Predicting complication risks after sleeve lobectomy for non-small cell lung cancer.

Background: Sleeve lobectomy is a challenging procedure with a high risk of postoperative complications. To facilitate surgical decision-making and optimize perioperative treatment, we developed risk stratification models to quantify the probability of postoperative complications after sleeve lobectomy. Methods: We retrospectively analyzed the clinical features of 691 non-small cell lung cancer (NSCLC) patients who underwent sleeve lobectomy between July 2016 and December 2019. Logistic regression models were trained and validated in the cohort to predict overall complications, major complications, and specific minor complications. The impact of specific complications in prognostic stratification was explored via the Kaplan-Meier method. Results: Of 691 included patients, 232 (33.5%) developed complications, including 35 (5.1%) and 197 (28.5%) patients with major and minor complications, respectively. The models showed robust discrimination, yielding an area under the receiver operating characteristic (ROC) curve (AUC) of 0.853 [95% confidence interval (CI): 0.705-0.885] for predicting overall postoperative complication risk and 0.751 (95% CI: 0.727-0.762) specifically for major complication risks. Models predicting minor complications also achieved good performance, with AUCs ranging from 0.78 to 0.89. Survival analyses revealed a significant association between postoperative complications and poor prognosis. Conclusions: Risk stratification models could accurately predict the probability and severity of complications in NSCLC patients following sleeve lobectomy, which may inform clinical decision-making for future patients.

Extended-sleeve resection for endoluminal recurrence of B3 thymoma: does aerogenous spread really exist?

Thymomas are a variant of thymic epithelial tumours. They are considered malignant due to their tendency to local invasion and they showed lower metastatic behaviour. Distal metastasis is rare and an endobronchial mass is a rare presentation. First-line treatment for early-stage thymomas is surgery; for Masaoka-Koga stage III, neoadjuvant or adjuvant chemoradiation therapy should be considered in association with surgery after Multidisciplinary Tumour Board evaluation. We report a rare case of radical resection with type A extended-sleeve lobectomy in a 63-year-old woman who was affected by endobronchial recurrence of B3 thymoma, 31 months after complete and radical thymectomy.

Robotic thymectomy in thymic tumours: a multicentre, nation-wide study.

OBJECTIVES: Robotic thymectomy has been suggested and considered technically feasible for thymic tumours. However, because of small-sample series and the lack of data on long-term results, controversies still exist on surgical and oncological results with this approach. We performed a large national multicentre study sought to evaluate the early and long-term outcomes after robot-assisted thoracoscopic thymectomy in thymic epithelial tumours. METHODS: All patients with thymic epithelial tumours operated through a robotic thoracoscopic approach between 2002 and 2022 from 15 Italian centres were enrolled. Demographic characteristics, clinical, intraoperative, postoperative, pathological and follow-up data were retrospectively collected and reviewed. RESULTS: There were 669 patients (307 men and 362 women), 312 (46.6%) of whom had associated myasthenia gravis. Complete thymectomy was performed in 657 (98%) cases and in 57 (8.5%) patients resection of other structures was necessary, with a R0 resection in all but 9 patients (98.6%). Twenty-three patients (3.4%) needed open conversion, but no perioperative mortality occurred. Fifty-one patients (7.7%) had postoperative complications. The median diameter of tumour resected was 4 cm (interquartile range 3-5.5 cm), and Masaoka stage was stage I in 39.8% of patients, stage II in 56.1%, stage III in 3.5% and stage IV in 0.6%. Thymoma was observed in 90.2% of patients while thymic carcinoma occurred in 2.8% of cases. At the end of the follow-up, only 2 patients died for tumour-related causes. Five- and ten-year recurrence rates were 7.4% and 8.3%, respectively. CONCLUSIONS: Through the largest collection of robotic thymectomy for thymic epithelial tumours we demonstrated that robot-enhanced thoracoscopic thymectomy is a technically sound and safe procedure with a low complication rate and optimal oncological outcomes.

Veno-venous extra-corporeal membrane oxygenation in complex tracheobronchial resection.

