The learning curve for uniportal video-assisted thoracoscopic anatomical segmentectomy.

OBJECTIVES: The aim of this study is to evaluate the time course and caseload required to achieve proficiency by plotting the learning curve of uniportal thoracoscopic segmentectomy. METHODS: We retrospectively analyzed the first 238 and 159 cases of uniportal thoracoscopic segmentectomy performed by two surgeons (A and B). The learning curves were assessed using cumulative sum analysis. Perioperative outcomes were evaluated as the learning curve developed. Two subtypes of this surgical approach, simple and complex segmentectomy, were separately analyzed. RESULTS: Based on the learning curve, the inflection points occurred at 64 and 90 cases for surgeon A, 71 and 100 cases for surgeon B. Significantly longer operative time (p = .013), length of stay (p = .002), and drainage duration (p = .039) were observed between phase I and phase II compared to phase III for surgeon A. Operative times (p = .001) were significantly reduced for surgeon B. Furthermore, 26-28 and 52-56 cases were necessary to master the simple and complex segmentectomy, respectively. CONCLUSIONS: A total 64-71 cases were required to master uniportal thoracoscopic segmentectomy and 90-100 cases were necessary to achieve proficiency.

Impact of Trainee Involvement on Video-Assisted Thoracoscopic Lobectomy for Cancer.

BACKGROUND: Previous literature in other surgical disciplines regarding the impact of resident and fellow involvement on operative time and outcomes has yielded mixed results. The impact of trainee involvement on minimally invasive thoracic surgery is unknown. This study compared risk-adjusted differences in operative time and outcomes of video-assisted thoracoscopic lobectomy for cancer between cases performed with and without residents and fellows involved. METHODS: All patients undergoing elective video-assisted thoracoscopic lobectomy for cancer between 2008 and 2018 were identified in the Veterans Affairs Surgical Quality Improvement Program database. Patients were stratified into 2 cohorts: cases with residents and fellows involved, and cases performed only by attending surgeons. Primary outcomes included operative time, postoperative hospital length of stay, and composite 30-day morbidity and mortality. Secondary outcomes included factors associated with high and low trainee operative autonomy. RESULTS: A total of 3678 patients met study inclusion criteria. In all, 1780 cases were performed with residents and fellows involved (median postgraduate year, 5; interquartile range, 4-7). Multivariate analysis showed that operative time was significantly shorter in resident- and fellow-involved cases compared with attending-only cases (mean [SD], 3.6 [1.4] versus 3.8 [1.6] hours; P < .001). There were no significant differences in composite 30-day morbidity and mortality (16.0% versus 17.1%; adjusted odds ratio = 0.93; 95% confidence interval, 0.77-1.11; P = .40) or length of stay. Substratification of trainees by postgraduate year resulted in similar findings. Cases performed in July through October and those in the Northeastern United States were associated with low autonomy. CONCLUSIONS: Current training paradigms in thoracic surgery are safe, and the involvement of motivated and skilled trainees with appropriate supervision may benefit operative duration.

Consensus for Thoracoscopic Left Upper Lobectomy-Essential Components and Targets for Simulation.

BACKGROUND: Simulation-based training is a valuable component of cardiothoracic surgical education. Effective curriculum development requires consensus on procedural components and focused attention on specific learning objectives. Through use of a Delphi process, we established consensus on the steps of video-assisted thoracoscopic surgery (VATS) left upper lobectomy and identified targets for simulation. METHODS: Experienced thoracic surgeons were randomly selected for participation. Surgeons voted and commented on the necessity of individual steps comprising VATS left upper lobectomy. Steps with greater than 80% of participants in agreement of their necessity were determined to have established "consensus." Participants voted on the physical or cognitive complexity of each, or both, and chose steps most amenable to focused simulation. RESULTS: Thirty thoracic surgeons responded and joined in the voting process. Twenty operative steps were identified, with surgeons reaching consensus on the necessity of 19. Components deemed most difficult and amenable to simulation included those related to dissection and division of the bronchus, artery, and vein. CONCLUSIONS: Through a Delphi process, surgeons with a variety of practice patterns can achieve consensus on the operative steps of left upper lobectomy and agreement on those most appropriate for simulation. This information can be implemented in the development of targeted simulation for VATS lobectomy.

