The Learning Curve of Robotic Hysterectomy

Robot-assisted myomectomy versus open surgery: Cost-effectiveness analysis

INTRODUCTION

Fibroids are the most common benign uterine tumors. There are different possibilities for surgical approaches, and evaluating the cost of these operations is fundamental in modern surgery. The aim of our study is to evaluate the cost-effectiveness of robotic-assisted myomectomy (RAM) compared to open myomectomy (OM) in France.

MATERIALS AND METHODS

This is an original, retrospective cost analysis and cost-effectiveness comparison between RAM and OM. Women aged >18 years who had undergone myomectomy for large (>8 cm) or multiple (3-5) fibroids via RAM or OM were included from three French hospitals. Confounding factors were controlled using inverse probability of treatment weighting. Costs and major operative complications were assessed one month post-surgery for both groups. The cost per major operative complication (defined as intraoperative and/or postoperative transfusions and/or intraoperative blood loss ≥500 mL) averted was calculated. The incremental cost-effectiveness ratio was determined by dividing the difference in costs by the difference in complications. Uncertainty was explored through probabilistic and deterministic sensitivity analyses. Other complications were also compared between the two groups.

RESULTS

33 womens were operate by RAM and 66 by OM. A statistically non-significant reduction in intraoperative and/or postoperative transfusions and/or intraoperative blood loss ≥ 500 mL will be in favor of RAM 36.19 % RAM vs. 38.48 % OM; p = 0.85), with a difference of 2.29 % [95 % CI:27.06 % to 16.58 %]. RAM was more expensive than OM, with an additional cost of €3,555 (P < 0.01). The incremental cost-effectiveness ratio at one month was €155,241 per patient without complications. The intervention was 120 min shorter for OM (157) than RAM (277) (p < 0,01). Readmissions were lower on RAM (0 %) vs. OM (1,21 %) (p < 0,01) and the mean on length of stay was lower on RAM (2,90 days) vs. OM (4,34 days) (p < 0,01).

CONCLUSIONS

RAM reduced the length of hospitalization without increasing the risk of intraoperative complications compared to OM, making it a viable alternative. However, the economic evaluation within our hospitals did not favor RAM. Prospective studies with optimized RAM procedures are needed to confirm these results.

Transvaginal Natural Orifice Transluminal Endoscopic Surgery (vNOTES) in Urogynecological Surgery: A Systematic Review

Background: Minimally invasive surgery could improve cosmetic outcomes and reduce the risks of surgical injury with less postoperative pain and a quicker patient's discharge. Recently, transvaginal natural orifice transluminal endoscopic surgery (vNOTES) has been introduced in urogynecology with exciting results. Evidence Acquisition: After PROSPERO registration (n°CRD42023406815), we performed a comprehensive literature search on Pubmed, Embase, and Cochrane CENTRAL, including peer-reviewed studies evaluating transvaginal natural orifice transluminal endoscopic surgery. No limits on time or type of study were applied. Evidence synthesis: Overall, 12 manuscripts were included in the analysis. Seven studies evaluated uterosacral ligament suspension, four studies evaluated sacral colpopexy, three evaluated sacrospinous ligament suspension, and one study evaluated lateral suspension. Overall success rates were high (>90%); however, definitions of success were heterogeneous. In terms of complication, most of the studies reported low-grade complications (Clavien-Dindo I and II); only two patients needed mesh removal because of mesh exposure. The risk of bias of the trials was rated in the medium to high-risk category. Conclusions: The present review highlights important initial results for vNOTES. Future randomized clinical trials are needed to better define its role in the management of urogynecological procedures.

Surgical training of gynecologic oncology fellows: Long-term trends and implications for future education

OBJECTIVES

The surgical training of gynecologic oncology (GO) fellows is critical to providing excellent care to women with gynecologic cancers. We sought to evaluate changes in techniques and surgical volumes over an 18-year period among established GO fellowships across the US.

METHODS

We emailed surveys to 30 GO programs that had trained fellows for at least 18 years. Surveys requested the number of surgical cases performed by a fellow for seventeen surgical procedures over each of five-time intervals. A One-Way Analysis of Variance was conducted for each procedure, averaged across institutions, to examine whether each procedure significantly changed over the 18-year span.

RESULTS

14 GO programs responded and were included in the analysis using SPSS. We observed a significant increase in the use of minimally invasive (MIS) procedures (robotic hysterectomy (p < .001), MIS pelvic (p = .001) and MIS paraaortic lymphadenectomy (p = .008). There was a concurrent significant decrease in corresponding "open" procedures. There was a significant decrease in all paraaortic lymphadenectomies. Complex procedures (such as bowel resection) remained stable. However, there was a wide variation in the number of cases reported with extremely small numbers for some critical procedures.

CONCLUSIONS

The experience of GO fellows has shifted toward increased use of MIS. While these trends in care are appropriate, they do not diminish the need in many patients for complex open procedures. These findings should help spur the development of innovative training to maintain the ability to provide these core, specialty-defining procedures safely.

Human Factors Integration in Robotic Surgery

OBJECTIVE

Using the example of robotic-assisted surgery (RAS), we explore the methodological and practical challenges of technology integration in surgery, provide examples of evidence-based improvements, and discuss the importance of systems engineering and clinical human factors research and practice.

BACKGROUND

New operating room technologies offer potential benefits for patients and staff, yet also present challenges for physical, procedural, team, and organizational integration. Historically, RAS implementation has focused on establishing the technical skills of the surgeon on the console, and has not systematically addressed the new skills required for other team members, the use of the workspace, or the organizational changes.

RESULTS

Human factors studies of robotic surgery have demonstrated not just the effects of these hidden complexities on people, teams, processes, and proximal outcomes, but also have been able to analyze and explain in detail why they happen and offer methods to address them. We review studies on workload, communication, workflow, workspace, and coordination in robotic surgery, and then discuss the potential for improvement that these studies suggest within the wider healthcare system.

CONCLUSION

There is a growing need to understand and develop approaches to safety and quality improvement through human-systems integration at the frontline of care.Precis: The introduction of robotic surgery has exposed under-acknowledged complexities of introducing complex technology into operating rooms. We explore the methodological and practical challenges, provide examples of evidence-based improvements, and discuss the implications for systems engineering and clinical human factors research and practice.

Impact of Patient Body Mass Index on Post-Operative Recovery from Robotic-Assisted Hysterectomy

A longitudinal, descriptive, prospective, and prolective study of individuals with endometrial or cervical cancer/pre-cancer diagnoses and high BMI (over 35 kg/m2) undergoing RH was conducted. Of the 53 participants recruited, 3 (6%) were converted to open surgery. The 50 RH participants had median BMI 42 kg/m2 (range 35 to 60): the range 35-39.9 kg/m2 had 17 cases; the range 40-44.9 kg/m2 had 15 cases; 45-49.9 kg/m2 8 cases; and those ≥50 kg/m2 comprised 10 cases. The mean RH operating time was 128.1 min (SD 25.3) and the median length of hospital stay was 2 days (range 1-14 days). Increased BMI was associated with small, but statistically significant, increases in operating time and anaesthetic time, 65 additional seconds and 37 seconds, respectively, for each unit increase in BMI. The median self-reported time for individuals who underwent RH to return to their pre-operative activity levels was 4 weeks (range 2 to >12 weeks). There was a significant improvement in pain and physical independence scores over time (p = 0.001 and p < 0.001, respectively) and no significant difference in scores for overall QOL, pain, or physical independence scores was found between the BMI groups. Patient-reported recovery and quality of life following RH is high in individuals with high BMI (over 35 kg/m2) and does not appear to be impacted by the severity of obesity.