Background: Elective extra-corporeal membrane oxygenation (ECMO) is rarely used in thoracic surgery, apart from lung transplantation. The purpose of this study was to summarize our institutional experience with the intraoperative use of veno-venous (VV) ECMO in selected cases of main airway surgery. Methods: We retrospectively analyzed the data of 10 patients who underwent main airway surgery with the support of VV-ECMO between June 2013 and August 2022. Results: Surgical procedures included: three carinal resection and reconstruction with complete preservation of the lung parenchyma, one right upper double-sleeve lobectomy and hemi-carinal resection, and one sleeve resection of the left main bronchus after previous right lower bilobectomy, for thoracic malignancies; four tracheal/carinal repair for extensive traumatic laceration; one extended tracheal resection due to post-tracheostomy stenosis in a patient who had previously undergone a left pneumonectomy. The median intraoperative VV-ECMO use was 162.5 minutes. In three cases with complex resection and reconstruction of the carina and in one case of extended post-tracheostomy stenosis and previous pneumonectomy, high-flow VV-ECMO allowed interruption of ventilation for almost 3 hours. In four patients, VV-ECMO was prolonged in the postoperative period to ensure early extubation. There were no perioperative deaths, no complications related to the use of ECMO and no intraoperative change in the planned type of ECMO. Significant complications occurred only in one patient who developed a small anastomotic dehiscence that led to stenosis and required placement of a Montgomery tube. At the median follow-up of 30 months, all 10 patients were still alive. Conclusions: The use of intraoperative VV-ECMO allows safe and precise performance of main airway surgery with minimal postoperative morbidity in patients requiring complex resections and reconstructions and in cases that cannot be managed with conventional ventilation techniques.

Complex Sleeve Lobectomy Has Lower Postoperative Major Complications Than Pneumonectomy in Patients with Centrally Located Non-Small-Cell Lung Cancer.

BACKGROUND: Standard sleeve lobectomies are recommended over pneumonectomy (PN), but the efficacy and oncological proficiency of complex sleeve lobectomies (CSLs) have not been completely investigated. The aim of this study was to report our experience in CSL in patients affected by a centrally located non-small-cell lung cancer (NSCLC), comparing all the variables and outcomes with PN. METHODS: From 2014 to 2022, we collected the data of patients who underwent PN and CSL for NSCLC, excluding neuroendocrine tumors, salvage surgery or carinal resection. Regression analysis was used to assess the association between procedures and complications; the Kaplan-Meier method and Cox regression analysis were used to evaluate survival and risk factors of reduced survival. RESULTS: We analyzed n = 38 extended sleeve lobectomies and n= 6 double-sleeve lobectomies (CSL group) and n= 60 PNs. We had a trend toward higher postoperative mortality in the PN group (5% vs. 0%, p = 0.13). Major complications and bronchial fistula developed in 21.7% and 6.8% (p = 0.038) and in 6.7% and 4.5% (p = 0.64), respectively. The right side was identified as risk factor for major complications, whereas age > 70 and PN had a trend of association in multivariable analysis. The median OS was similar between the two groups (p = 0.76) and cancer recurrence was the only significant risk factors of reduced OS. Excluding functionally compromised patients, the OS of CSL was better than that of PN (67% vs. 42%, p = 0.25). CONCLUSIONS: Considering that major complications are often associated with mortality after surgery for centrally located NSCLC, CSLs could be considered an alternative to PN while also ensuring comparable survival.

National Multicenter Study on the Comparison of Robotic and Open Thymectomy for Thymic Neoplasms in Myasthenic Patients: Surgical, Neurological and Oncological Outcomes.

