Achieving trifecta outcomes in robotic-assisted partial nephrectomy within a fellowship training centre.

To assess the robotic-assisted partial nephrectomy (RAPN) trifecta rate within a fellowship program. Patients undergoing RAPN 01/01/2010-01/07/2023 were enrolled from a prospectively maintained database. All cases were performed jointly with surgical fellows, except when privately insured. Patients were excluded if they were converted to open or radical nephrectomy. The primary outcome was achieving the 'trifecta' of negative surgical margins, no complications < 30 days post-operatively and warm ischaemia time (WIT) < 25 min. The secondary outcomes were factors associated with trifecta success. Ethics approval was obtained. In the enrolment period, 355 patients underwent intended RAPN, of whom seven were excluded due to conversion to conversion to radical nephrectomy (6 patients) or conversion to open (one). Amongst the 348 eligible patients, median age was 60 years, 115 (33%) were female and 19 were private patients. WIT was < 25 min for 324/337 patients (96%), surgical margins were negative in 325 (93%), 294 (84%) were complication-free at 30 days and 301/320 (94%) had a < 30% decline in estimated glomerular filtration rate at 3-6 months postoperatively. Subsequently, trifecta outcomes were achieved in 253/337 (75%) patients. Comparing with patients without those with trifecta success were similar in all thirteen measured patients and tumour factors. In a teaching hospital, with a fellowship training programme, trifecta outcome is achievable for most RAPN patients, and at a rate comparable to international standards. Fellowship centres should monitor their outcomes to ensure high patient outcomes are maintained alongside training requirements.

Stakeholder perspectives on scaling robotic surgery in India: qualitative research.

Robotic surgery (RS) is a milestone in minimally invasive surgery. More than 500 surgeons are trained in RS in India, and more than 100 robotic systems have been installed across various centers. RS offers various benefits to patients and surgeons. Although it is rapidly advancing and has several advantages, a robotic system is a complex system that is equipped with complex instruments. Qualitative research aims to take a broad view of the perceptions of stakeholders of RS and to synthesize their views to gain insight into scaling RS. This qualitative study aimed to explore the perspectives of relevant stakeholders on RS to learn how to develop the field and make it more affordable. This study is based on grounded theory methodology and uses the standards for reporting qualitative research (SRQR) guidelines for reporting. Three premier hospitals that are pioneers in RS in India served as the study locations. Purposive sampling was used to collect data from surgeons, nurses, and insurance staff. The surgeons interviewed have national and international exposure and are consulting and performing robotic surgeries across India and internationally. We conducted one-on-one interviews and wrote memos to gather further information before approaching each stakeholder. Samples were determined based on theoretical saturation. Fellowship training, which includes simulation, bedside assistance, and individual cases under supervision, was found to be the standard training method. The stakeholders mentioned a few prerequisites for performing RS, such as prior laparoscopic experience, passion for surgical knowledge and skill, and proper case selection. The surgeons discussed some technical considerations of RS, such as medico-legal issues and mechanical faults associated with it. Although there is increased scope for establishing robotic surgery, surgeons feel that the cost of RS is high. From the interactions with the stakeholders, it is understood that robotic surgeons are the most significant players in RS. Robotic surgery demands more skills and more trained professionals to scale up. Key findings highlight the importance of fellowship training, prior laparoscopic experience, and proper case selection. While RS has potential for growth, high costs, and technical issues remain concerns. Insurance companies include robotic surgery in their policies under the category of "modernized medicine." Depending on the insurance plan that the patient selects, the necessity of the robotic surgery, and the surgeon's justification, the insurance company will pay for the patient's robotic surgery. To make it affordable for patients, complete insurance coverage is mandatory along with creating more awareness among patients. The growth of RS is inevitable in the future with other robotic companies emerging which will ultimately reduce the capital cost and robotic surgeons are pivotal in advancing RS.

Robots down-under: the current climate of robotic-assisted surgery education in Australia.

