Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation.

OBJECTIVE: Surgical skill assessment tools such as the End-to-End Assessment of Suturing Expertise (EASE) can differentiate a surgeon's experience level. In this simulation-based study, we define a competency benchmark for intraoperative robotic suturing using EASE as a validated measure of performance. DESIGN: Participants conducted a dry-lab vesicourethral anastomosis (VUA) exercise. Videos were each independently scored by 2 trained, blinded reviewers using EASE. Inter-rater reliability was measured with prevalence-adjusted bias-adjusted Kappa (PABAK) using 2 example videos. All videos were reviewed by an expert surgeon, who determined if the suturing skills exhibited were at a competency level expected for residency graduation (pass or fail). The Contrasting Group (CG) method was then used to set a pass/fail score at the intercept of the pass and fail cohorts' EASE score distributions. SETTING: Keck School of Medicine, University of Southern California. PARTICIPANTS: Twenty-six participants: 8 medical students, 8 junior residents (PGY 1-2), 7 senior residents (PGY 3-5) and 3 attending urologists. RESULTS: After 1 round of consensus-building, average PABAK across EASE subskills was 0.90 (Range 0.67-1.0). The CG method produced a competency benchmark EASE score of >35/39, with a pass rate of 10/26 (38%); 27% were deemed competent by expert evaluation. False positives and negatives were defined as medical students who passed and attendings who failed the assessment, respectively. This pass/fail score produced no false positives or negatives, and fewer JR than SR were considered competent by both the expert and CG benchmark. CONCLUSIONS: Using an absolute standard setting method, competency scores were set to identify trainees who could competently execute a standardized dry-lab robotic suturing exercise. This standard can be used for high stakes decisions regarding a trainee's technical readiness for independent practice. Future work includes validation of this standard in the clinical environment through correlation with clinical outcomes.

Urinary Bladder "Melanosis": A Case Report and Review of the Literature.

Melanosis of the urinary bladder, so-called melanosis vesicae, is a rare condition characterized by dark, velvety bladder mucosa observed by cystoscopy examination. Up to 20 examples have been reported in the English literature, and the etiology of this disease still needs to be discovered. We present an 82-year-old woman with a history of pelvic organ prolapse-associated urinary symptoms. The patient was found to have pigmented urinary bladder mucosa on cystoscopy and underwent a total hysterectomy and bladder mucosal biopsy. Histologically, pigmented granules were evident in the bladder stroma and epithelium, highlighted by Periodic Acid-Schiff (PAS) stain, suggestive of lipofuscin in nature. We outline the diagnostic features of bladder melanosis, discuss the diagnostic mimickers, and thoroughly review the literature on the subject.

A Multi-institution Study on the Association of Virtual Reality Skills with Continence Recovery after Robot-assisted Radical Prostatectomy.

BACKGROUND: Virtual reality (VR) simulators are increasingly being used for surgical skills training. It is unclear what skills are best improved via VR, translate to live surgical skills, and influence patient outcomes. OBJECTIVE: To assess surgeons in VR and live surgery using a suturing assessment tool and evaluate the association between technical skills and a clinical outcome. DESIGN, SETTING, AND PARTICIPANTS: This prospective five-center study enrolled participants who completed VR suturing exercises and provided live surgical video. Graders provided skill assessments using the validated End-To-End Assessment of Suturing Expertise (EASE) suturing evaluation tool. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: A hierarchical Poisson model was used to compare skill scores among cohorts and evaluate the association of scores with clinical outcomes. Spearman's method was used to assess correlation between VR and live skills. RESULTS AND LIMITATIONS: Ten novices, ten surgeons with intermediate expertise (median 64 cases, interquartile range [IQR] 6-80), and 26 expert surgeons (median 850 cases, IQR 375-3000) participated in this study. Intermediate and expert surgeons were significantly more likely to have ideal scores in comparison to novices for the subskills needle hold angle, wrist rotation, and wrist rotation needle withdrawal (p < 0.01). For both intermediate and expert surgeons, there was positive correlation between VR and live skills for needle hold angle (p < 0.05). For expert surgeons, there was a positive association between ideal scores for VR needle hold angle and driving smoothness subskills and 3-mo continence recovery (p < 0.05). Limitations include the size of the intermediate surgeon sample and clinical data limited to expert surgeons. CONCLUSIONS: EASE can be used in VR to identify skills to improve for trainee surgeons. Technical skills that influence postoperative outcomes may be assessable in VR. PATIENT SUMMARY: This study provides insights into surgical skills that translate from virtual simulation to live surgery and that have an impact on urinary continence after robot-assisted removal of the prostate. We also highlight the usefulness of virtual reality in surgical education.

