Defining minimum work priorities in emergency general surgery in a national cohort.

INTRODUCTION: Emergency general surgery is typically delivered in addition to routine elective care. Models such as acute surgical assessment units and reduced elective working have been explored to reduce the conflict between these competing demands. We aim to identify the models used, the cohorts of patients seen, and the staffing levels in each system. METHODS: Data on general surgery activities were obtained from the National Quality Assurance and Improvement System (NQAIS) and previously published data. The mode of delivery of acute services in other countries was collated from national surgical bodies and published position statements. RESULTS: National on-call services are supra-elective or parallel to elective streams with little dedicated on-call. Internationally, many similar countries are moving to separate acute and elective care to ensure both are performing optimally. Staff in Model 3 hospitals are frequently on call with variable but small operative numbers but represent a combination of high and low acuity. These consultants need a wider breadth of surgical skills than Model 4 hospitals due to a lack of local specialists. CONCLUSION: The majority of national hospitals still work a traditional on-call model, with limited adoption of separate on-call and elective workstreams. Preserving the elective workload is likely to require separation of these priorities, which is difficult with current staffing levels. The use of Acute Surgical Assessment Units (ASAUs) within emergency surgical networks may improve patient outcomes by regionalising the delivery of higher acuity care.

Early findings and strategies for successful implementation of SIMPL workplace-based assessments within vascular surgery residency and fellowship programs.

OBJECTIVE: As medical education systems increasingly move toward competency-based training, it is important to understand the tools available to assess competency and how these tools are utilized. The Society for Improving Medical Professional Learning (SIMPL) offers a smart phone-based assessment system that supports workplace-based assessment of residents' and fellows' operative autonomy, performance, and case complexity. The purpose of this study was to characterize implementation of the SIMPL app within vascular surgery integrated residency (0+5) and fellowship (5+2) training programs. METHODS: SIMPL operative ratings recorded between 2018 and 2022 were collected from all participating vascular surgery training institutions (n = 9 institutions with 5+2 and 0+5 programs; n = 4 institutions with 5+2 program only). The characteristics of programs, trainees, faculty, and SIMPL operative assessments were evaluated using descriptive statistics. RESULTS: Operative assessments were completed for 2457 cases by 85 attendings and 86 trainees, totaling 4615 unique operative assessment ratings. Attendings included dictated feedback in 52% of assessments. Senior-level residents received more assessments than junior-level residents (postgraduate year [PGY]1-3, n = 439; PGY4-5, n = 551). Performance ratings demonstrated increases from junior to senior trainees for both resident and fellow cohorts with "performance-ready" or "exceptional performance" ratings increasing by nearly two-fold for PGY1 to PGY5 residents (28.1% vs 40.6%), and from first- to second-year fellows (PGY6, 46.7%; PGY7, 60.3%). Similar gains in autonomy were demonstrated as trainees progressed through training. Senior residents were more frequently granted autonomy with "supervision only" than junior residents (PGY1, 8.7%; PGY5, 21.6%). "Supervision only" autonomy ratings were granted to 21.8% of graduating fellows. Assessment data included a greater proportion of complex cases for senior compared with junior fellows (PGY6, 20.9% vs PGY7, 26.5%). Program Directors felt that faculty and trainee buy-in were the main barriers to implementation of the SIMPL assessment app. CONCLUSIONS: This is the first description of the SIMPL app as an operative assessment tool within vascular surgery that has been successfully implemented in both residency and fellowship programs. The assessment data demonstrates expected progressive gains in trainees' autonomy and performance, as well as increasing case complexity, across PGY years. Given the selection of SIMPL as the assessment platform for required American Board of Surgery and Vascular Surgery Board Entrustable Professional Activities assessments, understanding facilitators and barriers to implementation of workplace-based assessments using this app is imperative, particularly as we move toward competency-based medical education.

An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators.

