Hospital learning curves for robot-assisted surgeries: a population-based analysis.

BACKGROUND: Robot-assisted surgery has been rapidly adopted. It is important to define the learning curve to inform credentialling requirements, training programs, identify fast and slow learners, and protect patients. This study aimed to characterize the hospital learning curve for common robot-assisted procedures. STUDY DESIGN: This cohort study, using administrative health data for Ontario, Canada, included adult patients who underwent a robot-assisted radical prostatectomy (RARP), total robotic hysterectomy (TRH), robot-assisted partial nephrectomy (RAPN), or robotic portal lobectomy using four arms (RPL-4) between 2010 and 2021. The association between cumulative hospital volume of a robot-assisted procedure and major complications was evaluated using multivariable logistic models adjusted for patient characteristics and clustering at the hospital level. RESULTS: A total of 6814 patients were included, with 5230, 543, 465, and 576 patients in the RARP, TRH, RAPN, and RPL-4 cohorts, respectively. There was no association between cumulative hospital volume and major complications. Visual inspection of learning curves demonstrated a transient worsening of outcomes followed by subsequent improvements with experience. Operative time decreased for all procedures with increasing volume and reached plateaus after approximately 300 RARPs, 75 TRHs, and 150 RPL-4s. The odds of a prolonged length of stay decreased with increasing volume for patients undergoing a RARP (OR 0.87; 95% CI 0.82-0.92) or RPL-4 (OR 0.77; 95% CI 0.68-0.87). CONCLUSION: Hospitals may adopt robot-assisted surgery without significantly increasing the risk of major complications for patients early in the learning curve and with an expectation of increasing efficiency.

Hospital volume-outcome relationships for robot-assisted surgeries: a population-based analysis.

BACKGROUND: Associations between procedure volumes and outcomes can inform minimum volume standards and the regionalization of health services. Robot-assisted surgery continues to expand globally; however, data are limited regarding which hospitals should be using the technology. STUDY DESIGN: Using administrative health data for all residents of Ontario, Canada, this retrospective cohort study included adult patients who underwent a robot-assisted radical prostatectomy (RARP), total robotic hysterectomy (TRH), robot-assisted partial nephrectomy (RAPN), or robotic portal lobectomy using 4 arms (RPL-4) between January 2010 and September 2021. Associations between yearly hospital volumes and 90-day major complications were evaluated using multivariable logistic regression models adjusted for patient characteristics and clustering at the level of the hospital. RESULTS: A total of 10,879 patients were included, with 7567, 1776, 724, and 812 undergoing a RARP, TRH, RAPN, and RPL-4, respectively. Yearly hospital volume was not associated with 90-day complications for any procedure. Doubling of yearly volume was associated with a 17-min decrease in operative time for RARP (95% confidence interval [CI] - 23 to - 10), 8-min decrease for RAPN (95% CI - 14 to - 2), 24-min decrease for RPL-4 (95% CI - 29 to - 19), and no significant change for TRH (- 7 min; 95% CI - 17 to 3). CONCLUSION: The risk of 90-day major complications does not appear to be higher in low volume hospitals; however, they may not be as efficient with operating room utilization. Careful case selection may have contributed to the lack of an observed association between volumes and complications.

Artificial Intelligence Algorithm Can Predict Lymph Node Malignancy from Endobronchial Ultrasound Transbronchial Needle Aspiration Images for Non-Small Cell Lung Cancer.

INTRODUCTION: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) for lung cancer staging is operator dependent, resulting in high rates of non-diagnostic lymph node (LN) samples. We hypothesized that an artificial intelligence (AI) algorithm can consistently and reliably predict nodal metastases from the ultrasound images of LNs when compared to pathology. METHODS: In this analysis of prospectively recorded B-mode images of mediastinal LNs during EBUS-TBNA, we used transfer learning to build an end-to-end ensemble of three deep neural networks (ResNet152V2, InceptionV3, and DenseNet201). Model hyperparameters were tuned, and the optimal version(s) of each model was trained using 80% of the images. A learned ensemble (multi-layer perceptron) of the optimal versions was applied to the remaining 20% of the images (Test Set). All predictions were compared to the final pathology from nodal biopsies and/or surgical specimen. RESULTS: A total of 2,569 LN images from 773 patients were used. The Training Set included 2,048 LNs, of which 70.02% were benign and 29.98% were malignant on pathology. The Testing Set included 521 LNs, of which 70.06% were benign and 29.94% were malignant on pathology. The final ensemble model had an overall accuracy of 80.63% (95% confidence interval [CI]: 76.93-83.97%), 43.23% sensitivity (95% CI: 35.30-51.41%), 96.91% specificity (95% CI: 94.54-98.45%), 85.90% positive predictive value (95% CI: 76.81-91.80%), 79.68% negative predictive value (95% CI: 77.34-81.83%), and AUC of 0.701 (95% CI: 0.646-0.755) for malignancy. CONCLUSION: There now exists an AI algorithm which can identify nodal metastases based only on ultrasound images with good overall accuracy, specificity, and positive predictive value. Further optimization with larger sample sizes would be beneficial prior to clinical application.