Surgeon experience, robotic perioperative outcomes, and complications in gynecology

OBJECTIVE

Robotic surgery is currently on the rise and has been widely applied all over the world. Gynecology offers great opportunities for the development of innovative techniques due to the magnitude of surgical needs. The aim of this study was to correlate perioperative complications, surgical time, and length of hospital stay with surgical diagnosis, procedure performed, and surgeon experience in robot-assisted gynecological surgeries in a 10-year period.

METHODS

This was a retrospective, transversal, cross-sectional study involving 632 patients who underwent robotic gynecological surgery from January 2008 to December 2017 in a community hospital in Sao Paulo, Brazil. Medical records of robot-assisted gynecological operations were searched for perioperative complications, operative time, and length of hospital stay, correlating these outcomes with surgical diagnosis, procedure performed, and surgeon experience, considering those with 20 or less robotic procedures and surgeons with more than 20 cases in their career as in-training or qualified surgeons, respectively.

RESULTS

Endometriosis (381 cases) was the most common surgical indication, followed by uterine myoma (171 patients). Qualified surgeons had 64% less complications than in-training surgeons (p=0.03) and achieved 20% lower surgical time and 15% shorter length of hospital stay.

CONCLUSION

In this study, qualified surgeons with more than 20 robotic procedures had better perioperative outcomes and less complications than in-training surgeons during their first 20 robotic surgeries.

A resident robotic curriculum utilizing self-selection and a web-based feedback tool

To describe an obstetrics and gynecology residency robotic curriculum, facilitated by a web-based feedback and case-tracking tool, allowing for self-selection into advanced training. Phase I (Basic) was required for all residents and included online training modules, online assessment, and robotic bedside assistant dry lab. Phase II (Advanced) was elective console training. Before live surgery, 10 simulation drills completed to proficiency were required. A web-based tool was used for surgical feedback and case-tracking. Online assessments, drill reports, objective GEARS assessments, subjective feedback, and case-logs were reviewed (7/2018-6/2019). A satisfaction survey was reviewed. Twenty four residents completed Phase I training and 10 completed Phase II. To reach simulation proficiency, residents spent a median of 4.1 h performing required simulation drills (median of 10 (3, 26) attempts per drill) before live surgery. 128 post-surgical feedback entries were completed after performance as bedside assistant (75%, n = 96) and console surgeon (5.5%, n = 7). The most common procedure was hysterectomy 111/193 (58%). Resident console surgeons performed portions of 32 cases with a mean console time of 34.6 ± 19.5 min. Mean GEARS score 20.6 ± 3.7 (n = 28). Mean non-technical feedback results: communication (4.2 ± 0.8, n = 61), workload management (3.9 ± 0.9, n = 54), team skills (4.3 ± 0.8, n = 60). Residents completing > 50% of case assessed as "apprentice" 38.5% or "competent" 23% (n = 13). After curriculum change, 100% of surveyed attendings considered residents prepared for live surgical training, vs 17% (n = 6) prior to curriculum change [survey response rate 27/44 (61%)]. Attendings and residents were satisfied with curriculum; 95% and recommended continued use 90% (n = 19).This two-phase robotic curriculum allows residents to self-select into advanced training, alleviating many challenges of graduated robotic training.

Evaluation of the learning curve and safety outcomes in robotic assisted vaginal natural orifice transluminal endoscopic hysterectomy: A case series of 84 patients

BACKGROUND

To explore the learning curve and safety outcomes of robotic assisted transvaginal natural orifice transluminal endoscopic surgery (R-vNOTES) for hysterectomy in benign gynaecological diseases.

METHODS

A retrospective chart review of all patients undergoing R-vNOTES hysterectomy for benign gynaecological disease from 2019 to 2021.

SETTING

An academic tertiary care university hospital in Houston, TX, USA.

RESULTS

84 patients were identified that met the study requirements. The mean hysterectomy time was 77.27 ± 2.89 min. The median additional operation time was 63 (8-206) min. There were two conversions to robotic assisted single incision laparoscopy. Thirteen (15.48%) patients had an associated complication. Analysis of the learning curve suggests plateauing of hysterectomy time at approximately 10 cases and time for robot docking and port placement after 10-20 cases.

CONCLUSION

R-vNOTES is a safe and effective route for hysterectomy. For a surgeon with experience in laparoscopic single site surgery and abdominal robotic surgery, they need to perform 10 cases of R-vNOTES hysterectomy and 10-20 cases in port placement and robotic docking to achieve proficiency.

Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy

We aim to analyze the surgical outcomes and learning curve of single-site robot-assisted hysterectomy. This was a retrospective cohort study from a single academic medical center. A total of 123 patients who underwent single-site robotic surgery for gynecologic disease were enrolled. Gynecologic surgeries were performed by a single surgeon using single-site robot-assisted hysterectomy. The median age of enrolled patients was 49 years (range: 30–74 years). The median operation time was 131 min (range: 59–502 min) and the median docking time was 3 min (range: 1–10 min). In addition, the median console time was 76 min (range: 29–465 min). The cumulative sum (CUSUM) graph for total operation time indicated an initial decrease at case 41, generating 3 distinct performance phases: learning (n = 41 initial cases), competence (n = 54 middle cases), and mastery (n = 28 final cases). There was one case conversion to open surgery due to the difficulty in securing the field of view because of a 16-cm bulky mass protruding from the left pelvic wall. No patients required a transfusion and two complications including vaginal cuff dehiscence were identified. The single-site robot-assisted hysterectomy is a safe and feasible procedure. The learning curve consisted of 41 cases to significantly decrease the total operation time.

A review of simulation training and new 3D computer-generated synthetic organs for robotic surgery education

We conducted a comprehensive review of surgical simulation models used in robotic surgery education. We present an assessment of the validity and cost-effectiveness of virtual and augmented reality simulation, animal, cadaver and synthetic organ models. Face, content, construct, concurrent and predictive validity criteria were applied to each simulation model. There are six major commercial simulation machines available for robot-assisted surgery. The validity of virtual reality (VR) simulation curricula for psychomotor assessment and skill acquisition for the early phase of robotic surgery training has been demonstrated. The widespread adoption of VR simulation has been limited by the high cost of these machines. Live animal and cadavers have been the accepted standard for robotic surgical simulation since it began in the early 2000s. Our review found that there is a lack of evidence in the literature to support the use of animal and cadaver for robotic surgery training. The effectiveness of these models as a training tool is limited by logistical, ethical, financial and infection control issues. The latest evolution in synthetic organ model training for robotic surgery has been driven by new 3D-printing technology. Validated and cost-effective high-fidelity procedural models exist for robotic surgery training in urology. The development of synthetic models for the other specialties is not as mature. Expansion into multiple surgical disciplines and the widespread adoption of synthetic organ models for robotic simulation training will require the ability to engineer scalability for mass production. This would enable a transition in robotic surgical education where digital and synthetic organ models could be used in place of live animals and cadaver training to achieve robotic surgery competency.

Robotic Hysterectomy for Benign Indications: What Have We Learned from a Decade?

