected lung invasive adenocarcinomas ≤4 cm were analyzed retrospectively to evaluate the potential prognostic value of STAS, VPI, VI and HS for recurrence-free survival (RFS) and overall survival (OS). RESULTS: STAS was observed in 143 patients (49.5%). Univariate and multivariate analysis showed that STAS, VPI, VI and HS were significant prognostic factors for poorer RFS and OS. Thus, a prognostic model including STAS, VPI, VI and HS was built using the results of the multivariate analysis. Nomograms were developed to predict the 5-year RFS and OS. The concordance index (C-index) of the prognostic model was 0.8122 for predicting 5-year RFS and 0.8539 for predicting 5-year OS in the internal validation. Moreover, the calibration curves for the 5-year RFS and OS showed that the nomograms were calibrated well. In addition, a similar predicted capability of the prognostic model was observed in the validation cohort. CONCLUSION: STAS, VPI, VI and HS were significant prognostic factors for poorer RFS and OS. The prognostic model including STAS, VPI, VI and HS could effectively predict prognosis.