Australia has seen a significant rise in the use of Robotic-Assisted Surgery (RAS), with general surgery being the fastest-growing field in this technology. The proportion of general surgical RAS has grown from 1% to 17% of all RAS between 2008 and 2023 in Australasia. As of May 2023, there were 162 robotic platforms in Australasia, with 26 of them in the public sector. As the cost of establishing RAS decreases over time, public hospital robotics systems are expected to become more accessible. Despite the increasing demand, many specialties, including general surgery, do not have an agreed RAS curriculum for trainees. It is imperative for Australia to develop its own curriculum akin to our overseas colleagues to match this growth.

Immersive reality for robotic surgical training: a pilot study using 3D visors for immersive view of the operating field.

Immersive intracorporeal vision is a key feature of robotic surgery, limited today to only one trainee per operation when the dual console is available. We developed a tool that provides a virtually unlimited number of surgeons with the operator's view, with the possibility to also watch the surgeon's hand movements and the operating table. In this study, we aim to assess trainees' reaction to this innovative training method. Medical students and surgery residents were offered an immersive experience with head-mounted devices, showing a didactic video in a 360° virtual space with 3D intracorporeal robotic vision, the surgeon's hand movements and the surrounding operating room during a robotic rectal resection with total mesorectal excision. Subsequently, participants were asked to fill a questionnaire evaluating the user's reaction to the new training tool including the validated System Usability Scale (SUS) and Simulator Sickness Questionnaire (SSQ), and non-validated questions. 102 participants took part in the training and the assessment questionnaires, 94 (92%) medical students and 8 (8%) surgery residents. Users' feedback was overall positive. In the engagement and intention to use items, almost 90% of the respondents voted for a complete or near complete agreement. The median SUS score was 80 [IQR 70-90]. The median SSQ score was 44.88 [IQR 22.44-82.28]. Exposing trainees to immersive robotic vision of the surgical field had a positive reaction from our audience. Our initial results encourage further implementing this technology in surgical training of medical students and residents to prove its efficacy.

Bridging the gap: assessing the integration of robotic-assisted surgery into Canadian surgical training programs.

SummaryThe adoption of robotic surgery has surged globally across multiple surgical specialties, but uptake in Canada has unfolded at a slower pace. Surgical educators and trainees in Canada face potential challenges related to sufficient exposure, experience, and competence in robotic surgical procedures. We conducted a cross-sectional national survey to gain insight into the perspectives of program directors overseeing general surgery residency and fellowship programs on the integration of robotic surgery into Canadian surgical training programs. Despite the presence of robotic surgery platforms at most academic and academic-affiliated hospitals, few trainees have exposure to any robotic surgery. Furthermore, a gap exists between the training provided in robotic surgery and its anticipated relevance to trainees upon graduation. Increased focus on the integration of robotic surgery within general surgical training in Canada is required to equip trainees for their careers.

Efficacy of educational stepwise robot-assisted radical prostatectomy procedure for urology residents.

OBJECTIVE: To evaluate the effectiveness of an educational stepwise robot-assisted radical prostatectomy (RARP) procedure for urology residents. METHODS: We performed a detailed evaluation of 42 RARP procedures performed by a single urology resident from July 2019 to February 2022. The RARP procedures were divided into the following nine steps: (1) bladder dissection, (2) endopelvic fascia dissection, (3) bladder neck dissection, (4) seminal vesicle dissection, (5) Denonvilliers' fascia dissection, (6) dorsal vascular complex ligation, (7) dissection of the prostatic apex, (8) posterior anastomosis, and (9) urethro-vesical anastomosis. The procedures were further subcategorized as anatomical understanding, spatial recognition, and technical skills for evaluation of resident training. The surgeries were divided into first and second halves, and patient characteristics and operative outcomes were statistically analyzed. The operative time of each of the nine steps and the reasons for proctor intervention were compared. RESULTS: Among 42 patients, there were no significant differences in operative outcomes between the two groups. The median operative time was 169 min (164 vs. 179 min, p = .12), and the median console time was 128 min (127 vs. 130 min, p = .74). Although there were no significant differences in the time of the nine steps, the resident significantly overcame (7) dissection of the prostatic apex and (8) posterior anastomosis based on the evaluation of the proctored reasons for intervention. CONCLUSIONS: Urology residents can safely perform and efficiently learn RARP with this stepwise educational system. This educational stepwise RARP procedure can effectively help residents to develop their skills.