Development of a Classification System for Live Surgical Feedback.

Importance: Live feedback in the operating room is essential in surgical training. Despite the role this feedback plays in developing surgical skills, an accepted methodology to characterize the salient features of feedback has not been defined. Objective: To quantify the intraoperative feedback provided to trainees during live surgical cases and propose a standardized deconstruction for feedback. Design, Setting, and Participants: In this qualitative study using a mixed methods analysis, surgeons at a single academic tertiary care hospital were audio and video recorded in the operating room from April to October 2022. Urological residents, fellows, and faculty attending surgeons involved in robotic teaching cases during which trainees had active control of the robotic console for at least some portion of a surgery were eligible to voluntarily participate. Feedback was time stamped and transcribed verbatim. An iterative coding process was performed using recordings and transcript data until recurring themes emerged. Exposure: Feedback in audiovisual recorded surgery. Main Outcomes and Measures: The primary outcomes were the reliability and generalizability of a feedback classification system in characterizing surgical feedback. Secondary outcomes included assessing the utility of our system. Results: In 29 surgical procedures that were recorded and analyzed, 4 attending surgeons, 6 minimally invasive surgery fellows, and 5 residents (postgraduate years, 3-5) were involved. For the reliability of the system, 3 trained raters achieved moderate to substantial interrater reliability in coding cases using 5 types of triggers, 6 types of feedback, and 9 types of responses (prevalence-adjusted and bias-adjusted κ range: a 0.56 [95% CI, 0.45-0.68] minimum for triggers to a 0.99 [95% CI, 0.97-1.00] maximum for feedback and responses). For the generalizability of the system, 6 types of surgical procedures and 3711 instances of feedback were analyzed and coded with types of triggers, feedback, and responses. Significant differences in triggers, feedback, and responses reflected surgeon experience level and surgical task being performed. For example, as a response, attending surgeons took over for safety concerns more often for fellows than residents (prevalence rate ratio [RR], 3.97 [95% CI, 3.12-4.82]; P = .002), and suturing involved more errors that triggered feedback than dissection (RR, 1.65 [95% CI, 1.03-3.33]; P = .007). For the utility of the system, different combinations of trainer feedback had associations with rates of different trainee responses. For example, technical feedback with a visual component was associated with an increased rate of trainee behavioral change or verbal acknowledgment responses (RR, 1.11 [95% CI, 1.03-1.20]; P = .02). Conclusions and Relevance: These findings suggest that identifying different types of triggers, feedback, and responses may be a feasible and reliable method for classifying surgical feedback across several robotic procedures. Outcomes suggest that a system that can be generalized across surgical specialties and for trainees of different experience levels may help galvanize novel surgical education strategies.

Severity Grading Systems for Intraoperative Adverse Events. A Systematic Review of the Literature and Citation Analysis.

INTRODUCTION: The accurate assessment and grading of adverse events (AE) is essential to ensure comparisons between surgical procedures and outcomes. The current lack of a standardized severity grading system may limit our understanding of the true morbidity attributed to AEs in surgery. The aim of this study is to review the prevalence in which intraoperative adverse event (iAE) severity grading systems are used in the literature, evaluate the strengths and limitations of these systems, and appraise their applicability in clinical studies. METHODS: A systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines. PubMed, Web of Science, and Scopus were queried to yield all clinical studies reporting the proposal and/or the validation of iAE severity grading systems. Google Scholar, Web of Science, and Scopus were searched separately to identify the articles citing the systems to grade iAEs identified in the first search. RESULTS: Our search yielded 2957 studies, with 7 studies considered for the qualitative synthesis. Five studies considered only surgical/interventional iAEs, while 2 considered both surgical/interventional and anesthesiologic iAEs. Two included studies validated the iAE severity grading system prospectively. A total of 357 citations were retrieved, with an overall self/nonself-citation ratio of 0.17 (53/304). The majority of citing articles were clinical studies (44.1%). The average number of citations per year was 6.7 citations for each classification/severity system, with only 2.05 citations/year for clinical studies. Of the 158 clinical studies citing the severity grading systems, only 90 (56.9%) used them to grade the iAEs. The appraisal of applicability (mean%/median%) was below the 70% threshold in 3 domains: stakeholder involvement (46/47), clarity of presentation (65/67), and applicability (57/56). CONCLUSION: Seven severity grading systems for iAEs have been published in the last decade. Despite the importance of collecting and grading the iAEs, these systems are poorly adopted, with only a few studies per year using them. A uniform globally implemented severity grading system is needed to produce comparable data across studies and develop strategies to decrease iAEs, further improving patient safety.

