Robotic surgery in gynecologic oncology fellowship programs in the USA: a survey of fellows and fellowship directors

Medicolegal, infrastructural, and financial aspects in gynecologic cancer surgery and their implications in decision making processes: Quo Vadis?

Surgical decision making is complex and involves a combination of analytic, intuitive, and cognitive processes. Medicolegal, infrastructural, and financial factors may influence these processes depending on the context and setting, but to what extent can they influence surgical decision making in gynecologic oncology? This scoping review evaluates existing literature related to medicolegal, infrastructural, and financial aspects of gynecologic cancer surgery and their implications in surgical decision making. Our objective was to summarize the findings and limitations of published research, identify gaps in the literature, and make recommendations for future research to inform policy.

Implementation and evaluation of a novel subspecialty society fellows robotic surgical course: the SGO minimally invasive academy surgical curriculum

OBJECTIVE

To evaluate the utility of a society-based robotic surgery training program for fellows in gynecologic oncology.

METHODS

All participants underwent a 2-day robotic surgery training course between 2015-2017. The course included interactive didactic sessions with video, dry labs, and robotic cadaver labs. The labs encompassed a wide range of subject matter including troubleshooting, instrument variation, radical hysterectomies, and lymph node dissections. Participants completed a pre- and post-course survey using a 5-point Likert scale ranging from "not confident" to "extremely confident" on various measures. Statistical analysis was performed using SPSS Statistics v. 24.

RESULTS

The response rate was high with 86% of the 70 participants completing the survey. Sixteen (26.7%) of these individuals were attending physicians and 44 (73.3%) were fellows. In general, there was a significant increase in confidence in more complex procedures and concepts such as radical hysterectomy (p=0.01), lymph node dissection (p=0.01), troubleshooting (p=0.001), and managing complications (p=0.004). Faculty comfort and practice patterns were cited as the primary reason (58.9%) for limitations during robotic procedures followed secondarily by surgical resources (34.0%).

CONCLUSION

In both gynecologic oncology fellows and attendings, this educational theory-based curriculum significantly improved confidence in the majority of procedures and concepts taught, emphasizing the value of hands-on skill labs.

Minimally Invasive Surgery Rate as a Quality Metric for Endometrial Cancer

STUDY OBJECTIVE

To determine the frequency with which Commission on Cancer-accredited hospitals met a metric of ≥80% minimally invasively performed hysterectomies for endometrial cancer and to compare the clinical outcomes of hospitals meeting this metric with those that did not.

DESIGN

Retrospective cohort study.

SETTING

Hospitals caring for ≥20 endometrial cancer patients per year recorded in the National Cancer Database in 2015 were included.

PATIENTS

Women who had undergone hysterectomy for endometrial cancer and had an epithelial histology, a Charlson comorbidity score of 0, and stage I to III disease.

INTERVENTION

Patient characteristics, patterns of care, and outcomes were compared between hospitals performing ≥80% minimally invasive hysterectomies and hospitals not meeting this metric.

MEASUREMENTS AND MAIN RESULTS

The hospitals (n = 510) treated 20 670 women with endometrial cancer. In 283 (55%) hospitals ≥80% of hysterectomies were minimally invasively performed (high-minimally invasive surgery [MIS] hospitals, overall MIS rate 89%). In the 227 hospitals that did not meet this metric, 61% of hysterectomies for endometrial cancer were performed using a minimally invasive approach. In high-MIS hospitals, patients were more likely to be white (87% vs 82%, p<.001), privately insured (53% vs 49%, p <.001), and have stage I disease (84% vs 82%, p = .002) and an endometrioid histology (79% vs 76%, p <.001). Surgery was more often performed robotically (80% vs 71%), and conversion to laparotomy was less likely (1.5% vs 3.2%, adjusted odds ratio [aOR], 0.47; 95% confidence interval [CI], 0.39-0.57) (both p <.001). Patients treated at high-MIS hospitals were more likely to have undergone lymph node assessment at the time of surgery (76% vs 69%; aOR, 1.43; 95% CI, 1.35-1.53) and been discharged on the same or next day (74% vs 57%; aOR, 2.27; 95% CI, 2.13-2.42) and were less likely to have an unplanned 30-day readmission (1.8% vs 2.9%; aOR, 0.64; 95% CI, 0.53-0.77).

CONCLUSION

An MIS rate of ≥80% for endometrial cancer is feasible on a national scale and is associated with other hospital-level measurements of high-quality care.