Background and Objectives

Robotic surgery data need a setback on many years of practice with high-volume surgeons to evaluate its real value. Our main objective was to study the impact of a decade of robotic surgery on minimally-invasive hysterectomies for benign indications. Our secondary objectives were to evaluate our results for high-volume surgeons and complex cases.

Methods

In this retrospective cohort study, we reviewed medical records at Foch Hospital, from 2010 to 2019, to evaluate the outcomes of robotic hysterectomies for benign disease. We compared the trends of benign hysterectomies done by laparoscopy and laparotomy during this period. We analyzed the proficiency group (≥ 75 cases per surgeon) and complex cases including obese patients and large uteri (>250 g).

Results

495 hysterectomies were performed by robotic, 275 by laparotomy, and 130 by laparoscopy. The laparotomy approach decreased from 62% to 29%, whereas the robotic approach increased from 26% to 61%. The operating room (OR) time decreased in the proficiency group (157.3 ± 43.32 versus 178.6 ± 48.05, P = 0.005); whereas the uterine weight was higher (194.6 ± 158.6 versus 161.3 ± 139.4, P = 0.04). Lower EBL and shorter OR time were seen with uteri ≤ 250 g subgroup (64.24 ± 110.2 ml versus 116.63 ± 146.98 ml, P = 0.0004) (169.62 ± 47.50 min versus 192.44 ± 45.82 min, P = 0.0001). The estimated blood loss (EBL) was less in the BMI ≤ 30 subgroup (68.83 ± 119.24 ml versus 124.53 ± 186.14 ml, P = 0.0005).

Conclusion

A shift was observed between the laparotomy and robotic approaches. High-volume surgeons were more efficient and showed a decrease in OR time after 75 cases despite an increase in uterine weight.

A comparison of surgical outcomes among robotic cases performed with an employed surgical assist versus a second surgeon as the assist

To examine whether utilizing an employed surgical first assistant or a physician as an assistant during gynecologic robotic cases affects surgical variables. A high volume gynecologic oncologist's robotic case data spanning fourteen years (2005-2018) was analyzed. We separated the cases based on the type of assistant used: either an employed surgical first assist or another physician. The assisting physicians were either members of the same practice or general gynecologists in the community. The two groups were compared for console time and estimated blood loss. We controlled for patient Body Mass Index (BMI), uterine weight, use of the fourth robotic arm, benign versus malignant pathology, and the surgeon's subjective estimate of the difficulty of the case using a conventional laparoscopic versus robotic approach. Cases with an employed surgical assist had a mean adjusted robotic console time that was 0.32 h (19.2 min) faster than cases with a physician as the assist (95% CI 0.26 h-0.37 h faster, p < 0.001). Cases with an employed surgical assist also had an estimated blood loss (EBL) that was 47.5 cc lower than cases with a physician assisting (95% CI 38.8 cc-56.3 cc lower EBL, p < 0.001). The use of an employed surgical assist was associated with a faster console time and lower blood loss compared to using an available physician even adjusting for confounding factors. This deserves further exploration, particularly in regards to complication rates, operating room efficiency, utilization of health care personnel, and cost.

Motion analysis of the JHU-ISI Gesture and Skill Assessment Working Set II: learning curve analysis

PURPOSE

The Johns Hopkins-Intuitive Gesture and Skill Assessment Working Set (JIGSAWS) dataset is used to develop robotic surgery skill assessment tools, but there has been no detailed analysis of this dataset. The aim of this study is to perform a learning curve analysis of the existing JIGSAWS dataset.

METHODS

Five trials were performed in JIGSAWS by eight participants (four novices, two intermediates and two experts) for three exercises (suturing, knot-tying and needle passing). Global Rating Scores and time, path length and movements were analyzed quantitatively and qualitatively by graphical analysis.

RESULTS

There are no significant differences in Global Rating Scale scores over time. Time in the suturing exercise and path length in needle passing had significant differences. Other kinematic parameters were not significantly different. Qualitative analysis shows a learning curve only for suturing. Cumulative sum analysis suggests completion of the learning curve for suturing by trial 4.

CONCLUSIONS

The existing JIGSAWS dataset does not show a quantitative learning curve for Global Rating Scale scores, or most kinematic parameters which may be due in part to the limited size of the dataset. Qualitative analysis shows a learning curve for suturing. Cumulative sum analysis suggests completion of the suturing learning curve by trial 4. An expanded dataset is needed to facilitate subset analyses.

Robotic Surgical Training at Home: A Low-Fidelity Simulation Method

OBJECTIVE

Laparoscopic box simulators provide surgical residents a cost-effective and accessible learning tool to practice basic laparoscopic skills. Despite effective, high-fidelity simulators used in robotic surgery training, a similar low-fidelity alternative simulation method is not available. The objective of this report and accompanying video is to introduce a low-fidelity method to help those new to robotic-assisted surgery learn fundamental skills even before sitting at the console.

METHOD

Using 2 fine-point metal tweezers with Velco loops for finger slots, I developed a user-friendly way to practice basic needle handling and intracorporeal knot tying activities similar to those encountered on a high-fidelity robotic simulator. These simple tools mimic the controllers at the actual robot console.

EXPERIENCE

This teaching tool is meant to help surgical trainees and those new to robotic surgery develop the initial dexterity and economy of motion for performing basic tasks. I have greatly improved my own surgical confidence and experience anecdotally using these tools before I sat for actual cases. I hope a motivated trainee may discover the same benefit.

CONCLUSIONS

A low-fidelity simulation method may enhance a learner's initial proficiency in robotic-assisted surgery, but future performance studies using this method will be needed.

Ergonomic Robotic Console Configuration in Gynecologic Surgery: An Interventional Study

STUDY OBJECTIVE

The objectives of this study were to (1) pilot a robotic console configuration methodology to optimize ergonomic posture, and (2) determine the effect of this intervention on surgeon posture and musculoskeletal discomfort.

DESIGN

This was an institutional review board-approved prospective cohort study conducted from February 2017 to October 2017.

SETTING

A single tertiary care midwestern academic medical center.

PARTICIPANTS

Six fellowship-trained gynecologic surgeons, proficient in robotic hysterectomy, were recruited: 3 men and 3 women.

INTERVENTIONS

Each surgeon performed 3 robotic hysterectomies using their self-selected robotic console settings (preintervention). Then, a robotic console ergonomic intervention protocol was implemented by trained ergonomists to improve posture and decrease time in poor ergonomic positions. Each surgeon then performed 3 robotic hysterectomies using the ergonomic intervention settings (postintervention). All surgeries used the da Vinci Xi surgical system (Intuitive Surgical, Inc., Sunnyvale, CA) and were the first case of the day. The surgeons wore inertial measurement unit (IMU) sensors on their head, chest, and bilateral upper arms during surgery. The IMU sensors are equipped with accelerometers, gyroscopes, and magnetometers to give objective measurements of body posture. IMU data were then analyzed to determine the percentage of time spent in ergonomically risky postures as categorized using a modified rapid upper limb assessment. Before and after each hysterectomy, the surgeons completed identical questionnaires for an assessment of musculoskeletal pain/discomfort. The outcome measurements were compared pre- versus postintervention on the basis of fitting generalized linear mixed models that handled the individual surgeon as a random effect and "setting" as a fixed effect.