Human corpse model for video-assisted thoracoscopic lobectomy simulation and training.

OBJECTIVES: Minimally invasive surgery simulation is an integral part of surgical education and skills acquisition. Our goal was to present a new video-assisted thoracic surgery simulation model based on the human corpse as an alternative to animal models. METHODS: Selective cannulation of the cadaver heart was used to fill the pulmonary vessels with a gel to improve the visibility and tactile feedback of the vessels and to simulate any bleeding complications. During surgical simulation, the tutor fills out a questionnaire designed to evaluate the duration of the procedure, the correct completion of the surgical steps and the occurrence of complications. At the end of the simulation session, in order to compare the simulation to clinical practice, all the participants were asked to answer 5 questions using a scale from 1 to 10. RESULTS: We have performed 2 hands-on sessions using 2 human corpses for each session. Each surgeon performed 1 lobectomy using video-assisted thoracoscopic surgery (VATS) first as the operator and at least 1 lobectomy as an assistant. The median operative time was 83 min in favour of surgeons who had previously performed more than 30 video-assisted lobectomies (P = 0.03). All the surgeons were able to complete all the steps of the procedure; surgeons who had performed fewer than 10 lobectomies required more support by the tutors than the other surgeons. The median total score was 40.5 (interquartile range 39-44.8). CONCLUSIONS: We believe that this model includes most of the features necessary to validate a surgical simulator and allows realistic training for performing a VATS lobectomy. This model could be an effective alternative to anaesthetized animals for VATS lobectomy training and simulation.

Switching from Thoracoscopic to Robotic Platform for Lobectomy: Report of Learning Curve and Outcome.

OBJECTIVE: The optimal minimally invasive surgical management for patients with non-small-cell lung cancer (NSCLC) is unclear. For experienced video-assisted thoracoscopic surgery (VATS) surgeons, the increased costs and learning curve are strong barriers for adoption of robotics. We examined the learning curve and outcome of an experienced VATS lobectomy surgeon switching to a robotic platform. METHODS: We conducted a retrospective review to identify patients who underwent a robotic or VATS lobectomy for NSCLC from 2016 to 2018. Analysis of patient demographics, perioperative data, pathological upstaging rates, and robotic approach (RA) learning curve was performed. RESULTS: This study evaluated 167 lobectomies in total, 118 by RA and 49 by VATS. Patient and tumor characteristics were similar. RA had significantly more lymph node harvested (14 versus 10; P = 0.004), more nodal stations sampled (5 versus 4; P < 0.001), and more N1 nodes (8 versus 6; P = 0.010) and N2 nodes (6 versus 4; P = 0.017) resected. With RA, 22 patients were upstaged (18.6%) compared to 5 patients (10.2%) with VATS (P = 0.26). No differences were found in perioperative outcome. Operative time decreased significantly with a learning curve of 20 cases, along with a steady increase in lymph node yield. CONCLUSIONS: RA can be adopted safely by experienced VATS surgeons. Learning curve is 20 cases, with RA resulting in superior lymph node clearance compared to VATS. The potential improvement in upstaging and oncologic resection for NSCLC may justify the associated investments of robotics even for experienced VATS surgeons.

Simultaneous Two-Dimensional and Three-Dimensional Simulation of Thoracoscopic Sleeve Lobectomy: A Quick Understanding of Pitfalls.

Thoracoscopic sleeve lobectomy is challenging, considering the technical difficulty in controlling the needle angle and thread through the port. However, effective simulation of the procedure remains to be established. Here, we describe our first experience with thoracoscopic sleeve lobectomy simulation using a three-dimensional printed thoracic model and a handmade rolled sponge. Owing to the transparent structure, we could simultaneously confirm the suturing technique through the monitor (two-dimensional) and direct vision (three-dimensional). We are certain that our realistic and easily repeatable simulation will assist in developing better technique and conduct feasible thoracoscopic sleeve lobectomy.

Medico-economic impact of robot-assisted lung segmentectomy: what is the cost of the learning curve?