Current status of robot-assisted urologic surgery in Saudi Arabia: Trends and opinions from an Internet-based survey

Objectives:

The objective of this study is to assess the current status of urologic robot-assisted surgery (RAS) in Saudi Arabia and evaluate perceptions of its importance and utility.

Methods:

A 59-item questionnaire was E-mailed to urologists and trainees in Saudi Arabia to assess the demographics and individual and institutional surgical practices of minimally invasive surgery (MIS) with a focus on RAS and urologic subtypes.

Results:

Ninety-five surveys were completed. Nearly 53%, 46%, and 21% of respondents were formally trained in laparoscopic surgery, MIS, and RAS, respectively. Forty percent had used a robot console during training. Nearly 72% of participants felt that RAS training should be included to accomplish their career goals and stated that it would strengthen the department academically and financially. The absence of a robotic system (45%) and administrative disinterest with lack of support (39%) were the most common deterrents. Robot-assisted radical prostatectomy (RARP), robot-assisted radical cystectomy (RARC), and robot-assisted radical nephrectomy (RARN) were regarded as the gold standard for 34%, 23%, and 17% of respondents, respectively. Respondents would recommend RARP (74%), RARC (50%), and RARN (57%) for themselves or their family. The greatest perceived benefits of RAS were its ease of use and improvement in the patient's quality of life.

Conclusion:

Urologists in Saudi Arabia recognize the superiority of RAS over traditional surgical methods but lack exposure, training, and access to RAS. This survey reveals increasing acceptance of RAS and willingness to incorporate the technology into practice.

Robot-assisted laparoscopic myomectomy: current status

Robotic-assisted surgery has seen a rapid development and integration in the field of gynecology. Since the approval of the use of robot for gynecological surgery and considering its several advantages over conventional laparoscopy, it has been widely incorporated especially in the field of reproductive surgery. Uterine fibroids are the most common benign tumors of the female reproductive tract. Many reproductive-aged women with this condition demand uterine-sparing surgery to preserve their fertility. Myomectomy, the surgical excision of uterine fibroids, remains the only surgical management option for fibroids that entails preservation of fertility. In this review, we focus on the role of robotic-assisted laparoscopic myomectomy and its current status, in comparison with other alternative approaches for myomectomy, including open, hysteroscopic, and traditional laparoscopic techniques. Several different surgical techniques have been demonstrated for robotic myomectomy. This review endeavors to share and describe our surgical experience of using the standard laparoscopic equipment for robotic-assisted myomectomy, together with the da Vinci Robot system. For the ideal surgical candidate, robotic-assisted myomectomy is a safe minimally invasive surgical procedure that can be offered as an alternative to open surgery. The advantages of using the robot system compared to open myomectomy include a shorter length of hospital stay, less postoperative pain and analgesic use, faster return to normal activities, more rapid return of the bowel function, and enhanced cosmetic results due to smaller skin incision sizes. Some of the disadvantages of this technique include high costs of the robotic surgical system and equipment, the steep learning curve of this novel system, and prolonged operative and anesthesia times. Robotic technology is a novel and innovative minimally invasive approach with demonstrated feasibility in gynecological and reproductive surgery. This technology is expected to take the lead in gynecological surgery in the upcoming decade.

Robotic Surgery in Gynecology

Minimally invasive surgery (MIS) can be considered as the greatest surgical innovation over the past 30 years. It revolutionized surgical practice with well-proven advantages over traditional open surgery: reduced surgical trauma and incision-related complications, such as surgical-site infections, postoperative pain and hernia, reduced hospital stay, and improved cosmetic outcome. Nonetheless, proficiency in MIS can be technically challenging as conventional laparoscopy is associated with several limitations as the two-dimensional (2D) monitor reduction in-depth perception, camera instability, limited range of motion, and steep learning curves. The surgeon has a low force feedback, which allows simple gestures, respect for tissues, and more effective treatment of complications. Since the 1980s, several computer sciences and robotics projects have been set up to overcome the difficulties encountered with conventional laparoscopy, to augment the surgeon’s skills, achieve accuracy and high precision during complex surgery, and facilitate widespread of MIS. Surgical instruments are guided by haptic interfaces that replicate and filter hand movements. Robotically assisted technology offers advantages that include improved three-dimensional stereoscopic vision, wristed instruments that improve dexterity, and tremor canceling software that improves surgical precision.