Implementing a robotic hepatopancreatobiliary program for new faculty: safety, feasibility and lessons learned.

Robotic surgery is increasingly utilized in hepatopancreatobiliary (HPB) surgery, but the learning curve is a substantial obstacle hindering implementation. Comprehensive robotic training can help to surmount this obstacle; however, despite the expansion of robotic training into residency and fellowship programs, limited data are available about how this translates into successful incorporation in faculty practice. All operations performed during the first three years of practice of a surgical oncologist at a tertiary care academic institution were retrospectively reviewed. The surgeon underwent comprehensive robotic training during residency and fellowship. 137 HPB operations were performed during the initial three years of practice. Over 80% were performed robotically each year across a spectrum of HPB procedures with a 6% conversion rate. Median operative time, a metric for operative proficiency and evaluation for a learning curve, was similar throughout the study period for each major operation and below several reported optimized operative time benchmarks. The major complications, defined as a Clavien-Dindo of 3 or more, were similar across the experience and comparable to published series. Comprehensive robotic training in residency and fellowship as well as a dedicated, well-trained operative team allows for early attainment of optimized outcomes in a new HPB robotic practice.

Robotic performance metrics model fellow proficiency in living donor nephrectomy.

We investigated the use of robotic objective performance metrics (OPM) to predict number of cases to proficiency and independence among abdominal transplant fellows performing robot-assisted donor nephrectomy (RDN). 101 RDNs were performed by 5 transplant fellows from September 2020 to October 2023. OPM included fellow percent active control time (%ACT) and handoff counts (HC). Proficiency was defined as ACT ≥ 80% and HC ≤ 2, and independence as ACT ≥ 99% and HC ≤ 1. Case number was significantly associated with increasing fellow %ACT, with proficiency estimated at 14 cases and independence at 32 cases (R2 = 0.56, p < 0.001). Similarly, case number was significantly associated with decreasing HC, with proficiency at 18 cases and independence at 33 cases (R2 = 0.29, p < 0.001). Case number was not associated with total active console time (p = 0.91). Patient demographics, operative characteristics, and outcomes were not associated with OPM, except for donor estimated blood loss (EBL), which positively correlated with HC. Abdominal transplant fellows demonstrated proficiency at 14-18 cases and independence at 32-33 cases. Total active console time remained unchanged, suggesting that increasing fellow autonomy does not impede operative efficiency. These findings may serve as a benchmark for training abdominal transplant surgery fellows independently and safely in RDN.

Prediction of Robotic Anastomosis Competency Evaluation (RACE) metrics during vesico-urethral anastomosis using electroencephalography, eye-tracking, and machine learning.

Residents learn the vesico-urethral anastomosis (VUA), a key step in robot-assisted radical prostatectomy (RARP), early in their training. VUA assessment and training significantly impact patient outcomes and have high educational value. This study aimed to develop objective prediction models for the Robotic Anastomosis Competency Evaluation (RACE) metrics using electroencephalogram (EEG) and eye-tracking data. Data were recorded from 23 participants performing robot-assisted VUA (henceforth 'anastomosis') on plastic models and animal tissue using the da Vinci surgical robot. EEG and eye-tracking features were extracted, and participants' anastomosis subtask performance was assessed by three raters using the RACE tool and operative videos. Random forest regression (RFR) and gradient boosting regression (GBR) models were developed to predict RACE scores using extracted features, while linear mixed models (LMM) identified associations between features and RACE scores. Overall performance scores significantly differed among inexperienced, competent, and experienced skill levels (P value < 0.0001). For plastic anastomoses, R2 values for predicting unseen test scores were: needle positioning (0.79), needle entry (0.74), needle driving and tissue trauma (0.80), suture placement (0.75), and tissue approximation (0.70). For tissue anastomoses, the values were 0.62, 0.76, 0.65, 0.68, and 0.62, respectively. The models could enhance RARP anastomosis training by offering objective performance feedback to trainees.