OBJECTIVES: The objective of this study was to assess the learning curve (LC) of robot-assisted lung segmentectomy and to evaluate hospital-related costs. METHODS: We conducted a retrospective study of Robot-assisted thoracic surgery (RATS) segmentectomies performed by 1 surgeon during 5 years. Perioperative and medical device data were collected. The LC, based on operating time, was assessed by Cumulative SUM analysis and an exponential model. Cost of care was estimated using the French National Cost Study method. RESULTS: One hundred and two RATS segmentectomies were included. The LC was completed at ∼30 procedures according to both models without significant difference in patients' characteristics before or after the LC. Mean operative time decreased from 136 min [95% confidence intervals (CI) 124-149] for the first 30 procedures to 97 min (95% CI 88-107) for the last 30 procedures. Mean length of stay decreased non-significantly (P = 0.10 for linear trend) from 8.1 days (95% CI 6.1-11.0) to 6.2 days (95% CI 4.9-7.9). The overall costs for the last 30 procedures as compared with the first 30 did not significantly decrease in the primary economic analysis but significantly decreased (P = 0.02) by €1271 (95% CI -2688 to +108, P = 0.02 for linear trend) after exclusion of 1 outlier (hospitalization-related costs > €10 000). After exclusion of this outlier, costs related to EndoWrist® instruments significantly decreased by €-135 (95% CI -220 to -35, P = 0.004), whereas costs related to clips decreased non-significantly (P = 0.28). CONCLUSIONS: The LC was completed at ∼30 procedures. Inexperienced surgeons may have higher procedure costs, related to consumable medical devices and operating time.

Single-port video-assisted thoracoscopic surgery subsegmentectomy: The learning curve and initial outcome.

BACKGROUND: We report initial surgical results and learning process of single-port video-assisted thoracoscopic surgery (VATS) subsegmentectomy in comparison with segmentectomy in our institution as the presentative of minimal invasiveness and precise resection for early stage lung cancer. METHODS: All patients undergoing single-port VATS sublobar anatomic resection between January 2014 and December 2018 for clinical diagnosis of lung cancer were included. The learning curve was analyzed using the cumulative summation (CUSUM) method. Comparisons were done between those who underwent single-port VATS subsegmentectomy and segmentectomy. RESULTS: A total of 364 patients underwent single-port VATS segmentectomy and 91 patients underwent single-port VATS subsegmentectomy were included. Lung adenocarcinoma was the most common (61.1%) diagnosis. The operative time and blood loss in the subsegmentectomy group were less than the segmentectomy group. The incidence of intraoperative complication was also lower in the subsegmentectomy group. The surgical proficiency was reached at 28 cases in single-port VATS subsegmentectomy. For primary lung cancer, the tumor size in subsegmentectomy group was smaller than segmentectomy group (1.1 cm versus 1.4 cm, p = 0.026). The resection margin was smaller in subsegmentectomy group, and both groups reached adequate margin without significant difference (94.7% versus 95.5%, p = 0.737). During the follow-up period, 2 (3.5%) patients in subsegmentectomy group and 9 (4.1%) patients in segmentectomy group developed distant metastasis. CONCLUSION: Single-port VATS subsegmentectomy is safe and feasible for small-sized lung lesion, providing the benefit of minimal invasiveness, preservation of pulmonary function, and clearance of lymphatic drainage at the intersegmental plane. The surgical proficiency could be achieved based on the experiences in single-port VATS segmentectomy.

Defining Proficiency for The Society of Thoracic Surgeons Participants Performing Thoracoscopic Lobectomy.

