Glenn E. Bigsby
Robotics Institute
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Featured researches published by Glenn E. Bigsby.
Gynecologic Oncology | 2009
Robert W. Holloway; S. Ahmad; Sara A. DeNardis; Lorna B. Peterson; Nazia Sultana; Glenn E. Bigsby; Dirk P. Pikaart; Neil J. Finkler
OBJECTIVES To provide an objective analysis of surgical performance of robotic-assisted laparoscopic hysterectomy (RALH) with lymphadenectomy for endometrial cancer during the learning phase of the procedure and to assess opportunities for improvement. METHODS From July 2006 to March 2008, 100 patients with endometrial cancer underwent RALH with lymphadenectomy using the da Vinci Robotic Surgical System. Data were analyzed for operative time (OT), estimated blood loss (EBL), length of stay (LOS), intra-operative complications, surgical-pathologic factors, and post-operative complications using an intent-to-treat analysis. A comparison of the data on a quartile (Q) basis was performed for the 100 RALH cases and separately for the 65 cases that had a complete pelvic-and-aortic lymphadenectomy (PAL). RESULTS Age and body mass index (BMI) did not change significantly during the study. More grade 3 tumors were treated in the last 50 cases (22% vs. 10%, p<0.05). Stage III tumors were identified in 18.7% cases in Q2-4 and none in Q1 (p<0.05). The number of patients undergoing complete PAL and the number of aortic lymph nodes (LN) removed per case increased each quarter. There were 4 (4%) conversions to laparotomy. Delayed vaginal cuff healing decreased from 16% in Q1 to 0% in Q3-4. No case required blood transfusion. Comparing first 10 cases to the last 10 cases, the total LN counts increased from 15 to 21 nodes, the aortic LN counts increased from 4.7 to 8.0, and the OT decreased from 203 to 160 min. Intra-surgeon analysis revealed an improvement in the total LN yields from first 50 to second 50 cases for each surgeon. CONCLUSIONS Operative times decreased and aortic dissections improved with increasing LN counts during the first 100 cases of RALH. Furthermore, patient safety and improvement in surgical performance was demonstrated.
Gynecologic Oncology | 2012
Floor J. Backes; Lorna A. Brudie; M. Ryan Farrell; Sarfraz Ahmad; Neil J. Finkler; Glenn E. Bigsby; David M. O'Malley; David E. Cohn; Robert W. Holloway; Jeffrey M. Fowler
OBJECTIVE Although intra-operative and immediate postoperative complications of robotic surgery are relatively low, little is known about long-term morbidity. We set out to assess both short- and long-term morbidities after robotic surgery for endometrial cancer staging. METHODS All patients who underwent robotic staging for EMCA between 2006 and 2009 from two institutions were identified. Patient charts were retrospectively reviewed for surgical complications and postoperative morbidities. RESULTS Five hundred three patients were identified. No differences in complication rates were found between 2006-2007 and 2008-2009, even though the median BMI increased from 29.9 (range 19-52) to 32 (range 17-70) (p=0.03). 6.4% of cases were converted to laparotomy. Median length of stay was one day (range 1-46). No cystotomies, two enterotomies, one ureteric injury, and five vessel injuries occurred (1.6% intra-operative complications). Thirty-eight (7.6%) patients developed major postoperative complications, 11 (2.2%) had wound infections, and 15 (3%) required a transfusion in the 30-day peri-operative period. The total venous thromboembolism (VTE) rate for robotic cases was 1.7%. Partial cuff dehiscence managed conservatively occurred in 5 (1%) and complete dehiscence requiring closure in 7 (1.4%) patients; Sixty-three (13.4%) patients who had robotic staging developed lymphedema, with 40 (8%) requiring physical therapy. CONCLUSIONS This study provides one of the largest cohorts of patients with robotic-assisted hysterectomy and lymphadenectomy (in 92.6%) with an assessment of morbidity. Our data demonstrates that robotic surgical staging can be safely performed with a low risk of short-term complications and lymphedema is the most frequent long-term morbidity.
