Background: Bronchoscopy is a key step in the diagnosis and treatment of respiratory diseases. However, the level of expertise varies among different bronchoscopists. Artificial intelligence (AI) may help them identify bronchial lumens. Thus, a bronchoscopy quality-control system based on AI was built to improve the performance of bronchoscopists.Methods: This single-center observational study consecutively collected bronchoscopy videos from Shanghai Chest Hospital and segmented each video into 31 different anatomical locations to develop an AI-assisted system based on a convolutional neural network (CNN) model. We then designed a single-center trial to compare the accuracy of lumen recognition by bronchoscopists with and without the assistance of the AI system.Results: A total of 28,441 qualified images of bronchial lumen were used to train the CNNs. In the cross-validation set, the optimal accuracy of the six models was between 91.83% and 96.62%. In the test set, the visual geometry group 16 (VGG-16) achieved optimal performance with an accuracy of 91.88%, and an area under the curve of 0.995. In the clinical evaluation, the accuracy rate of the AI system alone was 54.30% (202/372). For the identification of bronchi except for segmental bronchi, the accuracy was 82.69% (129/156). In group 1, the recognition accuracy rates of doctors A, B, a and b alone were 42.47%, 34.68%, 28.76%, and 29.57%, respectively, but increased to 57.53%, 54.57%, 54.57%, and 46.24% respectively when combined with the AI system. Similarly, in group 2, the recognition accuracy rates of doctors C, D, c, and d were 37.90%, 41.40%, 30.91%, and 33.60% respectively, but increased to 51.61%, 47.85%, 53.49%, and 54.30% respectively, when combined with the AI system. Except for doctor D, the accuracy of doctors in recognizing lumen was significantly higher with AI assistance than without AI assistance, regardless of their experience (P<0.001).Conclusions: Our AI system could better recognize bronchial lumen and reduce differences in the operation levels of different bronchoscopists. It could be used to improve the quality of everyday bronchoscopies.

Diffuse tracheobronchial neurofibromatosis is a rare condition, and its clinical manifestations include obstruction, cough, wheezing, and dyspnea. Furthermore limited data make treatment decisions challenging. In addition airway papillomatosis tends to affect the upper airway and the larynx in the form of well-delimited lesions leading to obstruction, predominantly in children. Diffuse involvement of the trachea and the bronchial tree and its association with neurofibromatosis have been rarely reported in adults. We present a patient diagnosed with neurofibromatosis of the trachea complicated by papillomatosis.

Objective The presence of micropapillary and solid adenocarcinoma patterns leads to a worse survival and a significantly higher tendency to recur. This study aims to assess the impact of pT descriptor combined with the presence of high-grade components on long-term outcomes in early-stage lung adenocarcinomas. Methods We retrospectively collected data of consecutive resected pT1-T3N0 lung adenocarcinoma from nine European Thoracic Centers. All patients who underwent a radical resection with lymph-node dissection between 2014 and 2017 were included. Differences in Overall Survival (OS) and Disease-Free Survival (DFS) and possible prognostic factors associated with outcomes were evaluated also after performing a propensity score matching to compare tumors containing non-high-grade and high-grade patterns. Results Among 607 patients, the majority were male and received a lobectomy. At least one high-grade histological pattern was seen in 230 cases (37.9%), of which 169 solid and 75 micropapillary. T1a-b-c without high-grade pattern had a significant better prognosis compared to T1a-b-c with high-grade pattern (p = 0.020), but the latter had similar OS compared to T2a (p = 0.277). Concurrently, T1a-b-c without micropapillary or solid patterns had a significantly better DFS compared to those with high-grade patterns (p = 0.034), and it was similar to T2a (p = 0.839). Multivariable analysis confirms the role of T descriptor according to high-grade pattern both for OS (p = 0.024; HR 1.285 95% CI 1.033-1.599) and DFS (p = 0.003; HR 1.196, 95% CI 1.054-1.344, respectively). These results were confirmed after the propensity score matching analysis. Conclusions pT1 lung adenocarcinomas with a high-grade component have similar prognosis of pT2a tumors.

OBJECTIVES: Lung cancer is increasingly diagnosed as a second cancer. Our goal was to analyse the characteristics and outcomes of early-stage resected lung adenocarcinomas in patients with previous cancers (PC) and correlations with adenocarcinoma subtypes. METHODS: We retrospectively reviewed data of patients radically operated on for stage I-II lung adenocarcinoma in 9 thoracic surgery departments between 2014 and 2017. Overall survival (OS) and time to disease relapse were evaluated between subgroups. RESULTS: We included 700 consecutive patients. PC were present in 260 (37.1%). Breast adenocarcinoma, lung cancer and prostate cancer were the most frequent (21.5%, 11.5% and 11.2%, respectively). No significant differences in OS were observed between the PC and non-PC groups (P = 0.378), with 31 and 75 deaths, respectively. Patients with PC had smaller tumours and were more likely to receive sublobar resection and to be operated on with a minimally invasive approach. Previous gastric cancer (P = 0.042) and synchronous PC (when diagnosed up to 6 months before lung adenocarcinoma; P = 0.044) were related, with a worse OS. Colon and breast adenocarcinomas and melanomas were significantly related to a lower incidence of high grade (solid or micropapillary, P = 0.0039, P = 0.005 and P = 0.028 respectively), whereas patients affected by a previous lymphoma had a higher incidence of a micropapillary pattern (P = 0.008). CONCLUSIONS: In patients with PC, we found smaller tumours more frequently treated with minimally invasive techniques and sublobar resection, probably due to a more careful follow-up. The impact on survival is not uniform and predictable; however, breast and colon cancers and melanoma showed a lower incidence of solid or micropapillary patterns whereas patients with lymphomas had a higher incidence of a micropapillary pattern.