MEASUREMENTS AND MAIN RESULTS

With regard to the IMU posture results, there was a significant decrease in time spent in the moderate- to high-risk neck position and a decrease in average neck angle after the ergonomic intervention. The average percentage of time spent in moderate- to high-risk categories was significantly lower for the neck (mean, 54.3% vs 21.0%; p = .008) and right upper arm (mean, 15.5% vs 0.9%; p = .02) when using the intervention settings compared with the surgeons' settings. Pain score results: There were fewer reported increases in neck (4 [22%] vs 1 [6%]) and right shoulder (4 [22%] vs 2 [11%]) pain or discomfort after completion of robotic hysterectomy postintervention versus preintervention; however, these differences did not attain statistical significance (p = .12 and p = .37, respectively).

CONCLUSION

An ergonomic robotic console intervention demonstrated effectiveness and improved objective surgeon posture at the console when compared with the surgeons' self-selected settings.

Technical Performance as a Predictor of Clinical Outcomes in Laparoscopic Gastric Cancer Surgery

OBJECTIVE

The purpose of this study was to evaluate the relationship between technical performance and patient outcomes in laparoscopic gastric cancer surgery.

BACKGROUND

Laparoscopic gastrectomy for cancer is an advanced procedure with high rate of postoperative morbidity and mortality. Many variables including patient, disease, and perioperative management factors have been shown to impact postoperative outcomes; however, the role of surgical performance is insufficiently investigated.

METHODS

A retrospective review was performed for all patients who had undergone laparoscopic gastrectomy for cancer at 3 teaching institutions between 2009 and 2015. Patients with available, unedited video-recording of their procedure were included in the study. Video files were rated for technical performance, using Objective Structured Assessments of Technical Skills (OSATS) and Generic Error Rating Tool instruments. The main outcome variable was major short-term complications. The effect of technical performance on patient outcomes was assessed using logistic regression analysis with backward selection strategy.

RESULTS

Sixty-one patients with available video recordings were included in the study. The overall complication rate was 29.5%. The mean Charlson comorbidity index, type of procedure, and the global OSATS score were included in the final predictive model. Lower performance score (OSATS ≤29) remained an independent predictor for major short-term outcomes (odds ratio 6.49), while adjusting for comorbidities and type of procedure.

CONCLUSIONS

Intraoperative technical performance predicts major short-term outcomes in laparoscopic gastrectomy for cancer. Ongoing assessment and enhancement of surgical skills using modern, evidence-based strategies might improve short-term patient outcomes. Future work should focus on developing and studying the effectiveness of such interventions in laparoscopic gastric cancer surgery.

Outcomes of Robotic Hysterectomy for Treatment of Benign Conditions: Influence of Patient Complexity

INTRODUCTION

Robotic hysterectomy may offer advantages for complex cases over the conventional laparoscopic approach.

OBJECTIVE

To assess the association of surgical approach (robotic vs conventional) with blood loss, risks of readmission, reoperation, complications, and average operative time.

METHODS

In a retrospective cohort study, we used the electronic medical records of Kaiser Permanente Northern California, 2011 to 2015, to estimate outcomes of robotic and conventional laparoscopic hysterectomy among women with complex or noncomplex benign disease. Mixed-effects regression models accounted for patient characteristics and surgeon volume.

RESULTS

The study included 560 robotic and 6785 conventional laparoscopic cases. Overall, 1836 patients (25%) met criteria for being complex. The average operative time was 152 minutes for robotic hysterectomy and 157 minutes for conventional laparoscopic hysterectomy (p < 0.0001). Complex surgical cases averaged 190 minutes and noncomplex cases averaged 144 minutes. The difference in operative time for high-volume surgeons treating complex patients with robotic hysterectomy vs conventional hysterectomy was 21 minutes faster (p < 0.05). After adjustment, the risk of blood loss at least 51 mL was lower for robotic surgery than for conventional surgery for complex and noncomplex patients. Other than risk of urinary tract complications, we observed no differences in the risks of complications or risk of reoperation between robotic and conventional laparoscopy for complex and noncomplex patients.

CONCLUSION

For women with complex disease, the robotic approach, when used by a higher-volume surgeon, may be associated with shorter operative time and slightly less blood loss, but not with lower risk of complications.

Systematic review of learning curves in robot-assisted surgery

Background

Increased uptake of robotic surgery has led to interest in learning curves for robot‐assisted procedures. Learning curves, however, are often poorly defined. This systematic review was conducted to identify the available evidence investigating surgeon learning curves in robot‐assisted surgery.

Methods

MEDLINE, Embase and the Cochrane Library were searched in February 2018, in accordance with PRISMA guidelines, alongside hand searches of key congresses and existing reviews. Eligible articles were those assessing learning curves associated with robot‐assisted surgery in patients.

Results

Searches identified 2316 records, of which 68 met the eligibility criteria, reporting on 68 unique studies. Of these, 49 assessed learning curves based on patient data across ten surgical specialties. All 49 were observational, largely single‐arm (35 of 49, 71 per cent) and included few surgeons. Learning curves exhibited substantial heterogeneity, varying between procedures, studies and metrics. Standards of reporting were generally poor, with only 17 of 49 (35 per cent) quantifying previous experience. Methods used to assess the learning curve were heterogeneous, often lacking statistical validation and using ambiguous terminology.

Conclusion

Learning curve estimates were subject to considerable uncertainty. Robust evidence was lacking, owing to limitations in study design, frequent reporting gaps and substantial heterogeneity in the methods used to assess learning curves. The opportunity remains for the establishment of optimal quantitative methods for the assessment of learning curves, to inform surgical training programmes and improve patient outcomes.

Learning curve of robot-assisted laparoscopic sacrocolpo(recto)pexy: a cumulative sum analysis

BACKGROUND

Determination of the learning curve of new techniques is essential to improve safety and efficiency. Limited information is available regarding learning curves in robot-assisted laparoscopic pelvic floor surgery.

OBJECTIVE

The purpose of this study was to assess the learning curve in robot-assisted laparoscopic pelvic floor surgery.

STUDY DESIGN

We conducted a prospective cohort study. Consecutive patients who underwent robot-assisted laparoscopic sacrocolpopexy or sacrocolporectopexy were included (n=372). Patients were treated in a teaching hospital with a tertiary referral function for gynecologic/multicompartment prolapse. Procedures were performed by 2 experienced conventional laparoscopic surgeons (surgeons A and B). Baseline demographics were scored per groups of 25 consecutive patients. The primary outcome was the determination of proficiency, which was based on intraoperative complications. Cumulative sum control chart analysis allowed us to detect small shifts in a surgeon's performance. Proficiency was obtained when the first acceptable boundary line of cumulative sum control chart analysis was crossed. Secondary outcomes that were examined were shortening and/or stabilization of surgery time (measured with the use of cumulative sum control chart analysis and the moving average method).

RESULTS

Surgeon A performed 242 surgeries; surgeon B performed 137 surgeries (n=7 surgeries were performed by both surgeons). Intraoperative complications occurred in 1.9% of the procedures. The learning curve never fell below the unacceptable failure limits and stabilized after 23 of 41 cases. Proficiency was obtained after 78 cases for both surgeons. Surgery time decreased after 24-29 cases in robot-assisted sacrocolpopexy (no distinct pattern for robot-assisted sacrocolporectopexy). Limitations were the inclusion of 2 interventions and concomitant procedures, which limited homogeneity. Furthermore, analyses treated all complications in cumulative sum as equal weight, although there are differences in the clinical relevance of complications.