Robotic Lobectomy Is Cost-effective and Provides Comparable Health Utility Scores to Video-assisted Lobectomy: Early Results of the RAVAL Trial.

OBJECTIVE: The aim of this study was to determine if robotic-assisted lobectomy (RPL-4) is cost-effective and offers improved patient-reported health utility for patients with early-stage non-small cell lung cancer when compared with video-assisted thoracic surgery lobectomy (VATS-lobectomy). BACKGROUND: Barriers against the adoption of RPL-4 in publicly funded health care include the paucity of high-quality prospective trials and the perceived high cost of robotic surgery. METHODS: Patients were enrolled in a blinded, multicentered, randomized controlled trial in Canada, the United States, and France, and were randomized 1:1 to either RPL-4 or VATS-lobectomy. EuroQol 5 Dimension 5 Level (EQ-5D-5L) was administered at baseline and postoperative day 1; weeks 3, 7, 12; and months 6 and 12. Direct and indirect costs were tracked using standard methods. Seemingly Unrelated Regression was applied to estimate the cost effect, adjusting for baseline health utility. The incremental cost-effectiveness ratio was generated by 10,000 bootstrap samples with multivariate imputation by chained equations. RESULTS: Of 406 patients screened, 186 were randomized, and 164 analyzed after the final eligibility review (RPL-4: n=81; VATS-lobectomy: n=83). Twelve-month follow-up was completed by 94.51% (155/164) of participants. The median age was 68 (60-74). There were no significant differences in body mass index, comorbidity, pulmonary function, smoking status, baseline health utility, or tumor characteristics between arms. The mean 12-week health utility score was 0.85 (0.10) for RPL-4 and 0.80 (0.19) for VATS-lobectomy ( P =0.02). Significantly more lymph nodes were sampled [10 (8-13) vs 8 (5-10); P =0.003] in the RPL-4 arm. The incremental cost/quality-adjusted life year of RPL-4 was $14,925.62 (95% CI: $6843.69, $23,007.56) at 12 months. CONCLUSION: Early results of the RAVAL trial suggest that RPL-4 is cost-effective and associated with comparable short-term patient-reported health utility scores when compared with VATS-lobectomy.

Preconditioning program reduces the incidence of prolonged hospital stay after lung cancer surgery: Results from the Move For Surgery randomized clinical trial.

BACKGROUND: Lung cancer resection is associated with high rates of prolonged hospital stay. It is presumed that preconditioning with aerobic exercise can shorten the postoperative duration of hospital stay, but this has not yet been demonstrated in trials after lung cancer surgery. The aim of this study was to perform a RCT to determine whether Move For Surgery (MFS), a home-based and wearable technology-enhanced preconditioning program before lung cancer surgery, is associated with a lower incidence of prolonged hospital stay when compared to usual preoperative care. METHODS: Patients undergoing lung resection for early-stage non-small cell lung cancer were enrolled before surgery into this blinded, single-site RCT, and randomized to either the MFS or control group in a 1 : 1 ratio. Patients in the MFS group were given a wearable activity tracker, and education about deep breathing exercises, nutrition, sleep hygiene, and smoking cessation. Participants were motivated/encouraged to reach incrementally increasing fitness goals remotely. Patients in the control group received usual preoperative care. The primary outcome was the difference in proportion of patients with hospital stay lasting more than 5 days between the MFS and control groups. RESULTS: Of 117 patients screened, 102 (87.2 per cent) were eligible, enrolled, and randomized (51 per trial arm). The majority (95 of 102, 93.1 per cent) completed the trial. Mean(s.d.) age was 67.2(8.8) years and there were 55 women (58 per cent). Type of surgery and rates of thoracotomy were not different between arms. The proportion of patients with duration of hospital stay over 5 days was 3 of 45 (7 per cent) in the MFS arm compared to 12 of 50 (24 per cent) in the control arm (P = 0.021). CONCLUSION: MFS, a home-based and wearable technology-enhanced preconditioning program before lung cancer surgery, decreased the proportion of patients with a prolonged hospital stay. Registration number: NCT03689634 (http://www.clinicaltrials.gov).

