Project description:IntroductionThe learning curve associated with robotic pancreatoduodenectomy (RPD) is a hurdle for new programs to achieve optimal results. Since early analysis, robotic training has recently expanded, and the RPD approach has been refined. The purpose of this study is to examine RPD outcomes for surgeons who implemented a new program after receiving formal RPD training to determine if such training reduces the learning curve.MethodsOutcomes for consecutive patients undergoing RPD at a single tertiary institution were compared to optimal RPD benchmarks from a previously reported learning curve analysis. Two surgical oncologists with formal RPD training performed all operations with one surgeon as bedside assistant and the other at the console.ResultsForty consecutive RPD operations were evaluated. Mean operative time was 354 ± 54 min, and blood loss was 300 ml. Length of stay was 7 days. Three patients (7.5%) underwent conversion to open. Pancreatic fistula affected five patients (12.5%). Operative time was stable over the study and lower than the reported benchmark. These RPD operative outcomes were similar to reported surgeon outcomes after the learning curve.ConclusionThis study suggests formal robotic training facilitates safe and efficient adoption of RPD for new programs, reducing or eliminating the learning curve.
Project description:This study analyzed learning curve and the surgical outcome of robotic assisted colorectal surgery with ERAS program. The study results serve as a reference for future robotic colorectal surgeon who applied ERAS in clinical practice. This was a retrospective case-control study to analyze the learning curve of 141 robotic assisted colorectal surgery (RAS) by Da Vinci Xi (Xi) system and compare the surgical outcomes with 147 conventional laparoscopic (LSC) surgery in the same team. Evaluation for maturation was performed by operation time and the CUSUM plot. Patients were recruited from 1st February 2019 to 9th January 2022; follow-up was conducted at 30 days, and the final follow-up was conducted on 9th February 2022. It both took 31 cases for colon and rectal robotic surgeries to reach the maturation phase. Teamwork maturation was achieved after 60 cases. In the maturation stage, RAS required a longer operation time (mean: colon: 249.5 ± 46.5 vs. 190.3 ± 57.3 p < 0.001; rectum 314.9 ± 59.6 vs. 223.6 ± 63.5 p < 0.001). After propensity score matching, robotic surgery with ERAS program resulted in significant shorter length of hospital stay (mean: colon: 5.5 ± 4.5 vs. 10.0 ± 11.9, p < 0.001; rectum: 5.4 ± 3.5 vs. 10.1 ± 7.0, p < 0.001), lower minor complication rate (colon: 6.0% vs 20.0%, p = 0.074 ; rectum: 11.1% vs 33.3%, p = 0.102), and no significant different major complication rate (colon: 2.0% vs 6.0%, p = 0.617; rectum: 7.4% cs 7.4%, p = 1.0) to conventional LSC. Learning curve for robotic assisted colorectal surgery takes 31 cases. Robotic surgery with ERAS program brings significant faster recovery and fewer complication rate compared to laparoscopy in colorectal surgery.
Project description:Robot-assisted surgery has been progressively involved in various fields of adult and pediatric surgery, demonstrating many advantages over either mini-invasive or open surgery. The aim of this review is to provide the most recent evidence on robot-assisted pediatric surgery, in all its subspecialties. A comprehensive electronic literature search of PubMed, Embase, and Cochrane Library was conducted using appropriate Medical Subject Headings (MeSH) terms and keywords. The interval time considered was a 5-year period [2017-2022], and no language restrictions were applied. A total of 685 titles were identified. After applying exclusion criteria, 73 articles for robotic pediatric surgery have been published and were included in this review. We extrapolated and summarized the current evidence on robot-assisted surgery in pediatric age through all the fields of applicability. Robot-assisted surgery is technically feasible in case of a selected pediatric cohort, and it is going to achieve similar or better surgical results if related to the standard open or mini-invasive procedures. Copious case series and randomized trials are still required. Due to the great potential that this new technology is demonstrating, in the close future, the evolution of robotic platform will offer a valid and solid alternative in the treatment of various pediatric pathologies.