CONCLUSION

After 78 cases, proficiency was obtained. After 24-29 cases, surgery time stabilized for robot-assisted sacrocolpopexy. In this age of rapidly changing surgical techniques, it can be difficult to determine the learning curve of each procedure. Cumulative sum control chart analysis can assist with this determination and prove to be a valuable tool. Training programs could be individualized to improve both surgical performance and patient benefits.

Review of strategies and factors to maximize cost-effectiveness of robotic hysterectomies and myomectomies in benign gynecological disease

Common benign gynecologic procedures include hysterectomies and myomectomies, with hysterectomy being the most common gynecologic procedure in the United States [1]. While historically performed via laparotomy, the field of gynecologic surgery was revolutionized with the advent of laparoscopic techniques, with the most recent advancement being the introduction of robotic-assisted surgery in 2005. Robotic surgery has all the benefits of laparoscopic surgery such as decreased blood loss, quicker return to activities, and shorter length of hospital stay. Additional robotic-specific advantages include but are not limited to improved ergonomics, 3D visualization, and intuitive surgical movements. Despite these advantages, one of the most commonly cited drawbacks of robotic surgery is the associated cost. While the initial cost to purchase the robotic console and its associated maintenance costs are relatively high, robotic surgery can be cost-effective when utilized correctly.This article reviews application strategies and factors that can offset traditional costs and maximize the benefits of robotic surgery.

Comparison of Robotic and Laparoscopic Hysterectomy for the Large Uterus

Background and Objectives:

We compared the outcome of robotic hysterectomy (RH) with laparoscopic hysterectomy (LH) for large uteri (≥16 weeks).

Methods:

This was a retrospective review over 5 years of 165 women (RH, 46; LH, 119). Demographic data, conversion, hemoglobin drop, indication, operating time, postoperative stay, and intra-operative strategies (adhesiolysis, myomectomy) were recorded.

Results:

Mean age was 45.7 ± 6.4 years and 44.5 ± 5.4 years (no diff) and body mass index was 30.2 ± 6.3 kg/m² and 27.8 ± 4.8 kg/m² (P = .009) in the RH and LH groups. There was no difference in percentage of women with previous laparotomy (RH, 15.2% vs LH, 13.4%) and mean number of lower-segment caesarean section (RH, 1.0 vs LH, 0.8). Mean size of uterus was similar (RH, 20.0 weeks vs LH, 17.4 weeks). The mean number of ports was higher in the RH group (RH, 4.2 vs LH, 3.4; P < .001) as was needed for adhesiolysis (RH, 71.7% vs LH, 35.3%; P < .001). Difficult bladder dissection was more in the RH group (56.5% vs 26.1%; P < .001). Vaginal morcellation was similar in both groups (RH, 89.1%; LH, 83.2%). RH took longer operating time (131.0 vs 110.6 minutes; P = .006). RH had less drop in Hb (1.0 vs 1.8 g/dL; P < .001) and remained the same after multiple regression analysis. Postoperative stay was similar in both groups (1.4 days). Requirement of intravenous analgesia was significantly lower in the RH group (12.5 vs 30.9 hours; P < .001). Open conversion rate was 4.3% (RH) and 10.9% (LH) but not significant.

Conclusion:

A higher body mass index, more adhesiolysis, and difficult bladder dissection imply a more challenging nature of women who underwent RH. Despite this, RH was shown to be feasible and safe with a lower blood loss.

Analysis of Robotic Procedural Times Using Colpassist Versus End-to-End Anastomosis Sizer for Robotic-Assisted Sacrocolpopexy: A Randomized Controlled Trial

OBJECTIVE

The impact of vaginal instrumentation on operative time for robotic-assisted sacrocolpopexy (RSC) is not well understood. Colpassist (Boston Scientific, Quincy, Mass) is a vaginal positioning device designed to improve exposure with a curved double-sided handle that can be adapted to patient anatomy with 2 different sized functional ends. We sought to compare operative time for RSC using a Colpassist compared with a traditional end-to-end anastomosis sizer (EEAS).

METHODS

This was a single-center randomized controlled trial of consecutive women undergoing RSC for apical pelvic organ prolapse. Participants were randomized to undergo RSC using either Colpassist or EEAS. The primary outcome was total operative time for the steps of RSC requiring use of a vaginal positioning device. Secondary outcomes included injury rates and satisfaction of the participants.

RESULTS

Fifty-two women were enrolled (25 Colpassist, 27 EEAS). For the primary outcome, there was no significant difference in total operative time between procedures performed with Colpassist versus EEAS (P = 0.15). However, 16 (64%) of the 25 Colpassist arm versus 0 of EEAS (P < 0.01) required use of an alternative vaginal positioning device intraoperatively. Comparing secondary outcomes, there were no differences in rate of intraoperative injury between groups. Surgeon and fellow satisfaction scores were lower with Colpassist (P < 0.01). Surgical vaginal assistants were equally satisfied with both vaginal positioning devices (P > 0.05).

CONCLUSIONS

Colpassist is a potential alternative to EEAS with no significant difference in operative time or complication rate. However, case completion with Colpassist was significantly lower than EEAS and was associated with lower surgeon and fellow satisfaction.

The Essential Elements of a Robotic-Assisted Laparoscopic Hysterectomy

Robotic-assisted laparoscopic hysterectomies are being performed at higher rates since the da Vinci Surgical System (Intuitive Surgical, Inc, Sunnyvale, CA, USA) received US Food and Drug Administration approval in 2005 for gynecologic procedures. Despite the technological advancements over traditional laparoscopy, a discrepancy exists between what the literature states and what the benefits are as seen through the eyes of the end-user. There remains a significant learning curve in the adoption of safe and efficient robotic skills. The authors present important considerations when choosing to perform a robotic hysterectomy and a step-by-step technique. The literature on perioperative outcomes is also reviewed.

How to set up a robotic-assisted laparoscopic surgery center and training of staff

The use of computers to assist surgeons in the operating room has been an inevitable evolution in the modern practice of surgery. Robotic-assisted surgery has been evolving now for over two decades and has finally matured into a technology that has caused a monumental shift in the way gynecologic surgeries are performed. Prior to robotics, the only minimally invasive options for most Gynecologic (GYN) procedures including hysterectomies were either vaginal or laparoscopic approaches. However, even with over 100 years of vaginal surgery experience and more than 20 years of laparoscopic advancements, most gynecologic surgeries in the United States were still performed through an open incision. However, this changed in 2005 when the FDA approved the da Vinci Surgical Robotic System^tm for use in gynecologic surgery. Over the last decade, the trend for gynecologic surgeries has now dramatically shifted to less open and more minimally invasive procedures. Robotic-assisted surgeries now include not only hysterectomy but also most all other commonly performed gynecologic procedures including myomectomies, pelvic support procedures, and reproductive surgeries. This success, however, has not been without controversies, particularly around costs and complications. The evolution of computers to assist surgeons and make minimally invasive procedures more common is clearly a trend that is not going away. It is now incumbent on surgeons, hospitals, and medical societies to determine the most cost-efficient and productive use for this technology. This process is best accomplished by developing a Robotics Program in each hospital that utilizes robotic surgery.