After lung cancer surgery, many patients are admitted to hospital for a prolonged amount of time. It is believed that exercises undertaken before surgery can shorten the stay in hospital, but this has not yet been studied. This study aimed to find out whether Move For Surgery (MFS), a home-based exercise (preconditioning) program using wearable technology before lung cancer surgery, can decrease the number of patients who are admitted to hospital for a prolonged amount of time. Patients with lung cancer were invited to enter this trial 3­4 weeks before surgery. They were randomly put into the MFS or control group. Patients in the MFS group were given a wearable activity tracker, and education about deep breathing exercises, nutrition, sleep hygiene, and quitting smoking. Participants were encouraged to reach increasing fitness goals each week. Patients in the control group underwent usual preoperative care. The difference between the MFS and control groups in the proportion of patients with duration of stay in hospital exceeding 5 days was studied. There were 102 participants in total, 51 in each group. The majority (95 of 102, 93.1 per cent) completed the trial. The average age of participants was 67 years, and 58 per cent were women. Type of surgery and number of open operations were no different between groups. The proportion of patients with duration of stay greater than 5 days was 3 of 45 (7 per cent) in the MFS group compared with 12 of 50 (24 per cent) in the control group. Therefore, MFS before lung cancer surgery was shown to decrease the number of patients admitted to hospital for a prolonged amount of time.

The evolving use of robotic surgery: a population-based analysis.

INTRODUCTION: Robotic surgery has integrated into the healthcare system despite limited evidence demonstrating its clinical benefit. Our objectives were (i) to describe secular trends and (ii) patient- and system-level determinants of the receipt of robotic as compared to open or laparoscopic surgery. METHODS: This population-based retrospective cohort study included adult patients who, between 2009 and 2018 in Ontario, Canada, underwent one of four commonly performed robotic procedures: radical prostatectomy, total hysterectomy, thoracic lobectomy, partial nephrectomy. Patients were categorized based on the surgical approach as robotic, open, or laparoscopic for each procedure. Multivariable regression models were used to estimate the temporal trend in robotic surgery use and associations of patient and system characteristics with the surgical approach. RESULTS: The cohort included 24,741 radical prostatectomy, 75,473 total hysterectomy, 18,252 thoracic lobectomy, and 4608 partial nephrectomy patients, of which 6.21% were robotic. After adjusting for patient and system characteristics, the rate of robotic surgery increased by 24% annually (RR 1.24, 95%CI 1.13-1.35): 13% (RR 1.13, 95%CI 1.11-1.16) for robotic radical prostatectomy, 9% (RR 1.09, 95%CI 1.05-1.13) for robotic total hysterectomy, 26% (RR 1.26, 95%CI 1.06-1.50) for thoracic lobectomy and 26% (RR 1.26, 95%CI 1.13-1.40) for partial nephrectomy. Lower comorbidity burden, earlier disease stage (among cancer cases), and early career surgeons with high case volume at a teaching hospital were consistently associated with the receipt of robotic surgery. CONCLUSION: The use of robotic surgery has increased. The study of the real-world clinical outcomes and associated costs is needed before further expanding use among additional providers and hospitals.

Adverse events following robotic surgery: population-based analysis.

BACKGROUND: Robotic surgery was integrated into some healthcare systems despite there being few well designed, real-world studies on safety or benefit. This study compared the safety of robotic with laparoscopic, thoracoscopic, and open approaches in common robotic procedures. METHODS: This was a population-based, retrospective study of all adults who underwent prostatectomy, hysterectomy, pulmonary lobectomy, or partial nephrectomy in Ontario, Canada, between 2008 and 2018. The primary outcome was 90-day total adverse events using propensity score overlap weights, and secondary outcomes were minor or major morbidity/adverse events. RESULTS: Data on 24 741 prostatectomy, 75 473 hysterectomy, 18 252 pulmonary lobectomy, and 6608 partial nephrectomy operations were included. Relative risks for total adverse events in robotic compared with open surgery were 0.80 (95 per cent c.i. 0.74 to 0.87) for radical prostatectomy, 0.44 (0.37 to 0.52) for hysterectomy, 0.53 (0.44 to 0.65) for pulmonary lobectomy, and 0.72 (0.54 to 0.97) for partial nephrectomy. Relative risks for total adverse events in robotic surgery compared with a laparoscopic/thoracoscopic approach were 0.94 (0.77 to 1.15), 1.00 (0.82 to 1.23), 1.01 (0.84 to 1.21), and 1.23 (0.82 to 1.84) respectively. CONCLUSION: The robotic approach is associated with fewer adverse events than an open approach but similar to a laparoscopic/thoracoscopic approach. The benefit of the robotic approach is related to the minimally-invasive approach rather than the platform itself.

Robotic thoracic surgery in Canada: Are patients willing to pay out of pocket?

Robotic-assisted thoracoscopic surgery (RTS) is safe and effective, but is associated with high capital and operating costs that are not reimbursed by the Canadian government. Currently, patients have access to RTS only when it is supported by research or philanthropic funds. In a recent study, we assessed the extent of patient-reported satisfaction with RTS, whether patients would have been willing to pay out of pocket for it, and what factors were associated with patients' willingness to pay. Many patients (290 of 411 [70.56%]) stated that they would have paid the additional $2000 to supplement the government health care coverage to have access to RTS. Factors found to be significantly associated with participants' willingness to pay were an annual income of $60 000 or more (p = 0.034), private insurance coverage (p = 0.007), overall experience with RTS rated as 8 or higher out of 10 (p < 0.001), and overall postoperative postdischarge experience rated as satisfying or very satisfying (p = 0.004).