INTRODUCTION: Artificial intelligence (AI) can automate certain tasks to improve data collection. Models have been created to annotate the steps of Roux-en-Y Gastric Bypass (RYGB). However, model performance has not been compared with individual surgeon annotator performance. We developed a model that automatically labels RYGB steps and compares its performance to surgeons. METHODS AND PROCEDURES: 545 videos (17 surgeons) of laparoscopic RYGB procedures were collected. An annotation guide (12 steps, 52 tasks) was developed. Steps were annotated by 11 surgeons. Each video was annotated by two surgeons and a third reconciled the differences. A convolutional AI model was trained to identify steps and compared with manual annotation. For modeling, we used 390 videos for training, 95 for validation, and 60 for testing. The performance comparison between AI model versus manual annotation was performed using ANOVA (Analysis of Variance) in a subset of 60 testing videos. We assessed the performance of the model at each step and poor performance was defined (F1-score < 80%). RESULTS: The convolutional model identified 12 steps in the RYGB architecture. Model performance varied at each step [F1 > 90% for 7, and > 80% for 2]. The reconciled manual annotation data (F1 > 80% for > 5 steps) performed better than trainee's (F1 > 80% for 2-5 steps for 4 annotators, and < 2 steps for 4 annotators). In testing subset, certain steps had low performance, indicating potential ambiguities in surgical landmarks. Additionally, some videos were easier to annotate than others, suggesting variability. After controlling for variability, the AI algorithm was comparable to the manual (p < 0.0001). CONCLUSION: AI can be used to identify surgical landmarks in RYGB comparable to the manual process. AI was more accurate to recognize some landmarks more accurately than surgeons. This technology has the potential to improve surgical training by assessing the learning curves of surgeons at scale.

Review of automated performance metrics to assess surgical technical skills in robot-assisted laparoscopy.

INTRODUCTION: Robot-assisted laparoscopy is a safe surgical approach with several studies suggesting correlations between complication rates and the surgeon's technical skills. Surgical skills are usually assessed by questionnaires completed by an expert observer. With the advent of surgical robots, automated surgical performance metrics (APMs)-objective measures related to instrument movements-can be computed. The aim of this systematic review was thus to assess APMs use in robot-assisted laparoscopic procedures. The primary outcome was the assessment of surgical skills by APMs and the secondary outcomes were the association between APM and surgeon parameters and the prediction of clinical outcomes. METHODS: A systematic review following the PRISMA guidelines was conducted. PubMed and Scopus electronic databases were screened with the query "robot-assisted surgery OR robotic surgery AND performance metrics" between January 2010 and January 2021. The quality of the studies was assessed by the medical education research study quality instrument. The study settings, metrics, and applications were analysed. RESULTS: The initial search yielded 341 citations of which 16 studies were finally included. The study settings were either simulated virtual reality (VR) (4 studies) or real clinical environment (12 studies). Data to compute APMs were kinematics (motion tracking), and system and specific events data (actions from the robot console). APMs were used to differentiate expertise levels, and thus validate VR modules, predict outcomes, and integrate datasets for automatic recognition models. APMs were correlated with clinical outcomes for some studies. CONCLUSIONS: APMs constitute an objective approach for assessing technical skills. Evidence of associations between APMs and clinical outcomes remain to be confirmed by further studies, particularly, for non-urological procedures. Concurrent validation is also required.

Are there benefits to maintaining Covid-19 pandemic pathways for the long-term? A surgical assessment unit based study.