The importance of non-technical skills in robot-assisted surgery in gynaecology.

Robot-assisted surgery (RAS) in gynaecology has undergone exponential growth in recent decades, with utility in treating both benign and malignant gynaecological conditions. The technological complexities and amended theatre dynamics that RAS demands mean that effective non-technical skills (NTS) are vitally important to overcome these unique challenges. However, NTS have been neglected in RAS-training programmes with focus placed instead on the exclusive acquisition of technical skills (TS). NTS include teamwork, communication, leadership, situational awareness, decision-making and stress management. Communication is the most frequently cited NTS impacted during RAS, as the physical limitations imposed by the robotic hardware make communication exchange difficult. The full immersion that RAS enables can contribute to situational awareness deficits. However, RAS can complement communication and teamwork when multidisciplinary (MDT) surgeries (such as complex endometriosis excisions) are undertaken; dual-console capabilities facilitate the involvement of specialties such as general surgery and urology. The development of NTS in RAS cannot be achieved with in-situ experience alone, and current training is poorly standardised. RAS-training programmes and curricula for gynaecology do exist, however the integration of NTS remain limited. Simulation is a viable tool to facilitate enhanced-NTS integration, yet cost implications form a barrier to its wider implementation. However, given that RAS will continue to occupy a greater proportion of the gynaecological caseload, integration of NTS within gynaecological RAS training curricula is necessary. Patients undergoing gynaecological RAS would benefit from the improved safety standards and enhanced surgical outcomes that would result.

The impact of resident training on robotic operative times: is there a July Effect?

It is unknown whether the July Effect (a theory that medical errors and organizational inefficiencies increase during the influx of new surgical residents) exists in urologic robotic-assisted surgery. The aim of this study was to investigate the impact of urology resident training on robotic operative times at the beginning of the academic year. A retrospective chart review was conducted for urologic robotic surgeries performed at a single institution between 2008 and 2019. Univariate and multivariate mix model analyses were performed to determine the association between operative time and patient age, estimated blood loss, case complexity, robotic surgical system (Si or Xi), and time of the academic year. Differences in surgery time and non-surgery time were assessed with/without resident presence. Operative time intervals were included in the analysis. Resident presence correlated with increased surgery time (38.6 min (p < 0.001)) and decreased non-surgery time (4.6 min (p < 0.001)). Surgery time involving residents decreased by 8.7 min after 4 months into the academic year (July-October), and by an additional 5.1 min after the next 4 months (p = 0.027, < 0.001). When compared across case types stratified by complexity, surgery time for cases with residents significantly varied. Cases without residents did not demonstrate such variability. Resident presence was associated with prolonged surgery time, with the largest effect occurring in the first 4 months and shortening later in the year. However, resident presence was associated with significantly reduced non-surgery time. These results help to understand how new trainees impact operating room times.

Residents underestimate their robotic performance: evaluating resident robotic console participation time.

Lack of formal national robotic curriculum results in a void of knowledge regarding appropriate progression of autonomy in robotic general surgery training. One midwestern academic surgical training program has demonstrated that residents expect to independently operate more on the robotic console than they perceive themselves to do. As such, our study sought to evaluate expectations of residents and faculty regarding resident participation versus actual console participation time (CPT) at a community general surgery training program. We surveyed residents and faculty in two phases. Initially, participants were asked to reflect on their perceptions and expectations from the previous six months. The second phase included surveys (collected over six months) after individual cases with subjective estimation of participation versus CPT calculated by the Intuitive Surgical, Inc. MyIntuitive application. Using Mann-Whitney U-Test, we compared resident perceptions of CPT to actual CPT by case complexity and post-graduate year (PGY). Faculty (n = 7) estimated they allowed residents to complete a median of 26-50% of simple and 0-25% of complex cases in the six months prior to the study. They expected senior residents (PGY-4 and PGY-5) to complete more: 51-75% of simple and 26-50% of complex cases. Residents (n = 13), PGY-2-PGY-5, estimated they completed less than faculty perceived (0-25% of simple and 0-25% of complex cases). Sixty-six post-case (after partial colectomy, abdominoperoneal resection, low anterior resection, cholecystectomy, inguinal/ventral hernia repair, and others) surveys were completed. Residents estimated after any case that they had completed 26-50% of the case. However, once examining their MyIntuitive report, they actually completed 51-75% of the case (median). Residents, especially PGY-4 and 5, completed a higher percentage than estimated of robotic cases. Our study confirms that residents can and should complete more of (and increasingly complex) robotic cases throughout training, like the transition of autonomy in open and laparoscopic surgery.