BACKGROUND: Parameters defining attainment and maintenance of proficiency in thoracoscopic video-assisted thoracic surgery (VATS) lobectomy remain unknown. To address this knowledge gap, this study investigated the institutional performance curve for VATS lobectomy by using risk-adjusted cumulative sum (Cusum) analysis. METHODS: Using The Society of Thoracic Surgeons General Thoracic Surgery Database, the study investigators identified centers that had performed a total of 30 or more VATS lobectomies. Major morbidity, mortality, and blood transfusion were deemed primary outcomes, with expected incidence derived from risk-adjusted regression models. Acceptable and unacceptable failure rates for outcomes were set a priori according to clinical relevance and informed by regression model output. RESULTS: Between 2001 and 2016, 24,196 patients underwent VATS lobectomy at 159 centers with a median volume of 103 (range, 30 to 760). Overall rates of operative mortality, major morbidity, and transfusion were 1% (244 of 24,189), 17.1% (4,145 of 24,196), and 4% (975 of 24,196), respectively. Of the highest-volume centers (≥100 cases), 84% (65 of 77) and 82 % (63 of 77) (p = 0.48) were proficient by major morbidity standards by their 50th and 100th cases, respectively. Similarly, 92% (71 of 77) and 90% (69 of 77) (p = 0.41) of centers showed proficiency by transfusion standards by their 50th and 100th cases, respectively. Three performance patterns were observed: (1) initial and sustained proficiency, (2) crossing unacceptability thresholds with subsequent improved performance; and (3) crossing unacceptability thresholds without subsequent improved performance. CONCLUSIONS: VATS lobectomy outcomes have improved with lower mortality and transfusion rates. The majority of high-volume centers demonstrated proficiency after 50 cases; however, maintenance of proficiency is not ensured. Cusum provides a simple yet powerful tool that can trigger internal audits and performance improvement initiatives.

Simulation training for lobectomy: a review of current literature and future directions†.

With growing work-time restrictions and public expectations, the Halstedian educational model of 'see one, do one, teach one' is unfit for the modern training of thoracic residents. With the cardiothoracic surgical workforce set to decline by 50% over the next 10 years, new models are desperately needed to help trainees bypass the early error-prone phase of the lobectomy learning curve. In this review, we detail the development and validation of numerous simulators designed to teach trainees an array of skills ranging from basic technical skills to more complex non-technical skills. Given the recent increases in minimally invasive lobectomies, we critique both open and thoracoscopic simulators. We elucidate that whilst there are a growing number of thoracic simulators of varying fidelity available, fundamentally, there is currently a significant lack of well-designed trials validating various simulators for teaching lobectomy despite an awareness of their potential to improve surgical education. Furthermore, there is a void in the simulation training of non-technical skills within thoracic surgery. Encouragingly, there is a definite awareness of the ability of simulation to aid with the training of future thoracic surgical trainees.

Evaluating competency in video-assisted thoracoscopic surgery (VATS) lobectomy performance using a novel assessment tool and virtual reality simulation.

BACKGROUND: Competency-based training has gained ground in surgical training and with it assessment tools to ensure that training objectives are met. Very few assessment tools are available for evaluating performance in thoracoscopic procedures. Video recordings would provide the possibility of blinded assessment and limited rater bias. This study aimed to provide validity evidence for a newly developed and dedicated tool for assessing competency in Video-Assisted Thoracoscopic Surgery (VATS) lobectomy. METHODS: Participants with varying experience with VATS lobectomy were included from different countries. Video recordings from participants' performance of a VATS right upper lobe lobectomy on a virtual reality simulator were rated by three raters using a modified version of a newly developed VATS lobectomy assessment tool (the VATSAT) and analyzed in relation to the unitary framework (content, response process, internal structure, relation to other variables, and consequences of testing). RESULTS: Fifty-three participants performed two consecutive simulated VATS lobectomies on the virtual reality simulator, leaving a total of 106 videos. Content established in previously published studies. Response process Standardized data collection was ensured by using an instructional element, uniform data collection, a special rating program, and automatic generation of the results to a database. Raters were carefully instructed in using the VATSAT, and tryout ratings were carried out. Internal structure Inter-rater reliability was calculated as intra-class correlation coefficients, to 0.91 for average measures (p < 0.001). Test/re-test reliability was calculated as Pearson's r of 0.70 (p < 0.001). G-coefficient was calculated to be 0.79 with two procedures and three raters. By performing D-theory was found that either three procedures rated by two raters or five procedures rated by one rater were enough to reach an acceptable G-coefficient of ≥ 0.8. Relation to other variables Significant differences between groups were found (p < 0.001). The participants' VATS lobectomy experience correlated significantly to their VATSAT score (p = 0.016). Consequences of testing The pass/fail score was found to be 14.9 points by the contrasting groups' method, leaving five false positive (29%) and six false negatives (43%). CONCLUSION: Validity evidence was provided for the VATSAT according to the unitary framework. The VATSAT provides supervisors and assessors with a procedure-specific assessment tool for evaluating VATS lobectomy performance and aids with the decision of when the trainee is ready for unsupervised performance.