Can a mobile app technology reduce emergency department visits and readmissions after lung resection? A prospective cohort study.

BACKGROUND: Emergency department (ED) visits and readmissions after thoracic surgery are a major health care problem. We hypothesized that the addition of a novel post-discharge mobile app specific to thoracic surgery to an existing home care program would reduce ED visits and readmissions compared to a home care program alone. METHODS: We conducted a prospective cohort study of patients undergoing major lung resection for malignant disease between November 2016 and May 2018. Patients received either home care alone (control group) or home care plus a patient-input mobile app (intervention group). Primary outcomes were 30-day readmission and ED visit rates. Secondary outcomes included reasons for ED visits and readmissions, perioperative complications, 30-day mortality, anxiety (assessed with the Generalized Anxiety Disorder-7 Scale [GAD-7]) and app-related adverse events. We compared outcomes between the 2 groups, analyzing the data on an intention-to-treat basis. RESULTS: Despite the greater number of open surgery and anatomic resections in the intervention cohort, patients in that group were less likely than those in the control group to visit the ED within 30 days of discharge (24.0% v. 38.8%, p = 0.02). Thirty-day readmission rates were similar between the intervention and control groups (10.1% v. 12.2%, p = 0.6). In a subset of patients, there was no difference between the 2 groups in the proportion of patients with a GAD-7 score of 0 (control group 79.8%, intervention group 79.5%, p = NS), which indicated a similar absence of postdischarge anxiety and depression symptoms in the 2 cohorts. CONCLUSION: The addition of a mobile app to a home care program after thoracic surgery was associated with a reduced frequency of ED visits, in spite of the higher proportions of thoracotomies and anatomic resections in the app cohort. More studies are needed to evaluate the full effect of this new, emerging technology.

Outcomes of patients discharged home with a chest tube after lung resection: a multicentre cohort study.

BACKGROUND: Prolonged air leaks are increasingly treated in the outpatient setting, with patients discharged with chest tubes in place. We evaluated the incidence and risk factors associated with readmission, empyema development and further interventions in this patient population. METHODS: We undertook a retrospective cohort analysis of all patients from 4 tertiary academic centres (January 2014 to December 2017) who were discharged home with a chest tube after lung resection for a postoperative air leak lasting more than 5 days. We analyzed demographics, patient factors, surgical details, hospital readmission, reintervention, antibiotics at discharge, empyema and death. RESULTS: Overall, 253 of 2794 patients were analyzed (9.0% of all resections), including 30 of 759 from centre 1 (4.0%), 67 of 857 from centre 2 (7.8%), 9 of 247 from centre 3 (3.6%) and 147 of 931 from centre 4 (15.8%) (p < 0.001). Our cohort consisted of 56.5% men, and had a median age of 69 (range 19-88) years. Despite similar initial lengths of stay (p = 0.588), 49 patients (19.4%) were readmitted (21%, 0%, 23% and 11% from centres 1 to 4, respectively, p = 0.029), with 18 (36.7%) developing empyema, 11 (22.4%) requiring surgery and 3 (6.1%) dying. Only chest tube duration was a significant predictor of readmission (p < 0.001) and empyema development (p = 0.003), with a nearly threefold increased odds of developing empyema when the chest tube remained in situ for more than 20 days. CONCLUSION: Discharge with chest tube after lung resection is associated with serious adverse events. Given the high risk of empyema development, removal of chest tubes should be considered, when appropriate, within 20 days of surgery. Our data suggest a potential need for proactive postdischarge outpatient management programs to diminish risk of morbidity and death.

Use of Incentive Spirometry in Adults following Cardiac, Thoracic, and Upper Abdominal Surgery to Prevent Post-Operative Pulmonary Complications: A Systematic Review and Meta-Analysis.