Current trends in the management of Gastro-oEsophageal cancers: Updates to the ESSO core curriculum (ESSO-ETC-UGI-WG initiative).

Gastro-oEsophageal Cancers (GECs) are severe diseases whose management is rapidly evolving. The European Society of Surgical Oncology (ESSO) is committed to the generation and spread of knowledge, and promotes the multidisciplinary management of cancer patients through its core curriculum. The present work discusses the approach to GECs, including the management of oligometastatic oesophagogastric cancers (OMEC), the diagnosis and management of peritoneal metastases from gastric cancer (GC), the management of Siewert Type II tumors, the importance of mesogastric excision, the role of robotic surgery, textbook outcomes, organ preserving options, the use of molecular markers and immune check-point inhibitors in the management of patients with GECs, as well as the improvement of current clinical practice guidelines for the management of patients with GECs. The aim of the present review is to provide a concise overview of the state-of-the-art on the management of patients with GECs and, at the same time, to share the latest advancements in the field and to foster the debate between surgical oncologists treating GECs worldwide. We are sure that our work will, at the same time, give an update to the advanced surgical oncologists and help the training surgical oncologists to settle down the foundations for their future practice.

Training in robotic-assisted surgery: a systematic review of training modalities and objective and subjective assessment methods.

INTRODUCTION: The variety of robotic surgery systems, training modalities, and assessment tools within robotic surgery training is extensive. This systematic review aimed to comprehensively overview different training modalities and assessment methods for teaching and assessing surgical skills in robotic surgery, with a specific focus on comparing objective and subjective assessment methods. METHODS: A systematic review was conducted following the PRISMA guidelines. The electronic databases Pubmed, EMBASE, and Cochrane were searched from inception until February 1, 2022. Included studies consisted of robotic-assisted surgery training (e.g., box training, virtual reality training, cadaver training and animal tissue training) with an assessment method (objective or subjective), such as assessment forms, virtual reality scores, peer-to-peer feedback or time recording. RESULTS: The search identified 1591 studies. After abstract screening and full-texts examination, 209 studies were identified that focused on robotic surgery training and included an assessment tool. The majority of the studies utilized the da Vinci Surgical System, with dry lab training being the most common approach, followed by the da Vinci Surgical Skills Simulator. The most frequently used assessment methods included simulator scoring system (e.g., dVSS score), and assessment forms (e.g., GEARS and OSATS). CONCLUSION: This systematic review provides an overview of training modalities and assessment methods in robotic-assisted surgery. Dry lab training on the da Vinci Surgical System and training on the da Vinci Skills Simulator are the predominant approaches. However, focused training on tissue handling, manipulation, and force interaction is lacking, despite the absence of haptic feedback. Future research should focus on developing universal objective assessment and feedback methods to address these limitations as the field continues to evolve.

The transition of surgical simulation training and its learning curve: a bibliometric analysis from 2000 to 2023.