The future of obstetrics/gynecology in 2020: a clearer vision. Transformational forces and thriving in the new system

Revamping the delivery of women's health care to meet future demands will require a number of changes. In the first 2 articles of this series, we introduced the reasons for change, suggested the use of the 'Triple Aim' concept to (1) improve the health of a population, (2) enhance the patient experience, and (3) control costs as a guide post for changes, and reviewed the transformational forces of payment and care system reform. In the final article, we discuss the valuable use of information technology and disruptive clinical technologies. The new health care system will require a digital transformation so that there can be increased communication, availability of information, and ongoing assessment of clinical care. This will allow for more cost-effective and individualized treatments as data are securely shared between patients and providers. Scientific advances that radically change clinical practice are coming at an accelerated pace as the underlying technologies of genetics, robotics, artificial intelligence, and molecular biology are translated into tools for diagnosis and treatment. Thriving in the new system not only will require time-honored traits such as leadership and compassion but also will require the obstetrician/gynecologist to become comfortable with technology, care redesign, and quality improvement.

Using virtual reality to maintain surgical skills during periods of robotic surgery inactivity

Periodic practice is needed for newly trained robotic surgeons to maintain skills during periods of robotic inactivity. The current study was performed to determine whether virtual robotic skill maintenance can serve as an adequate substitute for practice on a surgical robot. Eleven surgical residents with no prior robotic training were trained to a level of robotic proficiency with inanimate models, including a needle driving pad, a running suture pad, and ring placement on a rocking peg board. After reaching proficiency, each resident was tested on a complex tissue closure task. For the next 8 weeks, the only robotic activity was biweekly virtual robotic skills maintenance. After 8 weeks, the residents performed the tissue closure task twice with the robot, followed by evaluation on the inanimate models used to reach proficiency. Repeated-measures statistical analyses were used to compare between the three tissue closure trials and between the final test at week 0 and the evaluation at week 8 for the other inanimate models. Time to complete the tissue closure task was more than 20 % lower for the second evaluation at 8 weeks than for the other two trials (p < 0.05). Residents maintained their skills for needle driving, but times for suture running and rocking peg board increased by more than 20 % at 8 weeks (p < 0.01). Virtual practice shows promise for maintaining robotic skills. Following a warm-up period, some skills may actually improve with biweekly virtual practice, but skill retention is selective, so further improvements are needed.

Outcomes of gynecologic oncology patients undergoing robotic-assisted laparoscopic procedures in a university setting

This study evaluated intraoperative complications and postoperative outcomes of gynecologic oncology patients undergoing robotic-assisted (RA) laparoscopic procedures in a university setting. A retrospective chart review evaluated all gynecologic oncology patients at the University of Alabama at Birmingham who underwent attempted RA procedures between August 2006 and October 2011. Patient demographics, medical/surgical history, intraoperative complications, postoperative outcomes, conversion rates, readmission rates, and length of stay were examined. Total complication rates were assessed over time for each surgeon. 681 patients underwent planned RA procedures by seven gynecologic oncologists. The mean body mass index was 33.5 kg/m(2) (range 16.6-71.0 kg/m(2)). 61.4 % were diagnosed with malignancy. The most common procedure was RA hysterectomy with unilateral/bilateral salpingo-oophorectomy (37.2 %). Robotic staging was performed in 291 patients (45.1 %). Mean estimated blood loss was 75 ml (range 5-700 ml). 36 patients (5.3 %) were converted to laparotomy. The most common reason for conversion was adhesions (30.1 %), followed by uterine size (22.2 %). In 107 cases, a surgical modification was required for specimen removal including mini-laparotomy (24), extension of accessory port (36), morcellation (9), and difficult vaginal delivery (38). 3.7 % had intraoperative complications; 6 patients had a cystotomy and 5 had a vascular injury. Postoperatively, 20 patients had a febrile episode, 9 had wound complications, and 3 had a vaginal cuff dehiscence. 27 (4.2 %) patients were readmitted within 30 days. Complication rates and conversion rates were similar per surgeon. Total complication rates for evaluable surgeons were similar between the first 10 cases and subsequent 50 cases. Although patients undergoing RA procedures in a university setting are high risk, the conversion rate to laparotomy is low and intraoperative and postoperative complications are acceptable. Total complication rates for each surgeon were not impacted by the number of cases performed.

Training to maintain surgical skills during periods of robotic surgery inactivity

BACKGROUND

The study was performed to establish a level of practice needed for newly-trained residents to maintain robotic surgical skills during periods of robotic inactivity.