BACKGROUND: Currently, consensus on the effectiveness of incentive spirometry (IS) following cardiac, thoracic, and upper abdominal surgery has been based on randomized controlled trials (RCTs) and systematic reviews of lower methodological quality. To improve the quality of the research and to account for the effects of IS following thoracic surgery, in addition to cardiac and upper abdominal surgery, we performed a meta-analysis with thorough application of the Grading of Recommendations Assessment, Development and Evaluation scoring system and extensive reference to the Cochrane Handbook for Systematic Reviews of Interventions. OBJECTIVE: The objective of this study was to determine, with rigorous methodology, whether IS for adult patients (18 years of age or older) undergoing cardiac, thoracic, or upper abdominal surgery significantly reduces30-day post-operative pulmonary complications (PPCs), 30-day mortality, and length of hospital stay (LHS) when compared to other rehabilitation strategies. METHODS: The literature was searched using Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, CINAHL, and Web of Science for RCTs between the databases' inception and March 2019. A random-effect model was selected to calculate risk ratios (RRs) with 95% confidence intervals (CIs). RESULTS: Thirty-one RCTs involving 3,776 adults undergoing cardiac, thoracic, or upper abdominal surgery were included. By comparing the use of IS to other chest rehabilitation strategies, we found that IS alone did not significantly reduce 30-day PPCs (RR = 1.00, 95% CI: 0.88-1.13) or 30-day mortality (RR = 0.73, 95% CI: 0.42-1.25). Likewise, there was no difference in LHS (mean difference = -0.17,95% CI: -0.65 to 0.30) between IS and the other rehabilitation strategies. None of the included trials significantly impacted the sensitivity analysis and publication bias was not detected. CONCLUSIONS: This meta-analysis showed that IS alone likely results in little to no reduction in the number of adult patients with PPCs, in mortality, or in the LHS, following cardiac, thoracic, and upper abdominal surgery.

A novel online education module to teach clinicians how to correctly identify ultrasonographic features of mediastinal lymph nodes during endobronchial ultrasound

Background: Ultrasonographic features can be used to predict mediastinal lymph node malignancy during endobronchial ultrasonography. Despite the validity of using these features for this purpose, the features are not being widely used in clinical practice. This may be attributable to the absence of educational programs that teach clinicians how to identify the features. To address this knowledge gap, we developed an online educational module to teach clinicians how to correctly interpret ultrasonographic features. Methods: The module was designed using corrective feedback and test-enhanced learning theories and distributed to clinicians in relevant specialties. The efficacy of the program was determined by comparing the percentages of correctly identified ultrasonographic features as each clinician progressed through the module. Participants were also asked to self-rate their confidence during the module. Analysis of variance was conducted, and a learning curve and descriptive statistics were generated. Results: Twenty-two of the 29 participants (76%) completed the module. Analysis of variance indicated that the percentage of correctly identified features increased significantly as clinicians completed the module (p = 0.004); this finding is supported by the positive slope of the learning curve. Even though they initially reported some difficulty with identifying certain features, their confidence increased as they progressed through the module. When asked, 86% of participants reported that they found the educational module helpful and 90% reported that they would recommend it to others. Conclusion: Participating clinicians were receptive to the interactive educational module. It enhances clinician skill and confidence in interpreting ultrasonographic features. The results of this study provide the foundation needed to test the validity of the educational module in clinical settings and to further explore clinician preferences for educational programs.

Contexte: Les caractéristiques échographiques permettent de prédire la malignité des ganglions lymphatiques médiastinaux durant l'échographie endobronchique. Malgré leur validité à cette fin, ces caractéristiques ne sont pas très utilisées dans la pratique clinique. Cela pourrait être attribuable à l'absence de programmes de formation pour enseigner aux médecins comment repérer ces caractéristiques. Pour répondre à cette lacune au plan des connaissances, nous avons conçu un module de formation en ligne pour enseigner aux médecins comment interpréter correctement les caractéristiques échographiques. Méthodes: Le module a été conçu selon les théories de rétroaction corrective et d'apprentissage par test et a été distribué aux médecins des spécialités concernées. L'efficacité du programme a été déterminée en comparant les pourcentages de caractéristiques échographiques correctement identifiées à mesure que chaque médecin progressait d'une étape à l'autre du module. Les participants ont aussi été invités à autoévaluer leur degré de confiance pendant la réalisation du module. On a ensuite procédé à une analyse de la variance et on a généré une courbe d'apprentissage et des statistiques descriptives. Résultats: Vingt-deux participants sur 29 (76 %) ont mené le module à terme. L'analyse de la variance a indiqué que le pourcentage de caractéristiques correctement identifiées augmentait significativement à mesure que les médecins finalisaient leur module (p = 0,004); cette observation est confirmée par la courbe d'apprentissage positive. Même s'ils avaient initialement fait état de certaines difficultés à identifier des caractéristiques, leur degré de confiance a augmenté au fur et à mesure qu'ils avançaient. Quatre-vingt-six pour cent des participants ont indiqué avoir trouvé le module utile et 90 % ont dit qu'ils le recommanderaient. Conclusion: Les médecins participants ont bien accueilli ce module éducatif interactif : il améliore les habiletés et le degré de confiance des médecins en leur capacité d'interpréter les caractéristiques échographiques. Les résultats de cette étude servent de point de départ pour tester la validité du module en milieu clinique et pour continuer d'explorer les préférences des médecins en ce qui concerne les programmes de formation.

Recurrence of biliary disease following non-operative management in elderly patients.