Automated Capture of Intraoperative Adverse Events Using Artificial Intelligence: A Systematic Review and Meta-Analysis.

Intraoperative adverse events (iAEs) impact the outcomes of surgery, and yet are not routinely collected, graded, and reported. Advancements in artificial intelligence (AI) have the potential to power real-time, automatic detection of these events and disrupt the landscape of surgical safety through the prediction and mitigation of iAEs. We sought to understand the current implementation of AI in this space. A literature review was performed to PRISMA-DTA standards. Included articles were from all surgical specialties and reported the automatic identification of iAEs in real-time. Details on surgical specialty, adverse events, technology used for detecting iAEs, AI algorithm/validation, and reference standards/conventional parameters were extracted. A meta-analysis of algorithms with available data was conducted using a hierarchical summary receiver operating characteristic curve (ROC). The QUADAS-2 tool was used to assess the article risk of bias and clinical applicability. A total of 2982 studies were identified by searching PubMed, Scopus, Web of Science, and IEEE Xplore, with 13 articles included for data extraction. The AI algorithms detected bleeding (n = 7), vessel injury (n = 1), perfusion deficiencies (n = 1), thermal damage (n = 1), and EMG abnormalities (n = 1), among other iAEs. Nine of the thirteen articles described at least one validation method for the detection system; five explained using cross-validation and seven divided the dataset into training and validation cohorts. Meta-analysis showed the algorithms were both sensitive and specific across included iAEs (detection OR 14.74, CI 4.7-46.2). There was heterogeneity in reported outcome statistics and article bias risk. There is a need for standardization of iAE definitions, detection, and reporting to enhance surgical care for all patients. The heterogeneous applications of AI in the literature highlights the pluripotent nature of this technology. Applications of these algorithms across a breadth of urologic procedures should be investigated to assess the generalizability of these data.

Urinary complications after penile inversion vaginoplasty in transgender women Systematic review and meta-analysis.

INTRODUCTION: Penile inversion vaginoplasty (PIV) remains the gold standard technique for vaginoplasty, a gender-affirming feminizing surgery, but has been associated with urinary complications; however, there is little literature synthesizing urinary complications after PIV surgery, and there is a need to compile these complications to counsel patients pre- and postoperatively on managing surgical expectations. In this systematic review, we summarize the prevalence of urinary complications following PIV. METHODS: We searched the MEDLINE, EMBASE, CINAHL, and Scopus databases in July 2020. The primary outcome was the prevalence of urinary and surgical complications in patients after penile inversion vaginoplasty. Pooled prevalence was determined from extrapolated data. ROBINS-I tool was used to assess study quality. The study was prospectively registered on PROSPERO (CRD 42020204139). RESULTS: Of 843 unique records, 27 articles were pooled for synthesis, with 3388 patients in total. Overall patient satisfaction ranged from 80-100%. The most common urological complications included poor/splayed stream (11.7%, 95% confidence interval [CI] 5.7-19.3), meatal stenosis (6.9%, 95% CI 2.7-12.7), and irritative symptoms (frequency, urgency, nocturia) (11.5%, 95% CI 2.6-25.1). Other urinary complications included retention requiring catheterization (5.1%, 95% CI 0.3-13.8), incontinence (8.7%, 95% CI 3.4-15.6), urethral stricture (4.6%, 95% CI 1.2-9.8), and urinary tract infection (5.6%, 95% CI 2.7-9.4). Most pooled studies had moderate risk of bias. CONCLUSIONS: The available evidence suggests that there is a low prevalence of urinary complications following PIV. Overall, there is a need for standardization of data in transgender surgical care to better understand surgical outcomes and improve postoperative management.