Learning Curve Analysis of Different Stages of Robotic-Assisted Laparoscopic Hysterectomy

Objective. To analyze the learning curves of the different stages of robotic-assisted laparoscopic hysterectomy. Design. Retrospective analysis. Design Classification. Canadian Task Force classification II-2. Setting. Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. Patient Intervention. Women receiving robotic-assisted total and subtotal laparoscopic hysterectomies for benign conditions from May 1, 2013, to August 31, 2015. Measurements and Main Results. The mean age, body mass index (BMI), and uterine weight were 46.44 ± 5.31 years, 23.97 ± 4.75 kg/m², and 435.48 ± 250.62 g, respectively. The most rapid learning curve was obtained for the main surgery console stage; eight experiences were required to achieve duration stability, and the time spent in this stage did not violate the control rules. The docking stage required 14 experiences to achieve duration stability, and the suture stage was the most difficult to master, requiring 26 experiences. BMI did not considerably affect the duration of the three stages. The uterine weight and the presence of adhesion did not substantially affect the main surgery console time. Conclusion. Different stages of robotic-assisted laparoscopic hysterectomy have different learning curves. The main surgery console stage has the most rapid learning curve, whereas the suture stage has the slowest learning curve.

Every woman deserves a high-volume gynecologic surgeon

Most women undergoing hysterectomy in the United States have their surgery performed by a low-volume gynecologic surgeon. Evidence supports that, when compared to patients operated on by high-volume surgeons, these women have worse outcomes including fewer minimally invasive procedures and increased rates of complications. The factors that promote low-volume surgeons and suggestions for how to change this are reviewed in this Viewpoint.

Comparison of cost and operative outcomes of robotic hysterectomy compared to laparoscopic hysterectomy across different uterine weights

Operative cost and outcomes between robotic and laparoscopic hysterectomy across different uterine weights. Retrospective cohort study including patients undergoing robotic and laparoscopic hysterectomy for benign disease at an Academic university hospital. One hundred and ninety six hysterectomies were identified (101 robotic versus 95 laparoscopic). Demographic and surgical characteristics were statistically equivalent. Robotic group had a higher body mass index (±SD) (32.9 ± 6.5 versus 30.4 ± 7.1, p 0.012) and more frequent history of adnexal surgery (12.9 versus 4.2%, p 0.031). Laparoscopic group had a higher number of concurrent salpingectomy (81 versus 66.3%, p 0.02). Estimated blood loss did not differ between procedures. Compared to robotic hysterectomies, laparoscopic procedures added 47 min (CI: 31-63 min; p < 0.001) of operative time, costed $1648 more (CI: 500-2797; p = 0. 005) and had triple the odds of having an overnight admission (OR = 2.94 CI: 1.34-6.44; p = 0.007). After stratification of cases by uterine weight, the mean operative time difference between the two groups in uteri between 750 and 1000 g and in uteri >1000 g was 81.3 min (CI: 51.3-111.3, p < 0.0001) and 70 min (CI: 26-114, p < 0.005), respectively, in favor of the robotic group. Mean direct cost difference in uteri between 750 and 1000 g and uteri >1000 g was 1859$ (CI: 629-3090, p < 0.006) and 4509$ (CI: 377-8641, p < 0.004), respectively, also in favor of the robotic group. In expert hands, robotic hysterectomy for uteri weighing more than 750 g may be associated with shorter operative time and improved cost profile.

Robot-assisted Surgery in Gynecologic Cancers

Robotic-assisted surgery is a technological advancement that facilitates the application of minimally invasive techniques for complex operations in gynecologic oncology. The objective of this article was to review the literature regarding the role of robotic-assisted surgery to treat women with gynecologic cancers. The majority of publications on robotic surgery are still retrospective or descriptive in nature; however, the data for managing patients with a robotic-assisted approach show comparable, and at times improved, outcomes compared with both laparoscopy (2-dimensional) and laparotomy approaches. Robotic-assisted surgery has been used for patients with endometrial cancer and resulted in the increased use of minimally invasive surgery with improved outcomes compared with laparotomy and partially with laparoscopy. This has been shown in large cohorts of patients as well as in obese patients in whom the complication rates have significantly decreased. For early cervical cancer, robotic radical hysterectomy seems to be safe and feasible and to be preferable to laparotomy with seemingly comparable oncologic outcomes. Robotic-assisted surgery and conventional laparoscopy to stage women with early-stage ovarian cancer seem to have similar surgical and oncologic outcomes, with a shorter learning curve for robotic-assisted surgery. However, robotic-assisted surgery appears to be more expensive than laparotomy and traditional laparoscopy. In conclusion, robotic-assisted surgery appears to facilitate the surgical approach for complex operations to treat women with gynecologic cancers. Although randomized controlled trials are lacking to further elucidate the equivalence of robot-assisted surgery with conventional methods in terms of oncologic outcome and patients' quality of life, the technology appears to be safe and effective and could offer a minimally invasive approach to a much larger group of patients.

Determining Optimal Route of Hysterectomy for Benign Indications: Clinical Decision Tree Algorithm

OBJECTIVE

To evaluate practice change after initiation of a robotic surgery program using a clinical algorithm to determine the optimal surgical approach to benign hysterectomy.

METHODS

A retrospective postrobot cohort of benign hysterectomies (2009-2013) was identified and the expected surgical route was determined from an algorithm using vaginal access and uterine size as decision tree branches. We excluded the laparoscopic hysterectomy route. A prerobot cohort (2004-2005) was used to evaluate a practice change after the addition of robotic technology (2007). Costs were estimated.

RESULTS

Cohorts were similar in regard to uterine size, vaginal parity, and prior laparotomy history. In the prerobot cohort (n=473), 320 hysterectomies (67.7%) were performed vaginally and 153 (32.3%) through laparotomy with 15.1% (46/305) performed abdominally when the algorithm specified vaginal hysterectomy. In the postrobot cohort (n=1,198), 672 hysterectomies (56.1%) were vaginal; 390 (32.6%) robot-assisted; and 136 (11.4%) abdominal. Of 743 procedures, 38 (5.1%) involved laparotomy and 154 (20.7%) involved robotic technique when a vaginal approach was expected. Robotic hysterectomies had longer operations (141 compared with 59 minutes, P<.001) and higher rates of surgical site infection (4.7% compared with 0.2%, P<.001) and urinary tract infection (8.1% compared with 4.1%, P=.05) but no difference in major complications (P=.27) or readmissions (P=.27) compared with vaginal hysterectomy. Algorithm conformance would have saved an estimated $800,000 in hospital costs over 5 years.

CONCLUSION

When a decision tree algorithm indicated vaginal hysterectomy as the route of choice, vaginal hysterectomy was associated with shorter operative times, lower infection rate, and lower cost. Vaginal hysterectomy should be the route of choice when feasible.

Bowel injury in robotic gynecologic surgery: risk factors and management options. A systematic review

OBJECTIVE

We sought to analyze the published literature on bowel injuries in patients undergoing gynecologic robotic surgery with the aim to determine its incidence, predisposing factors, and treatment options.

DATA SOURCES

Studies included in this analysis were identified by searching PubMed Central, OVID Medline, EMBASE, Cochrane, and ClinicalTrials.gov databases. References for all studies were also reviewed. Time frame for data analysis spanned from November 2001 through December 2014.