INTRODUCTION: The purpose of this study was to determine the proportion of symptomatic recurrence following initial non-operative management of gallstone disease in the elderly and to test possible predictors. METHODS: This is a single institution retrospective chart review of patients 65 years and older with an initial hospital visit (V1) for symptomatic gallstone disease, over a 4-year period. Patients with initial "non-operative" management were defined as those without surgery at V1 and without elective surgery at visit 2 (V2). Baseline characteristics included age, sex, Charlson comorbidity index (CCI), diagnosis, and interventions (ERCP or cholecystostomy) at V1. Outcomes assessed over 1 year were as follows: recurrence (any ER/admission visit following V1), surgery, complications, and mortality. A survival analysis using a Cox proportional hazards model was performed to assess predictors of recurrence. RESULTS: There were 195 patients initially treated non-operatively at V1. Mean age was 78.3 ± 7.8 years, 45.6% were male, and the mean CCI was 2.1 ± 1.9. At V1, 54.4% had a diagnosis of biliary colic or cholecystitis, while 45.6% had a diagnosis of cholangitis, pancreatitis, or choledocholithiasis. 39.5% underwent ERCP or cholecystostomy. Excluding 10 patients who died at V1, 31.3% of patients had a recurrence over the study period. Among these, 43.5% had emergency surgery, 34.8% had complications, and 4.3% died. Median time to first recurrence was 2 months (range 6 days-4.8 months). Intervention at V1 was associated with a lower probability of recurrence (HR 0.3, CI [0.14-0.65]). CONCLUSION: One-third of elderly patients will develop a recurrence following non-operative management of symptomatic biliary disease. These recurrences are associated with significant rates of emergency surgery and morbidity. Percutaneous or endoscopic therapies may decrease the risk of recurrence.

Clinical utility of artificial intelligence-augmented endobronchial ultrasound elastography in lymph node staging for lung cancer.

Objective: Endobronchial ultrasound elastography produces a color map of mediastinal lymph nodes, with the color blue (level 60) indicating stiffness. Our pilot study demonstrated that predominantly blue lymph nodes, with a stiffness area ratio greater than 0.496, are likely malignant. This large-scale study aims to validate this stiffness area ratio compared with pathology. Methods: This is a single-center prospective clinical trial where B-mode ultrasound and endobronchial ultrasound elastography lymph node images were collected from patients undergoing endobronchial ultrasound transbronchial needle aspiration for suspected or diagnosed non-small cell lung cancer. Images were fed to a trained deep neural network algorithm (NeuralSeg), which segmented the lymph nodes, identified the percent of lymph node area above the color blue threshold of level 60, and assigned a malignant label to lymph nodes with a stiffness area ratio above 0.496. Diagnostic statistics and receiver operating characteristic analyses were conducted. NeuralSeg predictions were compared with pathology. Results: B-mode ultrasound and endobronchial ultrasound elastography lymph node images (n = 210) were collected from 124 enrolled patients. Only lymph nodes with conclusive pathology results (n = 187) were analyzed. NeuralSeg was able to predict 98 of 143 true negatives and 34 of 44 true positives, resulting in an overall accuracy of 70.59% (95% CI, 63.50-77.01), sensitivity of 43.04% (95% CI, 31.94-54.67), specificity of 90.74% (95% CI, 83.63-95.47), positive predictive value of 77.27% (95% CI, 64.13-86.60), negative predictive value of 68.53% (95% CI, 64.05-72.70), and area under the curve of 0.820 (95% CI, 0.758-0.883). Conclusions: NeuralSeg was able to predict nodal malignancy based on endobronchial ultrasound elastography lymph node images with high area under the receiver operating characteristic curve and specificity. This technology should be refined further by testing its validity and applicability through a larger dataset in a multicenter trial.

Preoperative mediastinal staging in early-stage lung cancer: Targeted nodal sampling is not inferior to systematic nodal sampling.

OBJECTIVE: To determine whether targeted sampling (TS), which omits biopsy of triple- normal lymph nodes (LNs) on positron emission tomography, computed tomography, and endobronchial ultrasound (EBUS), is noninferior to systematic sampling (SS) of mediastinal LNs during EBUS for staging of patients with early-stage non-small cell lung cancer (NSCLC). METHODS: Patients who are clinical nodal (cN)0-N1 with suspected NSCLC eligible for EBUS based on positron emission tomography/computed tomography were enrolled in this prospective, multicenter trial. During EBUS, all patients underwent TS and then crossed over to SS, whereby at least 3 mediastinal LN stations (4R, 4L, 7) were routinely sampled. Gold standard of comparison was pathologic results. Based on the previous feasibility trial, a noninferiority margin of 6% was established for difference in missed nodal metastasis (MNM) incidence between TS and SS. The McNemar test on paired proportions was used to determine MNM incidence for each sampling method. Analysis was per-protocol using a level of significance of P < .05. RESULTS: Between November 2020 and April 2022, 91 patients were enrolled at 6 high-volume Canadian tertiary care centers. A total of 256 LNs underwent TS and SS. Incidence of MNM was 0.78% in SS and 2.34% in TS, with an absolute difference of 1.56% (95% confidence interval, -0.003% to 4.1%; P = .13). This falls within the noninferiority margin. A total of 6/256 LNs from 4 patients who were not sampled by TS were found to be malignant when sampled by SS. CONCLUSIONS: In high-volume thoracic endosonography centers, TS is not inferior to SS in nodal staging of early-stage NSCLC. This results in change of clinical management for a minority of patients.