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill.

This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning model that achieves comparable performance to expert human raters on this skill assessment task. Seventy-two surgical trainees and faculty were recruited for the knot-tying task, and were recorded using video, kinematic, and image data. Three expert human raters conducted the skills assessment using the Objective Structured Assessment of Technical Skill (OSATS) Global Rating Scale (GRS). We also designed and developed three deep learning models: a ResNet-based image model, a ResNet-LSTM kinematic model, and a multi-modal model leveraging the image and time-series kinematic data. All three models demonstrate performance comparable to the expert human raters on most GRS domains. The multi-modal model demonstrates the best overall performance, as measured using the mean squared error (MSE) and intraclass correlation coefficient (ICC). This work is significant since it demonstrates that multi-modal deep learning has the potential to replicate human raters on a challenging human-performed knot-tying task. The study demonstrates an algorithm with state-of-the-art performance in surgical skill assessment. As objective assessment of technical skill continues to be a growing, but resource-heavy, element of surgical education, this study is an important step towards automated surgical skill assessment, ultimately leading to reduced burden on training faculty and institutes.

If You Know Them, You Avoid Them: The Imperative Need to Improve the Narrative Regarding Perioperative Adverse Events.

There are few things in life as exciting as growing up in the countryside [...].

Strategies for Improving the Standardization of Perioperative Adverse Events in Surgery and Anesthesiology: "The Long Road from Assessment to Collection, Grading and Reporting".

The assessment, collection, and reporting of all aspects of surgical procedures are crucial for optimizing patient safety and improving surgical/procedural quality [...].

Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework.

The Standardized Reporting of Machine Learning Applications in Urology (STREAM-URO) framework was developed to provide a set of recommendations to help standardize how machine learning studies in urology are reported. This framework serves three purposes: (1) to promote high-quality studies and streamline the peer review process; (2) to enhance reproducibility, comparability, and interpretability of results; and (3) to improve engagement and literacy of machine learning within the urological community.

Can video games enhance surgical skills acquisition for medical students? A systematic review.

OBJECTIVE: To systematically assess literature examining the impact of being a gamer or participating in video-game-based training on surgical skills acquisition amongst medical students. BACKGROUND: Video games and surgical procedures share similar skills such as visuospatial abilities and hand-eye coordination; therefore, video games can be a valuable tool for surgical training amongst medical students. However, comprehensive, up-to-date systematic reviews are necessary to confirm. METHODS: A systematic literature search of PubMed, MEDLINE, and EMBASE was performed in April 2020 with no limits set on the date of publication. Observational and randomized controlled studies were included. Quality and bias were assessed using the Newcastle-Ottawa Scale for nonrandomized studies and the Grading of Recommendations Assessment, Development and Evaluation system for randomized studies. RESULTS: A total of 575 participants from 16 studies were included. The most common surgical skills tested were laparoscopy (n = 283, from 8 studies) and robotic surgery (n = 199, from 5 studies). A history of gaming and video-game-based training were associated with improved metrics in robotic surgery and laparoscopy, respectively. Neither was beneficial in arthroscopy or bronchoscopy. Studies using the Wii U and Underground reported significant improvement in overall laparoscopic performance. CONCLUSION: Video games demonstrate potential as adjunctive training in surgical skill education, with a history of gaming and video-game-based training being beneficial in robotic surgery and laparoscopy, respectively. Methodological heterogeneity amongst included studies limit the ability to make conclusive decisions; thus, future studies with long-term follow-up, larger sample sizes, outcomes stratified by video-game characteristics, and up-to-date technology are necessary.

Urethrovaginal fistula repair with or without concurrent fascial sling placement: A retrospective review.