Introduction: In the current era of episode-based hospital reimbursements, it is important to determine the impact of hospital size on contemporary national trends in surgical technique and outcomes of lobectomy. Methods: Patients aged >18 y undergoing open and video-assisted thoracoscopic surgery (VATS) lobectomy from 2008 to 2014 were identified using insurance claims data from the National Inpatient Sample. The impact of hospital size on surgical approach and outcomes for both open and VATS lobectomy were analyzed. Results: Over the 7-y period, 202,668 lobectomies were performed nationally, including 71,638 VATS and 131,030 open. Although the overall number of lobectomies decreased (30,058 in 2008 versus 27,340 in 2014, P < 0.01), the proportion of VATS lobectomies increased (24.0% versus 46.9%), and open lobectomies decreased (76.0% versus 53.0%, all P < 0.01). When stratified by hospital size, small hospitals had a significant increase in the proportion of open lobectomies (6.4%-12.2%; P 1/4 0.01) and trend toward increased number of VATS lobectomies (2.7%-12.2%). Annual mortality rates for VATS (range: 1.0%-1.9%) and open (range: 1.9%-2.4%) lobectomy did not significantly differ over time (all P > 0.05) but did decrease among small hospitals (4.1%-1.3% and 5.1%-1.1% for VATS and open, respectively; both P < 0.05). After adjusting for confounders, hospital bed size was not a predictor of in-hospital mortality. Conclusions: Utilization of VATS lobectomies has increased over time, more so among small hospitals. Mortality rates for open lobectomy remain consistently higher than VATS lo bectomy (range 0.4%-1.4%) but did not significantly differ over time. This data can help benchmark hospital performance in the future.

Objective: To evaluate the influence of lung adenocarcinoma second predominant pattern on the maximal standard uptake value (SUVmax) and its prognostic effect in different histologic groups. Methods: We retrospectively collected surgically resected pathologic stage I and II lung adenocarcinoma from nine European institutions. Only patients who underwent preoperative PET-CT and with available information regarding SUVmax of T (SUVmaxT) and N1 (SUVmaxN1) component were included. Results: We enrolled 344 patients with lung adenocarcinoma. SUVmaxT did not show any significant relation according to the second predominant pattern (p = 0.139); this relationship remained nonsignificant in patients with similar predominant pattern. SUVmaxT influenced the disease-free survival in the whole cohort (p = 0.002) and in low- and intermediate-grade predominant pattern groups (p = 0.040 and p = 0.008, respectively). In the high-grade predominant pattern cohort and in the pathologic N1 cases, SUVmaxT lost its prognostic power. SUVmaxN1 did not show any significant correlation with predominant and second predominant patterns and did not have any prognostic impact on DFS. Conclusions: SUVmaxT is influenced only by the adenocarcinoma predominant pattern, but not by second predominant pattern. Concurrently, in high-grade predominant pattern and pN1 group the prognostic power of SUVmaxT becomes nonsignificant.

Background. We analyzed the association between neoadjuvant chemoradiation in patients undergoing bronchial sleeve resection with the incidence of postoperative pulmonary and airway complications. Methods. After instructional review board approval we performed a retrospective review of a prospectively maintained database of 136 patients who underwent sleeve resection in our institution between January 1998 and December 2016. Administration of neoadjuvant chemoradiation treatment was the studied exposure. Outcomes of interest were rates of postoperative pulmonary and airway complications. Nonparametric testing of demographic, surgical, and pathologic characteristics and morbidity was performed. Logistic regression models evaluated postoperative pulmonary complications and airway complications. Analysis was performed using Stata/IC 15. Results. We analyzed 136 patients (18 underwent neoadjuvant chemoradiation), 77 (57%) of whom had non-small cell lung cancer. Postoperative pulmonary complications were observed in 44 of 136 patients (32%). Incidences of pulmonary complications were higher in the neoadjuvant chemoradiation group compared with the non-neoadjuvant radiation group (15/18 patients [83%] vs 29/118 patients [25%], respectively; P < .001). Likewise, rates of pneumonia, atelectasis, respiratory insufficiency, bronchial stenosis, prolonged air leak, bronchopleural fistula, and completion pneumonectomy (2/18 [11%]) were higher in the neoadjuvant chemoradiation group, reaching statistical significance in all cases except bronchial stenosis and prolonged air leak. Only neoadjuvant chemoradiation therapy remained significant for postoperative pulmonary and airway complications on logistic regression (both P < .05). Conclusions. Patients who undergo neoadjuvant chemoradiation before sleeve resection are at an increased risk of pulmonary and airway complications. (C) 2021 by The Society of Thoracic Surgeons

Low dose computed tomography (LDCT) screening, together with the recent advances in targeted and immunotherapies, have shown to improve non-small cell lung cancer (NSCLC) survival. Furthermore, screening has increased the number of early stage-detected tumors, allowing for surgical resection and multimodality treatments when needed. The need for improved sensitivity and specificity of NSCLC screening has led to increased interest in combining clinical and radiological data with molecular data. The development of biomarkers is poised to refine inclusion criteria for LDCT screening programs. Biomarkers may also be useful to better characterize the risk of indeterminate nodules found in the course of screening or to refine prognosis and help in the management of screening detected tumors. The clinical implications of these biomarkers are still being investigated and whether or not biomarkers will be included in further decision-making algorithms in the context of screening and early lung cancer management still needs to be determined. However, it seems clear that there is much room for improvement even in early stage lung cancer disease-free survival (DFS) rates; thus, biomarkers may be the key to refine risk-stratification and treatment of these patients. Clinicians' capacity to register, integrate, and analyze all the available data in both high risk individuals and early stage NSCLC patients will lead to a better understanding of the disease's mechanisms, and will have a dire