Project description:Robotic surgical oncology in children calls for experienced surgeons in minimally invasive surgery (MIS) and a solid oncological background. The aim of this review was to analyze the current state of robotic-assisted laparoscopy in pediatric tumor resection, assess the necessary framework of minimally invasive surgical oncology and describe future developments of the robotic technology. A literature search of the MEDLINE/PubMed database was conducted, using the terms "robotic surgery", "pediatric" or "children" and "oncology" or "tumor". All relevant English-language studies published between 2008 and 2022 were reviewed. Although concerns have been raised regarding the use of MIS in surgical oncology, current literature reports similar oncological outcome if surgeons comply with the oncologic principles. The benefits of MIS have been established for robotic surgery in adult studies, including a shorter time to adjuvant chemotherapy. Surgical feasibility should be assessed based on tumor characteristics, preoperative imaging focusing on vascular involvement and surgeon's experience until clear guidelines are issued. The difficulties in establishing eligibility criteria for robotic resection of pediatric tumors lie in the great variability of indications, heterogeneity in tumor histology with their own surgical specificities, and wide range of age and weight, as shown by the literature review we performed. Between 2008 and 2022, 31 studies reported 171 cases with three studies including at least ten patients. The most reported procedure was adrenalectomy (41 cases). Current research in pediatric surgical oncology focuses on intraoperative locoregional treatment, improved vision with fluorescence and dyed-loaded specific probes and the many possibilities of enhancement software using the robotic console. The robotic technology allows the surgeon to push the boundaries of conventional laparoscopy. Specific surgical guidelines are necessary.
Project description:The number of thoracic surgery cases performed on the robotic platform has increased steadily over the last two decades. An increasing number of surgeons are training on the robotic system, which like any new technique or technology, has a progressive learning curve. Central to establishing a successful robotic program is the development of a dedicated thoracic robotic team that involves anesthesiologists, nurses, and bed-side assistants. With an additional surgeon console, the robot is an excellent platform for teaching. Compared to current methods of video-assisted thoracoscopic surgery (VATS), the robot offers improved wristed motion, a magnified, high definition three-dimensional vision, and greater surgeon control of the operation. These advantages are paired with integrated adjunctive technology such as infrared imaging. For pulmonary resection, these advantages of the robotic platform have translated into several clinical benefits, such as fewer overall complications, reduced pain, shorter length of stay, better postoperative pulmonary function, lower operative blood loss, and a lower 30-day mortality rate compared to open thoracotomy. With increased experience, cases of greater complexity are being performed. This review article details the process of becoming an experienced robotic thoracic surgeon and discusses a series of challenging cases in robotic thoracic surgery that a surgeon may encounter "beyond the learning curve". Nearly all thoracic surgery can now be approached robotically, including sleeve lobectomy, pneumonectomy, resection of large pulmonary and mediastinal masses, decortication, thoracic duct ligation, rib resection, and pulmonary resection after prior chest surgery and/or chemoradiation.
Project description:BackgroundEarly studies have illustrated the robotic lobectomy to be safe, oncologically effective, and economically feasible as a therapeutic modality in the treatment of thoracic malignancies. The 'challenging' learning curve seemingly associated with the robotic approach, however, continues to be an often-cited factor to its ongoing uptake, with the overwhelming volume of these surgeries being performed in centers of excellence where extensive experience with minimal access surgery is the norm. An exact quantification of this learning curve challenge, however, has not been made, begging the question of whether this is an outdated assumption, versus fact. This systematic review and meta-analysis sort to clarify the learning curve for robotic-assisted lobectomy based on the existing literature.MethodsAn electronic search of four databases was performed to identify relevant studies outlining the learning curve of robotic lobectomy. The primary endpoint was a clear definition of operator learning (e.g., cumulative sum chart, linear regression, outcome-specific analysis, etc.) which could be subsequently aggregated or reported. Secondary endpoints of interest included post-operative outcomes and complication rates. A meta-analysis using a random effects model of proportions or means was applied, as appropriate.ResultsThe search strategy identified twenty-two studies relevant for inclusion. A total of 3,246 patients (30% male) receiving robotic-assisted thoracic surgery (RATS) were identified. The mean age of the cohort was 65.3±5.0 years. Mean operative, console and dock time was 190.5±53.8, 125.8±33.9 and 10.2±4.0 minutes, respectively. Length of hospital stay was 6.1±4.6 days. Technical proficiency with the robotic-assisted lobectomy was achieved at a mean of 25.3±12.6 cases.ConclusionsThe robotic-assisted lobectomy has been illustrated to have a reasonable learning curve profile based on the existing literature. Current evidence on the oncologic efficacy and purported benefits of the robotic approach will be bolstered by the results of upcoming randomized trials, which will be critical in supporting RATS uptake.