INTRODUCTION: We sought to review outcomes of urethrovaginal fistula (UVF) repair, with or without concurrent fascial sling placement. METHODS: All patients diagnosed with UVF at our center from 1988-2017 were included in this study. Patient charts were reviewed from a prospectively kept fistula database, and patient characteristics and surgical outcomes were described. Descriptive statistics were applied to compare complication rates between patients with or without fascial sling placement at the time of UVF repair. RESULTS: A total of 41 cases of UVF were identified, all of which underwent surgical repair. Median age at diagnosis was 49 years (interquartile range [IQR] 35-62). All patients had undergone pelvic surgery. UVF etiology was secondary to stress urinary incontinence (SUI) surgery in 17 patients (41%) and urethral diverticulum repair in seven patients (17%). The most common presenting symptom was continuous incontinence in 19 patients (46%). Nineteen patients had a fascial sling placed at the time of surgery (46%), with no significant difference in complication rates (26% vs. 23%, p=0.79). Two patients had Clavien-Dindo grade I complications (5%) and one had a grade III complication (2%). Four patients had long-term complications (10%), including urinary retention, chronic pain, and urethral stricture. Two patients had UVF recurrence (5%). Median followup after surgery was 21 months (IQR 4-72). CONCLUSIONS: UVF should be suspected in patients with continuous incontinence following a surgical procedure. Most UVF surgical repairs are successful and can be done with concurrent placement of a fascial sling.

Hospital-level Effects Contribute to Variations in Prostate Cancer Quality of Care.

A paucity of real-world data exists highlighting whether variations in prostate cancer quality of care occur at a hospital level, independent of differences in case mix. To overcome this knowledge gap, we benchmarked hospital-level quality (n = 1245 hospitals) across a broad multidisciplinary panel of previously reported disease-specific, expert-defined quality indicators (QIs), adjusting for differences in patient case mix by indirect standardization. A composite measure of prostate cancer quality-the prostate cancer quality score (PC-QS)-was derived, and associations between PC-QS and hospital volume, academic status, and location as well as patient all-cause mortality were determined. After adjusting for the case mix, of the total of 1245 hospitals evaluated, 2-37% were identified as those performing significantly below the national average for a given QI. Hospitals with a higher PC-QS displayed larger patient volumes, were more commonly academic affiliated, and had lower overall mortality. Collectively, our data-driven benchmarking analysis reveals that widespread hospital-level variations exist in prostate cancer quality of care after adjusting for differences in case mix, with the PC-QS serving as a novel, validated, quality benchmarking tool. PATIENT SUMMARY: Our statistical benchmarking method shows that the quality of prostate cancer care varies between hospitals, after accounting for differences in patient characteristics. The prostate cancer quality score is a novel, validated, quality benchmarking tool.

Quantifying the "Assistant Effect" in Robotic-Assisted Radical Prostatectomy (RARP): Measures of Technical Performance.

PURPOSE: Surgeons are reliant on the bedside assistant during robotic surgeries. Using a modified global rating scale (GRS), we aim to assess the association between an assistant's technical skill on surgeon performance in Robotic-Assisted Radical Prostatectomy (RARP). METHODS: Prospective, intraoperative video from RARP cases at three centers were collected. Baseline demographic and RARP-experience data were collected from participating surgeons and trainees. The dissection of the prostatic pedicle and neurovascular bundle step (NVB) was analyzed. Expert analysts scored the console surgeon performance using the Global Evaluative Assessment of Robotic Skills (GEARS), and the bedside assistant performance using a modified Objective Structured Assessment of Technical Skills (aOSATS). The primary outcome is the association between console surgeon performance, as measured by GEARS, and assistant skill, as measured by aOSATS. Spearman's rho correlations were used to test the relationship between assistant and surgeon technical performance, and a multivariable linear regression model was created to test this association while controlling for patient factors. RESULTS: 92 RARP cases were available for the analysis, comprising 14 console surgeons and 22 different bedside assistants. In only 5 (5.4%) cases, the neurovascular bundle step was completed by a trainee, and in 13 (14.1%) of cases, a staff-level surgeon acted as the bedside assistant. aOSATS score was significantly associated with robotic console experience (P = 0.011), and prior laparoscopic experience (P < 0.001). Assistant aOSATS score showed a weak but significant correlation with surgeon GEARS score during the neurovascular bundle step (spearman's rho = 0.248, P = 0.028). On linear regression, aOSATS remained a significant predictor of console surgeon performance (P = 0.016), after controlling for patient age and BMI, prostate volume, tumor stage, and presence of nerve-sparing. CONCLUSIONS: This is the first study to assess the association between assistant technical skill and surgeon performance in RARP. Additionally, we have provided validity evidence for a modified OSATS global rating scale for training and assessing bedside assistant performance.