Validity assessment of a simulation module for robot-assisted thoracic lobectomy.

BACKGROUND: Training for robot-assisted thoracic lobectomy remains an issue, prompting the development of virtual reality simulators. Our aim was to assess the construct and face validity of a new thoracic lobectomy module on the RobotiX Mentor, a robotic surgery simulator. We also aimed to determine the acceptability and feasibility of implementation into training. METHODS: This prospective, observational, and comparative study recruited novice (n = 16), intermediate (n = 9), and expert (n = 5) participants from King's College London, the 25th European Conference on General Thoracic Surgery, and the Society of Robotic Surgery conference 2018. Each participant completed two familiarization tasks followed by the Guided Robotic Lobectomy module and an evaluation questionnaire. Outcome measures were compared using Mann-Whitney U tests. RESULTS: Construct validity was demonstrated in 12/21 performance evaluation metrics. Significant differences between groups were found in all metrics including: time taken to complete module, vascular injury, respect for tissue, number of stapler firings, time instruments out of view, number of instrument collisions, and number of movements. Participants deemed aspects of the simulator (mean 3/5) and module (3/5) as realistic and rated the simulator as both acceptable (3.8/5) and feasible (3.8/5) for robotic surgical training. CONCLUSIONS: Face validity, acceptability, and feasibility were established for the thoracic lobectomy module of the RobotiX Mentor simulator. Moderate evidence of construct validity was also demonstrated. With further work, this simulation module could help to reduce the initial part of the learning curve for trainees and decrease the risk of errors during live training.

Robotic Anatomical Segmentectomy: An Analysis of the Learning Curve.

BACKGROUND: Robotic segmentectomy has been suggested as a safe and effective management for early lung cancer and benign lung diseases. However, no large case series have documented the learning curve for this technically demanding procedure. METHODS: We conducted a retrospective study for robotic segmentectomy performed by the same surgeon between June 2015 and November 2017. The learning curve was initially analyzed using the cumulative sum (CUSUM) method to assess changes in the total operative times across the case sequence. Subsequently, an in-depth learning curve was generated using the risk-adjusted CUMSUM method, which considered perioperative risk factors and surgical failure. RESULTS: This study included 104 cases, and 87 were malignant. The median operative time was 145 minutes (interquartile range [IQR], 120 to 180) and the median blood loss was 100 mL (IQR, 50 to 100). The median length of stay was 4 days (IQR, 3 to 5). Based on the CUSUM and risk-adjusted CUSUM analyses, the learning curve could be divided into 3 different phases: phase I, the initial learning period (first to 21st operation); phase II, the consolidation period (22nd to 46th operation); and phase III, the experienced period (47th to 104th operation). The operative time and intraoperative blood loss tended to decrease after the initial learning phase. Other perioperative outcomes were not significantly different among the 3 phases. CONCLUSIONS: The learning curve of robotic segmentectomy consisted of 3 phases. The technical competency for assuring feasible perioperative outcomes was achieved in phase II at the 40th operation.

Learning Curve of Robotic Lobectomy for Early-Stage Non-Small Cell Lung Cancer by a Thoracic Surgeon Adept in Open Lobectomy.