STUDY ELIGIBILITY CRITERIA

All English-language studies reporting the incidence of bowel injury or complications during robotic gynecologic surgery were included. Studies with data duplication, not in English, case reports, or studies that did not explicitly define bowel injury incidence were excluded.

STUDY APPRAISAL AND SYNTHESIS METHODS

The Guidelines for Meta-Analyses and Systematic Reviews of Observational Studies were used to complete the systematic review with the exception of scoring study quality and a single primary reviewer.

RESULTS

In all, 370 full-text articles were reviewed and 144 met the inclusion criteria. There were 84 bowel injuries recorded in 13,444 patients for an incidence of 1 in 160 (0.62%; 95% confidence interval, 0.50-0.76%). There were no significant differences in incidence of bowel injury by procedure type. The anatomic location of injury, etiology, and management were rarely reported. Of the bowel injuries, 87% were recognized intraoperatively and the majority (58%) managed via a minimally invasive approach. Of 13,444 patients, 3 (0.02%) (95% confidence interval, 0.01-0.07%) died in the immediate postoperative period and no deaths were a result of a bowel injury.

CONCLUSION

The overall incidence of bowel injury in robotic-assisted gynecologic surgery is 1 in 160. When the location of bowel injuries were specified, they most commonly occurred in the colon and rectum and most were managed via a minimally invasive approach.

Crowdsourcing: a valid alternative to expert evaluation of robotic surgery skills

BACKGROUND

Robotic-assisted gynecologic surgery is common, but requires unique training. A validated assessment tool for evaluating trainees' robotic surgery skills is Robotic-Objective Structured Assessments of Technical Skills.

OBJECTIVE

We sought to assess whether crowdsourcing can be used as an alternative to expert surgical evaluators in scoring Robotic-Objective Structured Assessments of Technical Skills.

STUDY DESIGN

The Robotic Training Network produced the Robotic-Objective Structured Assessments of Technical Skills, which evaluate trainees across 5 dry lab robotic surgical drills. Robotic-Objective Structured Assessments of Technical Skills were previously validated in a study of 105 participants, where dry lab surgical drills were recorded, de-identified, and scored by 3 expert surgeons using the Robotic-Objective Structured Assessments of Technical Skills checklist. Our methods-comparison study uses these previously obtained recordings and expert surgeon scores. Mean scores per participant from each drill were separated into quartiles. Crowdworkers were trained and calibrated on Robotic-Objective Structured Assessments of Technical Skills scoring using a representative recording of a skilled and novice surgeon. Following this, 3 recordings from each scoring quartile for each drill were randomly selected. Crowdworkers evaluated the randomly selected recordings using Robotic-Objective Structured Assessments of Technical Skills. Linear mixed effects models were used to derive mean crowdsourced ratings for each drill. Pearson correlation coefficients were calculated to assess the correlation between crowdsourced and expert surgeons' ratings.

RESULTS

In all, 448 crowdworkers reviewed videos from 60 dry lab drills, and completed a total of 2517 Robotic-Objective Structured Assessments of Technical Skills assessments within 16 hours. Crowdsourced Robotic-Objective Structured Assessments of Technical Skills ratings were highly correlated with expert surgeon ratings across each of the 5 dry lab drills (r ranging from 0.75-0.91).

CONCLUSION

Crowdsourced assessments of recorded dry lab surgical drills using a validated assessment tool are a rapid and suitable alternative to expert surgeon evaluation.

Comparison of robotic and other minimally invasive routes of hysterectomy for benign indications

BACKGROUND

Despite a lack of evidence showing improved clinical outcomes with robotic-assisted hysterectomy over other minimally invasive routes for benign indications, this route has increased in popularity over the last decade.

OBJECTIVE

We sought to compare clinical outcomes and estimated cost of robotic-assisted vs other routes of minimally invasive hysterectomy for benign indications.

STUDY DESIGN

A statewide database was used to analyze utilization and outcomes of minimally invasive hysterectomy performed for benign indications from Jan. 1, 2013, through July 1, 2014. A 1-to-1 propensity score-match analysis was performed between women who had a hysterectomy with robotic assistance vs other minimally invasive routes (laparoscopic and vaginal, with or without laparoscopy). Perioperative outcomes, intraoperative bowel and bladder injury, 30-day postoperative complications, readmissions, and reoperations were compared. Cost estimates of hysterectomy routes, surgical site infection, and postoperative blood transfusion were derived from published data.

RESULTS

In all, 8313 hysterectomy cases were identified: 4527 performed using robotic assistance and 3786 performed using other minimally invasive routes. A total of 1338 women from each group were successfully matched using propensity score matching. Robotic-assisted hysterectomies had lower estimated blood loss (94.2 ± 124.3 vs 175.3 ± 198.9 mL, P < .001), longer surgical time (2.3 ± 1.0 vs 2.0 ± 1.0 hours, P < .001), larger specimen weights (178.9 ± 186.3 vs 160.5 ± 190 g, P = .007), and shorter length of stay (14.1% [189] vs 21.9% [293] ≥2 days, P < .001). Overall, the rate of any postoperative complication was lower with the robotic-assisted route (3.5% [47] vs 5.6% [75], P = .01) and driven by lower rates of superficial surgical site infection (0.07% [1] vs 0.7% [9], P = .01) and blood transfusion (0.8% [11] vs 1.9% [25], P = .02). Major postoperative complications, intraoperative bowel and bladder injury, readmissions, and reoperations were similar between groups. Using hospital cost estimates of hysterectomy routes and considering the incremental costs associated with surgical site infections and blood transfusions, nonrobotic minimally invasive routes had an average net savings of $3269 per case, or 24% lower cost, compared to robotic-assisted hysterectomy ($10,160 vs $13,429).

CONCLUSION

Robotic-assisted laparoscopy does not decrease major morbidity following hysterectomy for benign indications when compared to other minimally invasive routes. While superficial surgical site infection and blood transfusion rates were statistically lower in the robotic-assisted group, in the absence of substantial reductions in clinically and financially burdensome complications, it will be challenging to find a scenario in which robotic-assisted hysterectomy is clinically superior and cost-effective.

Hysterectomy for benign disease: clinical practice guidelines from the French College of Obstetrics and Gynecology

OBJECTIVE

The objective of the study was to draw up French College of Obstetrics and Gynecology (CNGOF) clinical practice guidelines based on the best available evidence concerning hysterectomy for benign disease.

METHODS

Each recommendation for practice was allocated a grade, which depends on the level of evidence (clinical practice guidelines).

RESULTS

Hysterectomy should be performed by a high-volume surgeon (>10 hysterectomy procedures per year) (gradeC). Stimulant laxatives taken as a rectal enema are not recommended prior to hysterectomy (gradeC). It is recommended to carry out vaginal disinfection using povidone-iodine solution prior to hysterectomy (grade B). Antibiotic prophylaxis is recommended during hysterectomy, regardless of the surgical approach (grade B). The vaginal or laparoscopic approach is recommended for hysterectomy for benign disease (grade B), even if the uterus is large and/or the patient is obese (gradeC). The choice between these two surgical approaches depends on other parameters, such as the surgeon's experience, the mode of anesthesia, and organizational constraints (duration of surgery and medical economic factors). Vaginal hysterectomy is not contraindicated in nulliparous women (gradeC) or in women with previous cesarean section (gradeC). No specific hemostatic technique is recommended with a view to avoiding urinary tract injury (gradeC). In the absence of ovarian disease and a personal or family history of breast/ovarian carcinoma, the ovaries should be preserved in pre-menopausal women (grade B). Subtotal hysterectomy is not recommended with a view to reducing the risk of peri- or postoperative complications (grade B).