BACKGROUND: The Covid-19 pandemic has led to the introduction of conservative non-operative approaches to surgical management favouring community driven care. The aim of this study was to determine the effect of these pathways on patients attending a surgical assessment unit (SAU). METHOD: This was a retrospective observational cohort study. We included all consecutive attendances to the SAU in April 2020 (Covid-19 period) and April 2019 (pre-Covid-19). The Covid-19 period saw a shift in clinical practice towards a more conservative approach to the management of acute surgical presentations. The primary outcome measure was 30-day readmission. The secondary outcome measures were length of hospital stay, inpatient investigations undertaken and 30-day mortality. RESULTS: A total of 451 patients were included. This represented 277 and 174 attendances in pre-Covid-19, and Covid-19 groups respectively. The rates of unplanned 30-day readmission rates in the Covid-19 and pre-Covid-19 periods were 16.7% and 12.6% respectively (P = 0.232). There were significantly fewer planned follow-ups in the Covid-19 (36.2%) compared to the pre-Covid-19 group (49.1%; P < 0.01; OR 1.7, 95% CI 1.15-2.51). There were no significant differences in length of hospital stay (P = 0.802), and 30-day mortality rate (P = 0.716; OR 1.9, 95% CI 0.38-9.54) between the two periods. CONCLUSION: There were no differences in 30-day readmission rates, length of hospital stay, and 30-day mortality with the changes to pathways. Our findings suggest the resource efficient conservative Covid-19 pathways could potentially continue long-term. However, further multi-centre studies with larger sample sizes and longer follow-up duration will be required to validate our findings.

Development of an objective, standardized tool for surgical assessment of deceased donor kidneys: The Cambridge Kidney Assessment Tool.

Quality assessment in kidney transplantation involves inspection to identify negative markers of organ quality. However, there is a paucity of evidence guiding surgical appraisal, and currently there is no evidence to differentiate important features from those that can be safely ignored. We propose a method to standardize surgical assessment and derived a simple rule to rapidly identify kidneys suitable for transplantation. Donor and recipient data were recorded alongside clinical outcomes in a prospectively maintained database. We developed a proforma (Cambridge Kidney Assessment Tool, CKAT) and used it to assess deceased donor kidney transplants. Factors predictive of utilization were identified by multivariate and univariate logistic regression analysis of CKAT-assessment scores, and test performance was evaluated using standard 2 × 2 contingency tables. Ninety-seven kidneys were included at a single center (2013-2014), and 184 CKAT assessments were performed. A CKAT threshold of "Carrell + Perfusion >3" was highly specific (99%) and performed favorably to consultant opinion (specificity 95%). 96% of the kidneys implanted in accordance with the rule survived to 1 year (mean eGFR 45.3 mL/min/1.73 m2 ). To our knowledge, this is the first attempt to objectively define macroscopic features that are relevant to kidney utilization. Common language could support training in organ assessment and ultimately help address unnecessary discard of donor kidneys.

Mechanisms of decision-making in preoperative assessment for older adult prostate cancer patients-A qualitative study.

BACKGROUND AND OBJECTIVE: Little research exists which investigates the contextual factors and hidden influences that inform surgeons and surgical teams decision-making in preoperative assessment when deciding whether to or not to operate on older adult prostate cancer patients living with aging-associated functional declines and illnesses. The aim of this study is to identify and examine the underlying mechanisms that uniquely shape preoperative surgical decision-making strategies concerning older adult prostate cancer patients. METHODS: Qualitative methodologies were used that paired ethnographic field observations with semistructured interviews for data collection. An inductive thematic analysis approach was used to identify, analyze, and describe patterns in the data. RESULTS: Factors underlining surgical decision-making originated from the context of two categories: (1) clinical and surgery-specific factors; and (2) non-patient factors. Thematic subcategories included personal experiences, methods of assessment during medical encounters, anticipation of outcomes, perceptions of preoperative assessment instruments for frailty and multimorbidity, routines and workflow patterns, microcultures, and indirect observation and second-hand knowledge. CONCLUSION: Surgeon's personal experiences has a significant impact on the decision-making processes during preoperative assessments. However, non-patient factors such as institutional microcultures passively and actively influence decision-making process during preoperative assessment.

Surgical resident training in Pakistan and benefits of simulation based training.