BACKGROUND: Proficient surgical skills are essential for surgeons, making surgical training an important part of surgical education. The development of technology promotes the diversification of surgical training types. This study analyzes the changes in surgical training patterns from the perspective of bibliometrics, and applies the learning curves as a measure to demonstrate their teaching ability. METHOD: Related papers were searched in the Web of Science database using the following formula: TS=[(training OR simulation) AND (learning curve) AND (surgical)]. Two researchers browsed the papers to ensure that the topics of articles were focused on the impact of surgical simulation training on the learning curve. CiteSpace, VOSviewer, and R packages were applied to analyze the publication trends, countries, authors, keywords, and references of selected articles. RESULT: Ultimately, 2461 documents were screened and analyzed. The USA is the most productive and influential country in this field. Surgical endoscopy and other interventional techniques publish the most articles, while surgical endoscopy and other interventional techniques is the most cited journal. Aggarwal Rajesh is the most productive and influential author. Keyword and reference analyses reveal that laparoscopic surgery, robotic surgery, virtue reality, and artificial intelligence were the hotspots in the field. CONCLUSION: This study provided a global overview of the current state and future trend in the surgical education field. The study surmised the applicability of different surgical simulation types by comparing and analyzing the learning curves, which is helpful for the development of this field.

Learning Curve for Robotic-Assisted Cholecystectomy.

This cohort study evaluates the learning curve for robotic-assisted cholecystectomy among US surgeons from 2010 through 2019.

A review of minimal access surgery provision and training within the United Kingdom.

When combined with healthcare pressures, the exponential growth of robotic-assisted surgery (RAS) has impacted UK-based training outcomes, including the learning curve to competency. Aim: To ascertain the current provision of RAS and investigate differences in access to minimal access surgical (MAS) facilities and training across the UK. A two-armed electronic survey was conducted. The first arm questioned clinical leads regarding robotic practice and future training provisions. The second investigated trainee and trainers' perceptions of MAS training and facilities. 64% (52/81) of responding trusts utilise a robotic system. The majority (68% [55/81]) have plans to expand or acquire a system within 3 years. 171 responses from 112 UK and Republic of Ireland hospitals were collected for Arm 2. Laparoscopic categories queried whether trainees had access to a formal curriculum, training days and sim-boxes. Most consultants (51.9%) and trainees (51.6%) reported that there was no formal local training curriculum for robotic surgery. Combined responses demonstrated 42.1% (n = 195/463) said "yes", 39.5% (n = 183) "no" and 18.4% (n = 85) "don't know". For combined robotic categories (simulation, training days and operative lists) 28.3% (n = 134/473) responded "yes", 51.6% (n = 244) said "no" and 20.1% (n = 95) said "don't know". This study provides insight into the current provision of robotic-assisted surgery at UK trusts and highlights the need to facilitate regular clinical training and equitable access to MAS simulation within a formal curriculum. This may aid regulation of training in parallel with the expansion of robotic practice and avoid a significant skill acquisition gap and risks to patient safety.

European Robotic Surgery Consensus (ERSC): Protocol for the development of a consensus in robotic training for gastrointestinal surgery trainees.

BACKGROUND: The rapid adoption of robotic surgical systems across Europe has led to a critical gap in training and credentialing for gastrointestinal (GI) surgeons. Currently, there is no existing standardised curriculum to guide robotic training, assessment and certification for GI trainees. This manuscript describes the protocol to achieve a pan-European consensus on the essential components of a comprehensive training programme for GI robotic surgery through a five-stage process. METHODS AND ANALYSIS: In Stage 1, a Steering Committee, consisting of international experts, trainees and educationalists, has been established to lead and coordinate the consensus development process. In Stage 2, a systematic review of existing multi-specialty robotic training curricula will be performed to inform the formulation of key position statements. In Stage 3, a comprehensive survey will be disseminated across Europe to capture the current state of robotic training and identify potential challenges and opportunities for improvement. In Stage 4, an international panel of GI surgeons, trainees, and robotic theatre staff will participate in a three-round Delphi process, seeking ≥ 70% agreement on crucial aspects of the training curriculum. Industry and patient representatives will be involved as external advisors throughout this process. In Stage 5, the robotic training curriculum for GI trainees will be finalised in a dedicated consensus meeting, culminating in the production of an Explanation and Elaboration (E&E) document. REGISTRATION DETAILS: The study protocol has been registered on the Open Science Framework (https://osf.io/br87d/).