OBJECTIVE: The aim of the study was to characterize the clinical outcomes and learning curve during the adoption of a robotic platform for lobectomy for early-stage non-small cell lung cancer by a thoracic surgeon experienced in open thoracotomy. METHODS: Retrospective review of 157 consecutive patients (57 open thoracotomies, 100 robotic lobectomies) treated with lobectomy for clinical stage I or II non-small cell lung cancer between 2007 and 2014. Clinical outcomes were compared between the open thoracotomy group and five consecutive groups of 20 robotic lobectomies. We used the following six metrics to evaluate learning curve: operative time, conversion to open, estimated blood loss, hospitalization duration, overall morbidity, and pathologic nodal upstaging. RESULTS: The robotic and open thoracotomy groups had equivalent preoperative characteristics, except for a higher proportion of clinical stage IA patients in the robotic cohort. The robotic group, as a whole, had lower intraoperative blood loss, less overall morbidity, shorter chest tube duration, and shorter length of hospital stay as compared with the open thoracotomy group. Operative time demonstrated a bimodal learning curve. Conversion rate diminished from 22.5% in the first two robotic groups to 6.7% in the latter three groups. The rate of pathologic nodal upstaging was statistically equivalent to the open thoracotomy group. CONCLUSIONS: Adoption of a robotic platform for lobectomy for early-stage non-small cell lung cancer by an experienced open thoracic surgeon is safe and feasible, with fewer complications, less blood loss, and equivalent nodal sampling rate even during the learning curve. The conversion to open rate significantly dropped after the first 40 robotic lobectomies, and operative time for robotic lobectomy approached open thoracotomy after 60 cases, after a bimodal curve.

One hundred and fifty-six cases of anatomical pulmonary segmentectomy by uniportal video-assisted thoracic surgery: a 2-year learning experience.

OBJECTIVES: Our goal was to explore the outcome of the study and the feasibility for patients of the technique of anatomical pulmonary segmentectomy by uniportal video-assisted thoracic surgery (VATS). METHODS: A total of 156 consecutive patients with lung lesions who received anatomical pulmonary segmentectomy by VATS between 2015 and 2016 in our hospital were enrolled. All the subjects had high-resolution, thin-section chest computed tomography (CT) examinations with 3-dimensional reconstruction, a pulmonary function test, abdominal ultrasonography, electrocardiogram and cardiac ultrasonography. The lung lesion was localized before the operation using CT reconstruction or a hookwire to plan the operative method. RESULTS: Uniportal VATS pulmonary segmentectomy was successfully completed in 151 (96.8%) patients. Most cases involved the right apical and apical posterior segments and the left trisegment. Only 1 patient had a right middle interior segmentectomy, left upper apical anterior segmentectomy or a right lower posteriolateral segmentectomy, respectively. There were 26 cases of benign lesions (including 17 cases of atypical hyperplasia) and 130 cases of non-small-cell lung cancer. Operation time (146 ± 56 vs 113 ± 32 min), blood loss (63 ± 17 vs 54 ± 13 ml) and complication rates (13.5% vs 5.8%) were obviously lower in 2016 compared with 2015 (P < 0.01). In contrast, the preoperative hookwire localization rate was markedly higher in 2016 compared with 2015. CONCLUSIONS: Uniportal VATS anatomical pulmonary segmentectomy is safe and feasible in clinical applications. Compared with the 2- or 3-port method, there were some technical difficulties in the early phase of the learning curve for uniportal VATS that were overcome through a period of practice.

A novel assessment tool for evaluating competence in video-assisted thoracoscopic surgery lobectomy.

BACKGROUND: Specific assessment tools can accelerate trainees' learning through structured feedback and ensure that trainees attain the knowledge and skills required to practice as competent, independent surgeons (competency-based surgical education). The objective was to develop an assessment tool for video-assisted thoracoscopic surgery (VATS) lobectomy by achieving consensus within an international group of VATS experts. METHOD: The Delphi method was used as a structured process for collecting and distilling knowledge from a group of internationally recognized VATS experts. Opinions were obtained in an iterative process involving answering repeated rounds of questionnaires. Responses to one round were summarized and integrated into the next round of questionnaires until consensus was reached. RESULTS: Thirty-one VATS experts were included and four Delphi rounds were conducted. The response rate for each round were 68.9% (31/45), 100% (31/31), 96.8% (30/31), and 93.3% (28/30) for the final round where consensus was reached. The first Delphi round contained 44 items and the final VATS lobectomy Assessment Tool (VATSAT) comprised eight items with rating anchors: (1) localization of tumor and other pathological tissue, (2) dissection of the hilum and veins, (3) dissection of the arteries, (4) dissection of the bronchus, (5) dissection of lymph nodes, (6) retrieval of lobe in bag, (7) respect for tissue and structures, and (8) technical skills in general. CONCLUSION: A novel and dedicated assessment tool for VATS lobectomy was developed based on VATS experts' consensus. The VATSAT can support the learning of VATS lobectomy by providing structured feedback and help supervisors make the important decision of when trainees have acquired VATS lobectomy competencies for independent performance.