Apprentice-mentor is the traditional method for training surgical residents, but with the advent of time, advanced techniques have been developed to train residents. Simulation training is a time-effective method for training residents and is being used globally, but the majority of training hospitals in Pakistan have been practising apprenticeship model since it came into being. This review was planned to demonstrate the results of studies comparing the efficacy of trainees trained via the traditional apprenticeship model versus simulator-based training. Pubmed and Google Scholar were searched. Keywords used were 'simulation-based training', 'laparoscopic simulators' and 'surgical teaching methods'. Articles published between 1995 and 2017 were selected for review. The search was limited to articles published in English language. The review advocates implementation of simulation for training as well as assessment. This can be a magnificent step towards upgrading our healthcare system.

Promoting faster pathways to surgery: a clinical audit of patients with refractory epilepsy.

BACKGROUND: Individuals with epilepsy who cannot be adequately controlled with anti-epileptic drugs, refractory epilepsy, may be suitable for surgical treatment following detailed assessment. This is a complex process and there are concerns over delays in referring refractory epilepsy patients for surgery and subsequent treatment. The aim of this study was to explore the different patient pathways, referral and surgical timeframes, and surgical and medical treatment options for refractory epilepsy patients referred to two Tertiary Epilepsy Clinics in New South Wales, Australia. METHODS: Clinical records were reviewed for 50 patients attending the two clinics, in two large teaching hospitals (25 in Clinic 1; 25 in Clinic 2. A purpose-designed audit tool collected detailed aspects of outpatient consultations and treatment. Patients with refractory epilepsy with their first appointment in 2014 were reviewed for up to six visits until the end of 2016. Data collection included: patient demographics, type of epilepsy, drug management, and assessment for surgery. Outcomes included: decisions regarding surgical and/or medical management, and seizure status following surgery. Patient-reported outcome measures to assess anxiety and depression were collected in Clinic 1 only. RESULTS: Patient mean age was 38.3 years (SD 13.4), the mean years since diagnosis was 17.3 years (SD 9.8), and 88.0% of patients had a main diagnosis of focal epilepsy. Patients were taking an average of 2.3 (SD 0.9) anti-epileptic drugs at the first clinic visit. A total of 17 (34.0%) patients were referred to the surgical team and 11 (22.0%) underwent a neuro-surgical procedure. The average waiting time between visit 1 to surgical referral was 38.8 weeks (SD 25.1), and between visit 1 and the first post-operative visit was 55.8 weeks (SD 25.0). CONCLUSION: The findings confirm international data showing significant waiting times between diagnosis of epilepsy and referral to specialist clinics for surgical assessment and highlight different approaches in each clinic in terms of visit numbers and recorded activities. A standardised pathway and data collection, including patient-reported outcome measures, would provide better evidence for whether promoting earlier referral and assessment for surgery improves the lives of this disease group.

Resident performance in complex simulated urinary catheter scenarios.

BACKGROUND: Urinary catheter insertion is a common procedure performed in hospitals. Improper catheterization can lead to unnecessary catheter-associated urinary tract infections and urethral trauma, increasing patient morbidity. To prevent such complications, guidelines were created on how to insert and troubleshoot urinary catheters. As nurses have an increasing responsibility for catheter placement, resident responsibility has shifted to more complex scenarios. This study examines the clinical decision-making skills of surgical residents during simulated urinary catheter scenarios. We hypothesize that during urinary catheterization, residents will make inconsistent decisions relating to catheter choices and clinical presentations. METHODS: Forty-five general surgery residents (postgraduate year 2-4) in Midwest training programs were presented with three of four urinary catheter scenarios of varying difficulty. Residents were allowed 15 min to complete the scenarios with five different urinary catheter choices. A chi-square test was performed to examine the relation between initial and subsequent catheter choices and to evaluate for consistency of decision-making for each scenario. RESULTS: Eighty-two percent of residents performed scenario A; 49% performed scenario B; 64% performed scenario C, and 82% performed scenario D. For initial attempt for scenario A-C, the 16 French Foley catheter was the most common choice (38%, 54%, 50%, P's < 0.001), whereas for scenario D, the 16 French Coude was the most common choice (37%, P < 0.01). Residents were most likely to be successful in achieving urine output in the initial catheterization attempt (P < 0.001). Chi-square analyses showed no relationship between residents' first and subsequent catheter choices for each scenario (P's > 0.05). CONCLUSIONS: Evaluation of clinical decision-making shows that initial catheter choice may have been deliberate based on patient background, as evidenced by the most popular choice in scenario D. Analyses of subsequent choices in each of the catheterization models reveal inconsistency. These findings suggest a possible lack of competence or training in clinical decision-making with regard to urinary catheter choices in residents.