Thymectomy is the gold standard in the treatment of thymic neoplasm and plays a key role in the therapeutic path of myasthenia gravis. For years, sternotomy has been the traditional approach for removing anterior mediastinal lesions, although the robotic thymectomy is now widely performed. The literature is still lacking in papers comparing the two approaches and evaluating long-term oncological and neurological outcomes. This study aims to analyze the postoperative results of open and robotic thymectomy for thymic neoplasms in myasthenic patients. Surgical, oncological and neurological data of myasthenic patients affected by thymic neoplasms and surgically treated with extended thymectomy, both with the open and the robotic approach, in six Italian Thoracic Centers between 2011 and 2021 were evaluated. A total of 213 patients were enrolled in the study: 110 (51.6%) were treated with the open approach, and 103 (48.4%) were treated with robotic surgery. The open surgery, compared with the robotic, presented a shorter operating time (p < 0.001), a higher number of postoperative complications (p = 0.038) and longer postoperative hospitalization (p = 0.006). No other differences were observed in terms of surgical, oncological or neurological outcomes. The robotic approach can be considered safe and feasible, comparable to the open technique, in terms of surgical, oncological and neurological outcomes.

A Multicenter Retrospective Case-Control Study on Simple vs Extended Sleeve Lobectomies.

BACKGROUND: Sleeve resection is currently the gold standard procedure for centrally located non-small cell lung cancer (NSCLC). Extended sleeve lobectomy (ESL) consists of an atypical bronchoplasty with resection of >1 lobe and carries several technical difficulties compared with simple sleeve lobectomy (SSL). Our study compared the outcomes of ESL and SSL for NSCLC. METHODS: This multicenter, retrospective, cohort study included 1314 patients who underwent ESL (155 patients) or SSL (1159 patients) between 2000 and 2018. The primary end points were 30-day and 90-day mortality, overall survival (OS), disease-free survival (DFS), and complications. RESULTS: No differences were found between the 2 groups in general characteristics and surgical and survival outcomes. In particular, there were no differences in early and late complication frequency, 30- and 90-day mortality, R status, recurrence, OS (54.26 ± 33.72 months vs 56.42 ± 32.85 months, P = .444), and DFS (46.05 ± 36.14 months vs 47.20 ± 35.78 months, P = .710). Mean tumor size was larger in the ESL group (4.72 ± 2.30 cm vs 3.81 ± 1.78 cm, P < .001). Stage IIIA was the most prevalent stage in ESL group (34.8%), whereas stage IIB was the most prevalent in SSL group (34.3%; P < .001). The multivariate analyses found nodal status was the only independent predictive factor for OS. CONCLUSIONS: ESL gives comparable short- and long-term outcomes to SSL. Appropriate preoperative staging and exclusion of metastases to mediastinal lymph nodes, as well as complete (R0) resection, are essential for good long-term outcomes.

Deep learning-assisted development and validation of an algorithm for predicting the growth of persistent pure ground-glass nodules.

Background: The prediction of the persistent pure ground-glass nodule (pGGN) growth is challenging and limited by subjective assessment and variation across radiologists. A chest computed tomography (CT) image-based deep learning classification model (DLCM) may provide a more accurate growth prediction. Methods: This retrospective study enrolled consecutive patients with pGGNs from January 2010 to December 2020 from two independent medical institutions. Four DLCM algorithms were built to predict the growth of pGGNs, which were extracted from the nodule areas of chest CT images annotated by two radiologists. All nodules were assigned to either the study, the inner validation, or the external validation cohort. Accuracy, sensitivity, specificity, receiver operating characteristic (ROC) curves, and areas under the ROC curve (AUROCs) were analyzed to evaluate our models. Results: A total of 286 patients were included, with 419 pGGN. In total, 197 (68.9%) of the patients were female and the average age was 59.5±12.0 years. The number of pGGN assigned to the study, the inner validation, and the external validation cohort were 193, 130, and 96, respectively. The follow-up time of stable pGGNs for the primary and external validation cohorts were 3.66 (range, 2.01-10.08) and 4.63 (range, 2.00-9.91) years, respectively. Growth of the pGGN occurred in 166 nodules [83 (43%), 39 (30%), and 44 (45%) in the study, inner and external validation cohorts respectively]. The best-performing DLCM algorithm was DenseNet_DR, which achieved AUROCs of 0.79 [95% confidence interval (CI): 0.70, 0.86] in predicting pGGN growth in the inner validation cohort and 0.70 (95% CI: 0.60, 0.79) in the external validation cohort. Conclusions: DLCM algorithms that use chest CT images can help predict the growth of pGGNs.