Clinical Validation of the Canada Lymph Node Score for Endobronchial Ultrasound.

BACKGROUND: The Canada Lymph Node Score (CLNS) uses 4 sonographic criteria to predict the risk of malignancy in lymph nodes during endobronchial ultrasound. The CLNS may play a role in identifying targets for biopsy or rebiopsy during invasive mediastinal staging for lung cancer. However the CLNS has not yet been prospectively validated in routine clinical practice. METHODS: CLNSs for each lymph node biopsied during endobronchial ultrasound were prospectively captured for 1 year (2019). The CLNS and the presence of malignancy in each node were compared. Univariate binary logistic regression was completed for each ultrasonographic feature and multivariate logistic regression model. RESULTS: CLNSs and diagnostic pathology results were available for 367 lymph nodes. Incidence of malignancy increased with higher scores. Scores ≥ 3 were significantly associated with malignancy (specificity, 84.4%; positive likelihood ratio, 4.0). Area under the curve was 0.76, indicating a good ability of the model to predict presence or absence of malignancy. Nodes scoring < 2 and negative on computed tomography and positron emission tomography were malignant in 10.1%. CONCLUSIONS: The CLNS correlates with the presence or absence of malignancy in thoracic lymph nodes and may serve as an adjunct to currently available methods of invasive and noninvasive mediastinal staging. The CLNS may be most helpful in selecting which nondiagnostic lymph nodes require rebiopsy. There is a significant risk of a false-negative result even with a score of 0, and using a combination of low CLNSs and negative conventional radiology to obviate the need for any initial biopsy remains to be studied in prospective trials.

Are Canadian general surgery residents ready for the 80-hour work week? A nationwide survey.

BACKGROUND: The purpose of this study was to describe Canadian general surgery residents' perceptions regarding potential implementation of work-hour restrictions. METHODS: An ethics review board-approved, Web-based survey was submitted to all Canadian general surgery residency programs between April and July 2009. Questions evaluated the perceived effects of an 80-hour work week on length of training, operative exposure, learning and lifestyle. We used the Fisher exact test to compare senior and junior residents' responses. RESULTS: Of 360 residents, 158 responded (70 seniors and 88 juniors). Among them, 79% reported working 75-100 hours per week. About 74% of seniors believed that limiting their work hours would decrease their operative exposure; 43% of juniors agreed (p < 0.001). Both seniors and juniors thought limiting their work hours would improve their lifestyle (86% v. 96%, p = 0.12). Overall, 60% of residents did not believe limiting work hours would extend the length of their training. Regarding 24-hour call, 60% of juniors thought it was hazardous to their health; 30% of seniors agreed (p = 0.001). Both senior and junior residents thought abolishing 24-hour call would decrease their operative exposure (84% v. 70%, p = 0.21). Overall, 31% of residents supported abolishing 24-hour call. About 47% of residents (41% seniors, 51%juniors, p = 0.26) agreed with the adoption of the 80-hour work week. CONCLUSION: There is a training-level based dichotomy of opinion among general surgery residents in Canada regarding the perceived effects of work hour restrictions. Both groups have voted against abolishing 24-hour call, and neither group strongly supports the implementation of the 80-hour work week.

An Artificial Intelligence Algorithm to Predict Nodal Metastasis in Lung Cancer.

BACKGROUND: Endobronchial ultrasound (EBUS) has features that allow a high accuracy for predicting lymph node (LN) malignancy. However their clinical application remains limited because of high operator dependency. We hypothesized that an artificial intelligence algorithm (NeuralSeg; NeuralSeg Ltd, Hamilton, Ontario, Canada) is capable of accurately identifying and predicting LN malignancy based on EBUS images. METHODS: In the derivation phase EBUS images were segmented twice by an endosonographer and used as controls in 5-fold cross-validation training of NeuralSeg. In the validation phase the algorithm was tested on new images it had not seen before. Logistic regression and receiver operator characteristic curves were used to determine NeuralSeg's capability of discrimination between benign and malignant LNs, using pathologic specimens as the gold standard. RESULTS: Two hundred ninety-eight LNs from 140 patients were used for derivation and 108 LNs from 47 patients for validation. In the derivation cohort NeuralSeg was able to predict malignant LNs with an accuracy of 73.8% (95% confidence interval [CI], 68.4%-78.7%). In the validation cohort NeuralSeg had an accuracy of 72.9% (95% CI, 63.5%-81.0%), specificity of 90.8% (95% CI, 81.9%-96.2%), and negative predictive value of 75.9% (95% CI, 71.5%-79.9%). NeuralSeg showed higher diagnostic discrimination during validation compared with derivation (c-statistic = 0.75 [95% CI, 0.65-0.85] vs 0.63 [95% CI, 0.54-0.72], respectively). CONCLUSIONS: NeuralSeg is able to accurately rule out nodal metastasis and can possibly be used as an adjunct to EBUS when nodal biopsy is not possible or inconclusive. Future work to evaluate the algorithm in a clinical trial is required.