A simple sensor calibration technique for estimating the 3D pose of endoscopic instruments.

INTRODUCTION: The aim of this study was to describe a simple and easy-to-use calibration method that is able to estimate the pose (tip position and orientation) of a rigid endoscopic instrument with respect to an electromagnetic tracking device attached to the handle. METHODS: A two-step calibration protocol was developed. First, the orientation of the instrument shaft is derived by performing a 360° rotation of the instrument around its shaft using a firmly positioned surgical trocar. Second, the 3D position of the instrument tip is obtained by allowing the tip to come in contact with a planar surface. RESULTS: The results indicate submillimeter accuracy in the estimation of the tooltip position, and subdegree accuracy in the estimation of the shaft orientation, both with respect to a known reference frame. The assets of the proposed method are also highlighted by illustrating an indicative application in the field of augmented reality simulation. CONCLUSIONS: The proposed method is simple, inexpensive, does not require employment of special calibration frames, and has potential applications not only in training systems but also in the operating room.

A smart trocar for automatic tool recognition in laparoscopic surgery.

BACKGROUND: Operating rooms have become increasingly complex environments and more prone to errors because of loss of situation awareness. Adding computer intelligence to the operating room may help overcome these limitations particularly if the system can automatically track which step of an operation a surgeon is performing. To develop such a platform, it is necessary to track which laparoscopic instruments are being used and in which port they are inserted. This article describes the development and validation of a "Smart Trocar" that can automatically perform this function. METHODS: A Smart Trocar system prototype was developed that uses a wireless camera attached to a standard laparoscopic port and custom software algorithms. The system recognizes color wheels attached to the handle of a laparoscopic instrument and compares the unique color pattern to an instrument library for proper tool identification. The system was tested for reliability in a box trainer environment using a variety of tool positions and levels of room light illumination. RESULTS: Correct color classification was achieved in 96.7% of trials. There were no errors in detection of the color wheel in space. In addition, the distance of the color wheel from the camera did not influence results and correct classifications were evenly distributed among the 12 laparoscopic tool positions tested. CONCLUSION: This work describes a Smart Trocar system that identifies which laparoscopic tool is being used and in which port and proves its reliability. The system is an important element of a more comprehensive program being developed to automatically understand what step of an operation a surgeon is performing and use these data to improve situation awareness in the operating room.

Discharge from an emergency department observation unit and a surgical assessment unit: experiences of patients with acute abdominal pain.

AIMS AND OBJECTIVES: To investigate the experiences of patients with acute abdominal pain at discharge from an emergency department observation unit compared with discharge from a surgical assessment unit. BACKGROUND: The increase in emergency department observation units has increased short-term admissions and changed the patient journey from admission and discharge from specialised wards staffed by specialist nurses to admission and discharge from units staffed by emergency nurses. DESIGN: A comparative qualitative interview study. METHODS: The study included 20 patients: 10 from an emergency department observation unit and 10 from a surgical assessment unit, and took a phenomenological-hermeneutic approach. Patients were interviewed at discharge and three months later. RESULTS: More patients from the emergency department observation unit experienced readiness for discharge and had plans for follow-up, compared with patients from the surgical assessment unit. In the surgical assessment unit, more patients were readmitted, had unanswered questions after three months and experienced a follow-up visit at the general practitioner as insufficient. More patients from the surgical assessment unit reported receiving useful self-care advice, compared with those from the emergency department observation unit. CONCLUSION: The experience of emergency department observation unit patients on discharge and follow-up was that the health professionals were more supportive, compared with surgical assessment unit patients, who felt discharge occurred too early, but with more preparation for independent home self-care. These results are an important factor in the patient experience of discharge from hospital and may reflect differences in specialisation of the nurses. RELEVANCE TO CLINICAL PRACTICE: Units discharging patients with acute abdominal pain could be inspired by scheduled fast-track surgery programmes with structured information about admission, treatment and follow-up and easy access to relevant health professionals after discharge.