METHODS

Ten surgical residents were trained to a standardized level of robotic surgery proficiency with inanimate models. At the end of two, four and six weeks, the residents practiced with the models for a total of one hour. Each resident performed a timed tissue closure task immediately after reaching the proficiency standards and twice in succession at eight weeks. Time to completion was compared between the three trials with a repeated measures ANOVA and a post-hoc test.

RESULTS

Average time to complete the tissue closure task decreased by more than 25% over the period between reaching the proficiency standards and the trials at eight weeks, with the difference significant (P < 0.004).

CONCLUSIONS

Biweekly practice for one hour was sufficient to maintain robotic surgical skills.

Successful incorporation of robotic surgery into gynecologic oncology fellowship training

BACKGROUND

The increasing role of robotic surgery in gynecologic oncology may impact fellowship training. The purpose of this study was to review the proportion of robotic procedures performed by fellows at the console, and compare operative times and lymph node yields to faculty surgeons.

METHODS

A prospective database of women undergoing robotic gynecologic surgery has been maintained since 2008. Intra-operative datasheets completed include surgical times and primary surgeon at the console. Operative times were compared between faculty and fellows for simple hysterectomy (SH), bilateral salpingo-oophorectomy (BSO), pelvic (PLND) and paraaortic lymph node dissection (PALND) and vaginal cuff closure (VCC). Lymph nodes counts were also compared.

RESULTS

Times were recorded for 239 SH, 43 BSOs, 105 right PLNDs, 104 left PLNDs, 34 PALND and 269 VCC. Comparing 2008 to 2011, procedures performed by the fellow significantly increased; SH 16% to 83% (p<0.001), BSO 7% to 75% (p=0.005), right PLND 4% to 44% (p<0.001), left PLND 0% to 56% (p<0.001), and VCC 59% to 82% (p=0.024). Console times (min) were similar for SH (60 vs. 63, p=0.73), BSO (48 vs. 43, p=0.55), and VCC (20 vs. 22, p=0.26). Faculty times (min) were shorter for PLND (right 26 vs. 30, p=0.04, left 23 vs. 27, p=0.02). Nodal counts were not significantly different (right 7 vs. 8, p=0.17 or left 7 vs. 7, p=0.87).

CONCLUSIONS

Robotic surgery can be successfully incorporated into gynecologic oncology fellowship training. With increased exposure to robotic surgery, fellows had similar operative times and lymph node yields as faculty surgeons.

Dual-console robotic surgery compared to laparoscopic surgery with respect to surgical outcomes in a gynecologic oncology fellowship program

OBJECTIVE

Minimally invasive surgical techniques decrease surgical morbidity and recovery time. Studies demonstrate similar surgical outcomes comparing robotic to laparoscopic surgery. These studies have not accounted for the incorporation of fellow education. With the dual-console da Vinci Si Surgical System®, a two surgeon approach could be performed. We sought to compare surgical outcomes at a gynecologic oncology fellowship program of traditional laparoscopic to robotic surgeries using the dual-console system.

METHODS

We identified patients who underwent laparoscopic or robotic surgery performed by a gynecologic oncologist from November 2009-November 2010. Robotic surgeries were conducted using the dual-console, utilizing a two surgeon approach. Surgeries involved a staff physician with a gynecologic oncology fellow. Statistical analysis was performed using student t-test and chi-squared analysis.

RESULTS

A total of 222 cases were identified. Cases were analyzed in groups: all cases identified, all cancer cases, and endometrial cancer cases only. When analyzing all cases, no statistical difference was noted in total operating room time (172 vs. 175 min; p=0.6), pelvic lymph nodes removed (10.1 vs. 9.6; p=0.69), para-aortic lymph nodes dissected (3.7 vs. 3.8; p=0.91), or length of stay (1.5 vs. 1.3 days; p=0.3). There was a significant difference in total surgical time (131 vs.110 min; p<0.0001) and EBL (157 vs.94 ml; p<0.0001), favoring robotic surgery. When analyzing all cancer cases, the advantage in total surgical time for robotic surgery was lost. Complications were similar between cohorts.

CONCLUSION

Incorporating fellow education into robotic surgery does not adversely affect outcomes when compared to traditional laparoscopic surgery.