The Effect of Major and Minor Complications After Lung Surgery on Length of Stay and Readmission.

The effect of post-operative adverse events (AEs) on patient outcomes such as length of stay (LOS) and readmissions to hospital is not completely understood. This study examined the severity of AEs from a high-volume thoracic surgery center and its effect on the patient postoperative LOS and readmissions to hospital. This study includes patients who underwent an elective lung resection between September 2018 and January 2020. The AEs were grouped as no AEs, 1 or more minor AEs, and 1 or more major AEs. The effects of the AEs on patient LOS and readmissions were examined using a survival analysis and logistic regression, respectively, while adjusting for the other demographic or clinical variables. Among 488 patients who underwent lung surgery, (Wedge resection [n = 100], Segmentectomy [n = 51], Lobectomy [n = 310], Bilobectomy [n = 10], or Pneumonectomy [n = 17]) for either primary (n = 440) or secondary (n = 48) lung cancers, 179 (36.7%) patients had no AEs, 264 (54.1%) patients had 1 or more minor AEs, and 45 (9.2%) patients had 1 or more major AEs. Overall, the median of LOS was 3 days which varied significantly between AE groups; 2, 4, and 8 days among the no, minor, and major AE groups, respectively. In addition, type of surgery, renal disease (urinary tract infection [UTI], urinary retention, or acute kidney injury), and ASA (American Society of Anesthesiology) score were significant predictors of LOS. Finally, 58 (11.9%) patients were readmitted. Readmission was significantly associated with AE group (P = 0.016). No other variable could significantly predict patient readmission. Overall, postoperative AEs significantly affect the postoperative LOS and readmission rates.

RAVAL trial: Protocol of an international, multi-centered, blinded, randomized controlled trial comparing robotic-assisted versus video-assisted lobectomy for early-stage lung cancer.

BACKGROUND: Retrospective data demonstrates that robotic-assisted thoracoscopic surgery provides many benefits, such as decreased postoperative pain, lower mortality, shorter length of stay, shorter chest tube duration, and reductions in the incidence of common postoperative pulmonary complications, when compared to video-assisted thoracoscopic surgery. Despite the potential benefits of robotic surgery, there are two major barriers against its widespread adoption in thoracic surgery: lack of high-quality prospective data, and the perceived higher cost of it. Therefore, in the face of these barriers, a prospective randomized controlled trial comparing robotic- to video-assisted thoracoscopic surgery is needed. The RAVAL trial is a two-phase, international, multi-centered, blinded, parallel, randomized controlled trial that is comparing robotic- to video-assisted lobectomy for early-stage non-small cell lung cancer that has been enrolling patients since 2016. METHODS: The RAVAL trial will be conducted in two phases: Phase A will enroll 186 early-stage non-small cell lung cancer patients who are candidates for minimally invasive pulmonary lobectomy; while Phase B will continue to recruit until 592 patients are enrolled. After consent, participants will be randomized in a 1:1 ratio to either robotic- or video-assisted lobectomy, and blinded to the type of surgery they are allocated to. Health-related quality of life questionnaires will be administered at baseline, postoperative day 1, weeks 3, 7, 12, months 6, 12, 18, 24, and years 3, 4, 5. The primary objective of the RAVAL trial is to determine the difference in patient-reported health-related quality of life outcomes between the robotic- and video-assisted lobectomy groups at 12 weeks. Secondary objectives include determining the differences in cost-effectiveness, and in the 5-year survival data between the two arms. The results of the primary objective will be reported once Phase A has completed accrual and the 12-month follow-ups are completed. The results of the secondary objectives will be reported once Phase B has completed accrual and the 5-year follow-ups are completed. DISCUSSION: If successfully completed, the RAVAL Trial will have studied patient-reported outcomes, cost-effectiveness, and survival of robotic- versus video-assisted lobectomy in a prospective, randomized, blinded fashion in an international setting. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02617186. Registered 22-September-2015. https://clinicaltrials.gov/ct2/show/NCT02617186.