Do germline genetic variants influence surgical outcomes in drug-resistant epilepsy?

OBJECTIVE: We retrospectively explored patients with drug-resistant epilepsy (DRE) who previously underwent presurgical evaluation to identify correlations between surgical outcomes and pathogenic variants in epilepsy genes. METHODS: Through an international collaboration, we evaluated adult DRE patients who were screened for surgical candidacy. Patients with pathogenic (P) or likely pathogenic (LP) germline variants in genes relevant to their epilepsy were included, regardless of whether the genetic diagnosis was made before or after the presurgical evaluation. Patients were divided into two groups: resective surgery (RS) and non-resective surgery candidates (NRSC), with the latter group further divided into: palliative surgery (vagus nerve stimulation, deep brain stimulation, responsive neurostimulation or corpus callosotomy) and no surgery. We compared surgical candidacy evaluations and postsurgical outcomes in patients with different genetic abnormalities. RESULTS: We identified 142 patients with P/LP variants. After presurgical evaluation, 36 patients underwent RS, while 106 patients were NRSC. Patients with variants in ion channel and synaptic transmission genes were more common in the NRSC group (48 %), compared with the RS group (14 %) (p<0.001). Most patients in the RS group had tuberous sclerosis complex. Almost half (17/36, 47 %) in the RS group had Engel class I or II outcomes. Patients with channelopathies were less likely to undergo a surgical procedure than patients with mTORopathies, but when deemed suitable for resection had better surgical outcomes (71 % versus 41 % with Engel I/II). Within the NRSC group, 40 underwent palliative surgery, with 26/40 (65 %) having ≥50 % seizure reduction after mean follow-up of 11 years. Favourable palliative surgery outcomes were observed across a diverse range of genetic epilepsies. SIGNIFICANCE: Genomic findings, including a channelopathy diagnosis, should not preclude presurgical evaluation or epilepsy surgery, and appropriately selected cases may have good surgical outcomes. Prospective registries of patients with monogenic epilepsies who undergo epilepsy surgery can provide additional insights on outcomes.

"Doing well": Intraoperative entrustable professional activity assessments provided limited technical feedback.

Background: Entrustable Professional Activities (EPAs) allow for the assessment of specific, observable, essential tasks in medical education. Since being developed in non-surgical fields, EPA assessments have been implemented in surgery to explore intraoperative entrustment. However, assessment burden is a significant problem for faculty, and it is unknown whether EPA assessments enable formative technical feedback. EPAs' formative utility could inform how surgical programs facilitate technical feedback for trainees. We aimed to assess the extent to which narrative comments provided through the Fellowship Council (FC) EPA assessments contained technical feedback. Methods: The FC previously collected EPA assessments for subspecialty surgical fellows from September 2020 to October 2022. Two raters reviewed assessments' narrative comments for inclusion of each skill area that makes up part of the Objective Structured Assessment of Technical Skills (OSATS). A third rater reconciled discrepant ratings. Results: During the study period, there were 3302 completed EPA assessments, including 1191 fellow self-assessments, 1124 faculty assessments, and 987 assessments without an identified assessor role. We found that assessments' narrative comments related to a median of two of the seven OSATS areas (IQR:1-2). There were no comments relevant to any of the seven OSATS areas in 16.0 % of all assessments. Conclusions: In this review of narrative comments for EPA assessments from the FC, we found that limited technical feedback of the kind included in the OSATS was provided in many assessments. These results suggest benefit to adjusting the EPA form, enhancing faculty development, or continuing additional types of targeted technical assessment intraoperatively. Key message: This analysis of narrative comments from fellowship EPA assessments showed that many assessments included limited technical feedback. To allow for continued technical feedback for fellows, these results highlight the need for further refinements of the EPA assessment form, additional faculty development, or ongoing use of other types of technical assessment.