Video-Assisted Thoracoscopic Surgery Lobectomy Performed Satisfaction and Complications of Patients During Hands-On Training Courses.

AIM: It was aimed to concern about the satisfaction and procedural complications of patients during the thoracoscopy exist of hands-on training in this present study. PATIENTS AND METHODS: The patients with non-small-cell carcinoma underwent video-assisted thoracoscopic surgery (VATS) lobectomy during hands-on training courses at thoracoscopic center in our hospital and collected from January 2009 and December 2014. The rates of satisfaction and complications of patients were compared from hands-on training group and control group. Potential risk factors associated with post-VATS complications of patients and thoracoscopist-related variables were analyzed. There were 54 patients join in six meetings with hands-on thoracoscopy training in our center. RESULTS: There was no significant difference between patients for hands-on training group (n = 54) and control group (n = 54), including sex, age, BMI, smoking, PpoFEV1 and comorbidities. The satisfaction rate and the incidence of complication were similar between the two groups. CONCLUSION: Univariate analyses showed that elder age, heart disease, chronic obstructive pulmonary disease, long operative time, and first-time mentorship were significantly associated with post-VATS complications of patients in hands-on training group. We should pay more attention to the characteristics of patent and the experience of mentor before VATS hands-on training courses.

High-volume intensive training course: a new paradigm for video-assisted thoracoscopic surgery education.

OBJECTIVES: The emergence of ultra-high-volume centres promises new opportunities for thoracic surgical training. The goal of this study was to investigate the effectiveness of a novel observership course in teaching video-assisted thoracoscopic surgery (VATS) at an ultra-high-volume centre. METHODS: Two-week courses in VATS at a specialist unit now performing >10 000 major lung resections annually (>50 daily on average) were attended by 230 surgeons from around the world from 2013 to 2016. An online survey preserving responder anonymity was completed by 156 attendees (67.8%). RESULTS: Attendees included 37% from Western Europe, 18% from Eastern Europe and 17% from Latin America. Experience with open thoracic surgery for more than 5 years was reported by 67%, but 79% had less than 5 years of VATS lobectomy experience. During the course, 70% observed over 30 uniportal VATS operations (including 38% observing over 50), and 69% attended an animal wet lab. Although 72% of the responders attended the course less than 12 months ago, the number of ports used (P < 0.001), operation times (P < 0.001) and conversion rates (P < 0.001) reported by the responders were reduced significantly after the course. Improvements in the problem areas of tissue retraction, instrumentation, stapler application and coordination with the assistant during VATS were reported by 56%, 57%, 58% and 53%, respectively. Of those who had attended other VATS courses previously, 87% preferred the training from this high-volume course. CONCLUSIONS: High-volume intensive observership training at an ultra-high-volume centre may improve VATS proficiency in a short period of time, and may provide a time-efficient modality for future thoracic surgical training.

Learning curve of totally thoracoscopic pulmonary segmentectomy.

Totally thoracoscopic pulmonary segmentectomy (TTPS) is a feasible and safe technique that requires advanced thoracoscopic skills and knowledge of pulmonary anatomy. However, data describing the learning curve of TTPS have yet to be obtained. In this study, 128 patients who underwent TTPS between September 2010 and December 2013 were retrospectively analyzed to evaluate the learning curve and were divided chronologically into three phases, namely, ascending phase (A), plateau phase (B), and descending phase (C), through cumulative summation (CUSUM) for operative time (OT). Phases A, B, and C comprised 39, 33, and 56 cases, respectively. OT and blood loss decreased significantly from phases A to C (P < 0.01), and the frequency of intraoperative bronchoscopy for target bronchus identification decreased gradually (A, 8/39; B, 4/33; C, 3/56; P = 0.06). No significant differences were observed in demographic factors, conversion, complications, hospital stay, and retrieved lymph nodes among the three phases. Surgical outcomes and techniques improved with experience and volume. CUSUMOT indicated that the learning curve of TTPS should be more than 72 cases.