Survey of minimally invasive general surgery fellows training in robotic surgery

Minimally invasive surgery fellowships offer experience in robotic surgery, the nature of which is poorly defined. The objective of this survey was to determine the current status and opportunities for robotic surgery training available to fellows training in the United States and Canada. Sixty-five minimally invasive surgery fellows, attending a fundamentals of fellowship conference, were asked to complete a questionnaire regarding their demographics and experiences with robotic surgery and training. Fifty-one of the surveyed fellows completed the questionnaire (83 % response). Seventy-two percent of respondents had staff surgeons trained in performing robotic procedures, with 55 % of respondents having general surgery procedures performed robotically at their institution. Just over half (53 %) had access to a simulation facility for robotic training. Thirty-three percent offered mechanisms for certification and 11 % offered fellowships in robotic surgery. One-third of the minimally invasive surgery fellows felt they had been trained in robotic surgery and would consider making it part of their practice after fellowship. However, most (80 %) had no plans to pursue robotic surgery fellowships. Although a large group (63 %) felt optimistic about the future of robotic surgery, most respondents (72.5 %) felt their current experience with robotic surgery training was poor or below average. There is wide variation in exposure to and training in robotic surgery in minimally invasive surgery fellowship programs in the United States and Canada. Although a third of trainees felt adequately trained for performing robotic procedures, most fellows felt that their current experience with training was not adequate.

Dual-console robotic surgery: a new teaching paradigm

Robotic surgery has emerged as an alternative option in minimally invasive gynecologic surgery. The development of the dual-console da Vinci Si Surgical System(®) has enabled modification of the training atmosphere. We sought to investigate operative times and surgical outcomes while operating with the dual-console model in a training environment for our first fifty cases. We identified the first fifty patients who underwent robot-assisted total hysterectomy (TRH), with or without bilateral salpingo-oophorectomy (BSO), with or without pelvic and para-aortic lymph node dissection (PPALND), by use of the dual-console robotic system. Records were reviewed for patient demographics and surgical details. All surgery was conducted using the dual-console system and performed by staff physicians and fellows. Operative time was calculated from robotic docking until completion of the procedure. Cases were identified from November 2009 through July 2010. Mean age was 56.2 years (SD 13.35, 95 % CI 52.46-59.86). Mean BMI was 29.5 (SD 7.67, 95 % CI 27.35-31.61). Seventy-eight percent of these patients were considered overweight, including 12 defined as obese (BMI 30-34.9) and 10 patients classified as morbidly obese (BMI ≥ 35). Surgery completed included PPALND alone (n = 1); radical hysterectomy (n = 1); TRH only (n = 3); TRH/BSO (n = 25); and TRH/BSO/PPALND (n = 20). Mean total operating room time was 188.8 min (SD 55.31, 95 % CI 173.45-204.11). Mean total surgical time for all cases was 118.1 min (SD 44.28, 95 % CI 105.87-130.41). Two vascular injuries were encountered, with one requiring conversion to laparotomy. These results compare favorably with historically reported outcomes from single-console systems. Utilizing the dual-console enables use of an integrated teaching and supervising environment without compromising operative times or patient outcomes.

Training and learning robotic surgery, time for a more structured approach: a systematic review

BACKGROUND

Robotic assisted laparoscopic surgery is growing rapidly and there is an increasing need for a structured approach to train future robotic surgeons.

OBJECTIVES

To review the literature on training and learning strategies for robotic assisted laparoscopic surgery.

SEARCH STRATEGY

A systematic search of MEDLINE, EMBASE, the Cochrane Library and the Journal of Robotic Surgery was performed.

SELECTION CRITERIA

We included articles concerning training, learning, education and teaching of robotic assisted laparoscopic surgery in any specialism.

DATA COLLECTION AND ANALYSIS

Two authors independently selected articles to be included. We categorised the included articles into: training modalities, learning curve, training future surgeons, curriculum design and implementation.

MAIN RESULTS

We included 114 full text articles. Training modalities such as didactic training, skills training (dry lab, virtual reality, animal or cadaver models), case observation, bedside assisting, proctoring and the mentoring console can be used for training in robotic assisted laparoscopic surgery. Several training programmes in general and specific programmes designed for residents, fellows and surgeons are described in the literature. We provide guidelines for development of a structured training programme.

AUTHORS' CONCLUSIONS

Robotic surgical training consists of system training and procedural training. System training should be formally organised and should be competence based, instead of time based. Virtual reality training will play an import role in the near future. Procedural training should be organised in a stepwise approach with objective assessment of each step. This review aims to facilitate and improve the implementation of structured robotic surgical training programmes.