Project description:Totally endoscopic robotic mitral valve repair represents the least invasive surgical therapy for mitral valve disease. Comparative results for robotic mitral valve surgery against sternotomy are impressive, repeatedly demonstrating shorter hospital stay, faster return to normal activities, less morbidity and equivalent mortality and mid-term durability. We lack data comparing robotic approaches to totally endoscopic minimally invasive mitral valve surgery using 3D vision platforms. In this review, we explore the advantages and disadvantages of robotic mitral valve surgery and share technical tips that we have learned to help teams embarking on their robotic journey. We consider factors necessary for the successful implementation of a robotic programme including the importance of training a dedicated team, with the common goal to avoid any compromise in either patient safety or repair quality during the learning curve. As experience grows with robotic techniques and more cardiac surgeons become proficient with this innovative technology, the volume of robotic cardiac procedures around the world will increase helped by the introduction of new robotic systems and patient demand. Well informed patients will increasingly seek out the opportunity of robotic valve reconstruction in reference centres in the hands of a few highly experienced robotic surgeons.
Project description:Video 1A novel training method for endoscopic ultrasound operators, the Educational Program of Kindai system enables visualization of a trainee's learning curve and difficult-to-learn areas. This visualization helps both the trainer and the trainee to structure learning and teaching methods in real time.
Project description:ObjectiveTo assess the learning curve of pancreaticojejunostomy during robotic pancreatoduodenectomy (RPD) and to predict the risk of postoperative pancreatic fistula (POPF) by using the objective structured assessment of technical skills (OSATS), taking the fistula risk into account.BackgroundRPD is a challenging procedure that requires extensive training and confirmation of adequate surgical performance. Video grading, modified for RPD, of the pancreatic anastomosis could assess the learning curve of RPD and predict the risk of POPF.MethodsPost hoc assessment of patients prospectively included in 4 Dutch centers in a nationwide LAELAPS-3 training program for RPD. Video grading of the pancreaticojejunostomy was performed by 2 graders using OSATS (attainable score: 12-60). The main outcomes were the combined OSATS of the 2 graders and POPF (grade B/C). Cumulative sum analyzed a turning point in the learning curve for surgical skill. Logistic regression determined the cutoff for OSATS. Patients were categorized for POPF risk (ie, low, intermediate, and high) based on the updated alternative fistula risk scores.ResultsVideos from 153 pancreatic anastomoses were included. Median OSATS score was 48 (interquartile range: 41-52) points and with a turning point at 33 procedures. POPF occurred in 39 patients (25.5%). An OSATS score below 49, present in 77 patients (50.3%), was associated with an increased risk of POPF (odds ratio: 4.01, P =0.004). The POPF rate was 43.6% with OSATS < 49 versus 15.8% with OSATS ≥49. The updated alternative fistula risk scores category "soft pancreatic texture" was the second strongest prognostic factor of POPF (odds ratio: 3.37, P =0.040). Median cumulative surgical experience was 17 years (interquartile range: 8-21).ConclusionsVideo grading of the pancreatic anastomosis in RPD using OSATS identified a learning curve and a reduced risk of POPF in case of better surgical performance. Video grading may provide a valid method to surgical training, quality control, and improvement.
Project description:ObjectiveThe purpose of the study was to evaluate the effect of an interactive training program on the learning curve of radiology residents for bladder MRI interpretation using the VI-RADS score.MethodsThree radiology residents with minimal experience in bladder MRI served as readers. They blindly evaluated 200 studies divided into 4 subsets of 50 cases over a 3-month period. After 2 months, the first subset was reassessed, resulting in a total of 250 evaluations. An interactive training program was provided and included educational lessons and case-based practice. The learning curve was constructed by plotting mean agreement as the ratio of correct evaluations per batch. Inter-reader agreement and diagnostic performance analysis were performed with kappa statistics and ROC analysis.ResultsAs for the VI-RADS scoring agreement, the kappa differences between pre-training and post-training evaluation of the same group of cases were 0.555 to 0.852 for reader 1, 0.522 to 0.695 for reader 2, and 0.481 to 0.794 for reader 3. Using VI-RADS ≥ 3 as cut-off for muscle invasion, sensitivity ranged from 84 to 89% and specificity from 91 to 94%, while the AUCs from 0.89 (95% CI:0.84, 0.94) to 0.90 (95% CI:0.86, 0.95). Mean evaluation time decreased from 5.21 ± 1.12 to 3.52 ± 0.69 min in subsets 1 and 5. Mean grade of confidence improved from 3.31 ± 0.93 to 4.21 ± 0.69, in subsets 1 and 5.ConclusionAn interactive dedicated education program on bladder MRI and the VI-RADS score led to a significant increase in readers' diagnostic performance over time, with a general improvement observed after 100-150 cases.Key points• After the first educational lesson and 100 cases were interpreted, the concordance on VI-RADS scoring between the residents and the experienced radiologist was significantly higher. • An increase in the grade of confidence was experienced after 100 cases. • We found a decrease in the evaluation time after 150 cases.