Anatomic evaluation of Pancoast tumors using three-dimensional models for surgical strategy development.

OBJECTIVE: Pancoast tumor resection planning requires precise interpretation of 2-dimensional images. We hypothesized that patient-specific 3-dimensional reconstructions, providing intuitive views of anatomy, would enable superior anatomic assessment. METHODS: Cross-sectional images from 9 patients with representative Pancoast tumors, selected from an institutional database, were randomly assigned to presentation as 2-dimensional images, 3-dimensional virtual reconstruction, or 3-dimensional physical reconstruction. Thoracic surgeons (n = 15) completed questionnaires on the tumor extent and a zone-based algorithmic surgical approach for each patient. Responses were compared with surgical pathology, documented surgical approach, and the optimal "zone-specific" approach. A 5-point Likert scale assessed participants' opinions regarding data presentation and potential benefits of patient-specific 3-dimensional models. RESULTS: Identification of tumor invasion of segmented neurovascular structures was more accurate with 3-dimensional physical reconstruction (2-dimensional 65.56%, 3-dimensional virtual reconstruction 58.52%, 3-dimensional physical reconstruction 87.50%, P < .001); there was no difference for unsegmented structures. Classification of assessed zonal invasion was better with 3-dimensional physical reconstruction (2-dimensional 67.41%, 3-dimensional virtual reconstruction 77.04%, 3-dimensional physical reconstruction 86.67%; P = .001). However, selected surgical approaches were often discordant from documented (2-dimensional 23.81%, 3-dimensional virtual reconstruction 42.86%, 3-dimensional physical reconstruction 45.24%, P = .084) and "zone-specific" approaches (2-dimensional 33.33%, 3-dimensional virtual reconstruction 42.86%, 3-dimensional physical reconstruction 45.24%, P = .501). All surgeons agreed that 3-dimensional virtual reconstruction and 3-dimensional physical reconstruction benefit surgical planning. Most surgeons (14/15) agreed that 3-dimensional virtual reconstruction and 3-dimensional physical reconstruction would facilitate patient and interdisciplinary communication. Finally, most surgeons (14/15) agreed that 3-dimensional virtual reconstruction and 3-dimensional physical reconstruction's benefits outweighed potential delays in care for model construction. CONCLUSIONS: Although a consistent effect on surgical strategy was not identified, patient-specific 3-dimensional Pancoast tumor models provided accurate and user-friendly overviews of critical thoracic structures with perceived benefits for surgeons' clinical practices.

Evaluating robotic-assisted partial nephrectomy surgeons with fully convolutional segmentation and multi-task attention networks.

We use machine learning to evaluate surgical skill from videos during the tumor resection and renography steps of a robotic assisted partial nephrectomy (RAPN). This expands previous work using synthetic tissue to include actual surgeries. We investigate cascaded neural networks for predicting surgical proficiency scores (OSATS and GEARS) from RAPN videos recorded from the DaVinci system. The semantic segmentation task generates a mask and tracks the various surgical instruments. The movements from the instruments found via semantic segmentation are processed by a scoring network that regresses (predicts) GEARS and OSATS scoring for each subcategory. Overall, the model performs well for many subcategories such as force sensitivity and knowledge of instruments of GEARS and OSATS scoring, but can suffer from false positives and negatives that would not be expected of human raters. This is mainly attributed to limited training data variability and sparsity.

Demonstration of Accuracy and Feasibility of Remotely Delivered Oximetry: A Blinded, Controlled, Real-World Study of Regional/Rural Children with Obstructive Sleep Apnoea.