Gynecologic Oncology | 2016
Robert W. Holloway; Sarika Gupta; Nicole M. Stavitzski; Xiang Zhu; Erica L. Takimoto; A. Gubbi; Glenn E. Bigsby; Lorna A. Brudie; J.E. Kendrick; S. Ahmad
OBJECTIVES To compare the performance of sentinel lymph node (SLN) mapping with staging lymphadenectomy versus staging lymphadenectomy alone for the detection of metastasis and the use of adjuvant therapies in patients with endometrial cancer. METHODS All patients with apparent early-stage endometrial cancer (n=780) who underwent robotic-assisted hysterectomy with pelvic±aortic lymphadenectomy from July-2006 to June-2013 were compared [pelvic±aortic lymphadenectomy (n=661) versus SLN-mapped cases with pelvic±aortic lymphadenectomy (n=119)]. Isosulfan-blue and indocyanine-green with near-infrared imaging were used for SLN mapping. Clinico-pathological data, FIGO stage, GOG risk category, and adjuvant therapies were compared. RESULTS Non-mapped and mapped cases were comparable with respect to BMI, histology, depth-of-invasion, and lympho-vascular space invasion. The mapped group had more pelvic lymph node (LN) harvested compared to non-mapped group (26.4±10.5 vs. 18.8±8.5, p<0.001). Aortic LN yields were identical for both groups (9.0±5.6 vs. 9.0±6.0). The mapped group had more LN metastasis detected (30.3% vs. 14.7%, p<0.001), more stage IIIC (30.2% vs. 14.5%, p<0.001), more GOG high-risk cases (32.8% vs. 21.8%, p=0.013), and received more chemotherapy+radiation (28.6% vs. 16.3%, p<0.003). The SLN was the only metastasis in 18 (50%) mapped cases with positive nodes. The SLN false negative rate was 1/36 (2.8%). Micrometastases or isolated tumor cells were identified in 22/35 (62.9%) SLN metastases. Multivariate analysis demonstrated that SLN mapping imparted a significant effect on the detection of metastatic disease [adjusted OR=3.29, p<0.001]. CONCLUSIONS The performance of SLN mapping with staging lymphadenectomy increased the detection of lymph node metastasis and was associated with more use of adjuvant therapies.
Gynecologic Oncology | 2013
Lorna A. Brudie; Floor J. Backes; Sarfraz Ahmad; Xiang Zhu; Neil J. Finkler; Glenn E. Bigsby; David E. Cohn; David M. O'Malley; Jeffrey M. Fowler; Robert W. Holloway
OBJECTIVES To evaluate recurrence-free survival (RFS) and overall survival (OS) for patients who underwent robotic-assisted laparoscopic hysterectomy (RALH) for uterine malignancies. METHODS Medical records from 372 patients with uterine malignancies who underwent RALH from 3/06 to 3/09 at two institutions were reviewed for clinico-pathologic data, adjuvant therapies, disease recurrence, and survival. Median follow-up for survival analysis was 31 ± 14 months. Thirty (8.1%) patients were lost to follow-up before 12 months and censored from the recurrence analysis. RESULTS Mean age and BMI of 372 patients was 61.8 ± 9.8 years and 32.2 ± 8.4 kg/m(2) (range 19-70). Robotic procedures included RALH 16 (4.3%), RALH with pelvic lymphadenectomy (PL) 96 (25.8%), and RALH with pelvic-and-aortic lymphadenectomy (PAL) 252 (67.7%) cases. Histology included 319 (85.8%) endometrioid and 53 (12.6%) high-risk histologies. Mean pelvic and aortic lymph node counts were 16.8 ± 8.7 and 8.4 ± 4.5, respectively. Lymph node metastases were identified in 26 (7.3%) cases. Adjuvant therapies were prescribed for 108 (29.1%) of patients: 7.8% brachytherapy, 1.9% pelvic radiation+brachytherapy, 7.8% chemotherapy, 11.6% chemotherapy+radiation. Risk of recurrence for all patients was 8.3% and 17 (4.6%) patients died of disease. The estimated 3-year recurrence-free survival (RFS) for the entire study group was 89.3% and the estimated 5-year overall survival (OS) was 89.1%, compared to 92.5% and 93.4% for the endometrioid sub-set. CONCLUSIONS Patients with endometrial cancer undergoing robotic hysterectomy with staging lymphadenectomies during our 3-years of robotic experience had low-risk for recurrence and excellent disease-specific survival at a median follow-up time of 31 months.
Gynecologic Oncology | 2008
Sara A. DeNardis; Robert W. Holloway; Glenn E. Bigsby; Dirk P. Pikaart; Sarfraz Ahmad; Neil J. Finkler
Gynecologic Oncology | 2007
Dirk P. Pikaart; Robert W. Holloway; Sarfraz Ahmad; Neil J. Finkler; Glenn E. Bigsby; B. Hannah Ortiz; Sara A. DeNardis
Annals of Surgical Oncology | 2017
Robert W. Holloway; Sarfraz Ahmad; J.E. Kendrick; Glenn E. Bigsby; Lorna A. Brudie; Giselle B. Ghurani; Nicole M. Stavitzski; Jasmine L. Gise; Susan B. Ingersoll; Julie W. Pepe
Journal of Robotic Surgery | 2012
Lorna A. Brudie; Giorgia Gaia; Sarfraz Ahmad; Neil J. Finkler; Glenn E. Bigsby; Giselle B. Ghurani; J.E. Kendrick; Joseph A. Rakowski; Jessica H. Groton; Robert W. Holloway
Gynecologic Oncology | 2005
Glenn E. Bigsby; Robert W. Holloway; Burkhard Weppelman; Robert B. Reynolds; Briana Williams
International Journal of Gynecological Pathology | 2007
Tien Anh N. Tran; Hannah B. Ortiz; Robert W. Holloway; Glenn E. Bigsby; Neil J. Finkler