CONCLUSION

The application of these recommendations should minimize risks associated with hysterectomy.

Role of Minimally Invasive Surgery in Gynecologic Oncology: An Updated Survey of Members of the Society of Gynecologic Oncology

OBJECTIVES

To evaluate the current patterns of use of minimally invasive surgical procedures, including traditional, robotic-assisted, and single-port laparoscopy, by Society of Gynecologic Oncology (SGO) members and to compare the results to those of our 2004 and 2007 surveys.

METHODS

The Society of Gynecologic Oncology members were surveyed through an online or mailed-paper survey. Data were analyzed and compared with results of our prior surveys.

RESULTS

Four hundred six (32%) of 1279 SGO members responded. Eighty-three percent of respondents (n = 337) performed traditional laparoscopic surgery (compared with 84% in 2004 and 91% in 2007). Ninety-seven percent of respondents performed robotic surgery (compared with 27% in 2007). When respondents were asked to indicate procedures that they performed with the robot but not with traditional laparoscopy, 75% indicated radical hysterectomy and pelvic lymphadenectomy for cervical cancer. Overall, 70% of respondents indicated that hysterectomy and staging for uterine cancer was the procedure they most commonly performed with a minimally invasive approach. Only 17% of respondents who performed minimally invasive surgery performed single-port laparoscopy, and only 5% of respondents indicated that single-port laparoscopy has an important or very important role in the field.

CONCLUSIONS

Since our prior surveys, we found a significant increase in the overall use and indications for robotic surgery. Radical hysterectomy or trachelectomy and pelvic lymphadenectomy for cervical cancer and total hysterectomy and staging for endometrial cancer were procedures found to be significantly more appropriate for the robotic platform in comparison to traditional laparoscopy. The indications for laparoscopy have expanded beyond endometrial cancer staging to include surgical management of early-stage cervical and ovarian cancers, but the use of single-port laparoscopy remains limited.

Laparoscopic versus robotic-assisted sacrocolpopexy for pelvic organ prolapse: a systematic review

The use of robot-assisted surgery (RAS) has gained popularity in the field of gynaecology, including pelvic floor surgery. To assess the benefits of RAS, we conducted a systematic review of randomized controlled trials comparing laparoscopic and robotic-assisted sacrocolpopexy. The Cochrane Library (1970–January 2015), MEDLINE (1966 to January 2015), and EMBASE (1974 to January 2015) were searched, as well as ClinicalTrials.gov and the International Clinical Trials Registry Platform. We identified two randomized trials (n = 78) comparing laparoscopic with robotic sacrocolpopexy. The Paraiso 2011 study showed that laparoscopic was faster than robotic sacrocolpopexy (199 ± 46 vs. 265 ± 50 min; p < .001), yet in the ACCESS trial, no difference was present (225 ± 62.3 vs. 246.5 ± 51.3 min; p = .110). Costs for using the robot were significantly higher in both studies, however, in the ACCESS trial, only when purchase and maintenance of the robot was included (LSC US$11,573 ± 3191 vs. RASC US$19,616 ± 3135; p < .001). In the Paraiso study, RASC was more expensive even without considering those costs (LSC US$ 14,342 ± 2941 vs. RASC 16,278 ± 3326; p = 0.008). Pain was reportedly higher after RASC, although at different time points after the operation. There were no differences in anatomical outcomes, pelvic floor function, and quality of life. The experience with RASC was tenfold lower than that with LSC in both studies. The heterogeneity between the two studies precluded a meta-analysis. Based on small randomized studies, with surgeons less experienced in RAS than in laparoscopic surgery, robotic surgery significantly increases the cost of a laparoscopic sacrocolpopexy. RASC would be more sustainable if its costs would be lower. Though RASC may have other benefits, such as reduction of the learning curve and increased ergonomics or dexterity, these remain to be demonstrated.

Learning Experiences in Robotic-Assisted Laparoscopic Surgery

With the use and adoption of computer-assisted laparoscopic technology gaining more prominence, important issues pertaining to the learning process are raised. Several modalities can be incorporated into a training program for robotic surgical development. The role and utility of various methods, including didactic instruction, virtual reality simulators, dry and wet laboratories, bedside assistance, mentoring, as well as proctorship, are still in the process of being assessed and validated. Integration of robotic training in residency and fellowship programs as well as the formation of a structured didactic robotic curriculum continues to be a challenge. Finally, methods to assess competency of training and the process for credentialing robotic surgeons still require further structuring and codification.

Cost comparison of robotic-assisted laparoscopic hysterectomy versus standard laparoscopic hysterectomy

The aim of the study was to assess if the cost of robotic-assisted total laparoscopic hysterectomy is similar to the cost of standard laparoscopic hysterectomy when performed by surgeons past their initial learning curve. A retrospective chart review of all hysterectomies was performed for benign indications without concomitant major procedures at Orange Coast Memorial Medical Center (OCMMC) and Saddleback Memorial Medical Center between January 1, 2013 and September 30, 2013. Robotic-assisted total laparoscopic hysterectomies (RTLH) and standard laparoscopic hysterectomies (LAVH and TLH) were compared. Data analyzed included only those hysterectomies performed by surgeons past their initial learning curve (minimum of 30 previous robotic cases). The primary outcome was the direct total cost of patient's hospitalization related to hysterectomy. The secondary outcomes were estimated blood loss, surgery time, and days in hospital post-surgery. A multiple linear regression model was applied to evaluate the difference between RTLH and LAVH/TLH in hospital cost, blood loss, and surgery time, while adjusting for hospital, patient's age, body mass index (BMI), whether or not the patient had previous abdominal/pelvic surgery, and uterine weight. The χ (2) test was applied to examine the association between hospital stay and surgery type. There were 93 hysterectomies (5 LAVH, 88 RTLH) performed at OCMMC and 90 hysterectomies (6 LAVH, 17 TLH, 67 RTLH) performed at Saddleback Memorial Medical Center. The hospitalization total cost result showed that, after adjusting for hospital, age, BMI, previous abdominal/pelvic surgery, and uterine weight, RTLH was not significantly more expensive than LAVH/TLH (mean diff. = $283.1, 95 % CI = [-569.6, 1135.9]; p = 0.51) at the 2 study hospitals. However, the cost at OCMMC was significantly higher than Saddleback Memorial Medical Center (mean diff. = $2008.7, 95 % CI = [1380.6, 2636.7]; p < 0.0001); and the cost increased significantly with uterine weight (β = 3.8, 95 % CI = [2.3, 5.3]; p < 0.0001). Further analysis showed significantly less blood loss (mean diff. = -78.5 ml, 95 % CI = [-116.8, -40.3]; p < 0.0001) and shorter surgery time (mean diff. = -21.9 min., 95 % CI = [-39.6, -4.2]; p = 0.016) for RTLH versus LAVH/TLH. There was no significant association between hospital stay and surgery type (p = 0.43). After adjusting for patient-level covariates, there was no statistically significant cost difference of performing robotically assisted laparoscopic hysterectomy versus standard laparoscopic hysterectomy when performed by surgeons past their initial learning curve at two community hospitals.