Objectives: Evaluate diagnostic accuracy and feasibility of a mail-out home oximetry kit. Design: Patients were referred for both the tertiary/quaternary-centre hospital-delivered oximetry (HDO) and for the mail-out remotely-delivered oximetry (RDO). Quantitative and qualitative data were collected. The COVID-19 pandemic began during this study; therefore, necessary methodological adjustments were implemented. Setting: Patients were first evaluated in Swan Hill, Victoria. RDO kits were sent to home addresses. For the HDO, patients travelled to the Melbourne city area, received the kit, stayed overnight, and returned the kit the following morning. Participants: All consecutive paediatric patients (aged 2−18), diagnosed by a specialist in Swan Hill with obstructive sleep apnoea (OSA) on history/examination, and booked for tonsillectomy +/− adenoidectomy, were recruited. Main outcome measures: Diagnostic accuracy (i.e., comparison of RDO to HDO results) and test delivery time (i.e., days from consent signature to oximetry delivery) were recorded. Patient travel distances for HDO collection were calculated using home/delivery address postcodes and Google® Maps data. Qualitative data were collected with two digital follow-up surveys. Results: All 32 patients that had both the HDO and RDO had identical oximetry results. The HDO mean delivery time was 87.7 days, while the RDO mean delivery time was 23.6 days (p value: <0.001). Qualitatively, 3/28 preferred the HDO, while 25/28 preferred the RDO (n = 28). Conclusions: The remote option is as accurate as the hospital option, strongly preferred by patients, more rapidly completed, and also an ideal investigation delivery method during certain emergencies, such as the COVID-19 pandemic.

Conscientiousness Counts: How Personality Traits Impact Laparoscopic Surgical Skill Improvement in Medical Students.

OBJECTIVE: Studies have shown that personality traits affect cognitive performance; however, little is known about their influence on surgical performance. This study aimed to assess the impact of the Big Five personality traits on medical students' laparoscopic surgical skills. DESIGN: In this prospective study, medical students' laparoscopic surgical skills were assessed using the Hiroshima University Laparoscopic Surgical Assessment Device (HUESAD). The participants performed the HUESAD tasks 10 times before they underwent training. After completing the simulator training, they performed the tasks 10 times. Thereafter, they answered Big Five personality trait questionnaires (Extraversion, Neuroticism, Openness to experience, Conscientiousness, and Agreeableness). SETTING: Academic medical centers. PARTICIPANTS: Forty medical students (10 women) were recruited. The selection criterion was a lack of simulations or clinical experience in laparoscopic procedures. RESULTS: No significant correlations were found between personality traits and HUESAD assessment scores before training. Laparoscopic surgical skills improved significantly after the training (p < 0.001). The Big Five personality traits were correlated with improved laparoscopic surgical performance after training (r = -0.44, p < 0.05). Moreover, statistically significant positive correlations were observed between Conscientiousness and improvement rates (r = 0.36, p < 0.05). CONCLUSIONS: The results suggest that medical students scoring high on Conscientiousness were more likely to have improved laparoscopic surgical skills, regardless of their initial skills. The ability to predict laparoscopic surgical skills would be useful in designing tailor-made training programs for safe and high-quality operations.

COVID-19 and the impact on surgical training and education in Singapore.

The COVID-19 pandemic has affected surgical education and training significantly. The main impact to surgical residency training is the reduction in number of patients (in caseload and case mix) and the conversion of face-to-face meetings into virtual ones for CME and clinical governance-related events. Assessment of surgical residents by examination (namely the Joint Specialty Fellowship Examination with the College of Surgeons of Hong Kong and the Royal College of Surgeons of Edinburgh) was cancelled at the peak of the pandemic, with resumption after acceptable COVID compatible adjustment was made to the format. The migration of CME events into a web-based one has resulted in greater connectivity with more audience. The potential and challenges of virtual format in surgical education include strategy and resources for sustainability; choice of optimal model for effective learning and surgical skills acquisition. In a post-COVID world, the model of blended learning is likely to remain.