Literature DB >> 23318068

Robotic-assisted laparoscopic hysterectomy: outcomes in obese and morbidly obese patients.

Taryn Gallo1, Shabnam Kashani, Divya A Patel, Karim Elsahwi, Dan-Arin Silasi, Masoud Azodi.   

Abstract

OBJECTIVE: To describe patient characteristics and perioperative outcomes among women undergoing roboticassisted laparoscopic hysterectomy and to evaluate the characteristics of nonobese, obese, and morbidly obese patients.
METHODS: A retrospective review was conducted of 442 cases of women who underwent robotic-assisted laparoscopic hysterectomy for benign and malignant conditions over a 4-y period at an academic and community teaching hospital. Patient demographics, surgical indications, operative outcomes, and complications were evaluated for patients with a body mass index (BMI) <30 kg/m(2), 30 kg/m(2) to 39.9 kg/m(2), and ≥40 kg/m(2).
RESULTS: Of the 442 patients, 257 (58%) were obese or morbidly obese, with a BMI of ≥30 kg/m(2). Overall, the median estimated blood loss was 100 mL (range, 10 to 800), the operative time was 135 min (range, 40 to 436), and the length of stay was 1 d (range, 0 to 22). These did not differ significantly by BMI group. Overall, 11.9% of patients experienced complications (7.9% minor, 4.1% major), and this did not differ significantly across BMI groups.
CONCLUSION: Robotic hysterectomy can be performed safely in obese and morbidly obese patients, with surgical outcomes and complications similar to those in nonobese patients.

Entities:  

Mesh:

Year:  2012        PMID: 23318068      PMCID: PMC3535794          DOI: 10.4293/108680812X13462882735890

Source DB:  PubMed          Journal:  JSLS        ISSN: 1086-8089            Impact factor:   2.172


INTRODUCTION

According to the World Health Organization, over one-third of women in the United States are considered obese.[1] Obesity and its comorbidities are well-known risk factors that affect surgical outcomes. With over half a million hysterectomies performed annually in the United States, the importance of investigating minimally invasive techniques remains paramount.[2] Several studies have assessed outcomes in obese patients (BMI >30 kg/m2) undergoing laparoscopic hysterectomy and have shown it to be safe.[3-13] However, several of these studies have noted that for the obese patient there are longer operative times, increased risk of hemorrhage, and higher laparotomy conversion rates.[3,7-9,12] Few gynecologic studies have addressed the role of robotic surgery in the treatment of the morbidly obese patient.[8,10,12] Robotic surgery has addressed some of the difficulties surgeons encounter with laparoscopy. With the functional use of a stable platform, 3-dimensional views, motion scaling, and wristed instruments, some surgeons believe it has lowered the learning curve for laparoscopic hysterectomy with its intuitive operating capabilities. In our experience, computer-assisted robotic surgery allows for easier laparoscopic maneuvering, especially in the obese and morbidly obese patients. Due to the increased thickness of subcutaneous tissue in obese patients, cases can be physically demanding for the surgeon. The robotic system diminishes surgeon strain. It also can potentially reduce trauma to the subcutaneous tissue by utilizing appropriate port placement. The objective of our study was to describe patient characteristics and perioperative outcomes among women undergoing robotic-assisted laparoscopic hysterectomy (RALH) for benign and malignant conditions, and to determine whether these varied among patients who were nonobese, obese and morbidly obese.

METHODS

This study was approved by the Institutional Review Board at our institutions. A retrospective review of short-term clinical outcomes was performed for all patients who underwent RALH for both benign and malignant indications from September 2006 to October 2010 in a single surgeon's teaching practice. All procedures were teaching cases, assisted by a categorical obstetrics and a gynecology resident or fellow at both an academic and community-based teaching hospital. The data were extracted from a database of all the surgeon's patients who underwent robotic-assisted surgery. The database was created using data from the electronic medical record, including records from the operating room, anesthesia and pathology, and supplemented with information from the outpatient clinical records when necessary. Abstracted information included patient demographics, surgical indication and procedure, the duration of the procedure, laparotomy conversion rate, intraoperative and postoperative complications, readmissions, and reoperations. Detailed case reviews were performed for any patient who experienced a complication, readmission, or reoperation. Patients were included in the study if they underwent RALH for benign gynecologic indications, occult ovarian cancer, early cervical cancer, or early endometrial cancer. Patients were excluded if there was metastatic disease, visibly apparent ovarian cancer, endometrial cancer beyond surgical stage 2A, or cervical cancer beyond surgical stage 1B1. No patients were refused the robotic approach based on BMI. Primary outcomes were length of procedure, rate of conversion to laparotomy, length of hospital stay, and complication rates. The primary indicator for surgery is listed as the preoperative diagnosis. The postoperative diagnosis was obtained from the final pathology report. General gynecology indications for hysterectomy included abnormal bleeding, pelvic mass, pelvic pain, genetic predisposition (including BRCA mutation and Lynch syndrome), pelvic organ prolapse, and cervical dysplasia. Patients with a BRCA gene mutation are offered elective hysterectomy at the time of bilateral salpingo-oophorectomy secondary to the possible increased risk of cancer in the cornual fallopian tube. Oncologic indications included endometrial hyperplasia, early endometrial cancer, early cervical cancer, and occult ovarian cancer. Body mass index (BMI) was calculated by a person's weight in kilograms divided by their height in meters squared. Using World Health Organization criteria, the obese group consisted of patients with a BMI >30 kg/m2. The morbidly obese group consisted of patients with a BMI ≥40 kg/m2. Operative time was defined as time from skin incision to skin closure. Although some patients had additional procedures, such as lysis of adhesions, pelvic floor repair, lymph node dissection, treatment of endometriosis, ureterolysis, and cystoscopy, the specific times for these procedures were not recorded. Therefore, the operative time includes the time for these additional procedures. Blood loss measurements were obtained from anesthesia and surgical records. Intraoperative blood loss was estimated by the surgeon and the anesthesia team by calculating the difference between the amount of fluid irrigated and aspirated during the case. The length of stay was calculated by subtracting the date of surgery from the date of discharge. Complications were defined as any adverse events occurring intraoperatively or within 3 mo of original procedure date. Complications were categorized as bacteremia, blood transfusion, bowel injury, fever, hemorrhage, ileus, pelvic abscess, pulmonary or urinary complication, urinary tract infection, vaginal cuff cellulitis, vaginal cuff dehiscence, or vessel injury. These complications were classified as major if they required hospital readmission or reoperation. Minor complications were classified as those that did not require readmission or reoperation. Bacteremia was diagnosed for any patient with positive blood cultures and signs or symptoms of sepsis. Fever was defined by a body temperature of 38°C (101°F) or higher on 2 separate occasions at least 6 h apart. Urinary complications included injuries to the ureters or bladder. Hemorrhage was defined as estimated blood loss >500 mL. All robotic operations were performed using the 4-arm Da Vinci Surgical System (Intuitive Surgical, Mountain View, CA) model S or Si with a 5-port technique. The variations in surgical technique were minimal. In most patients, a sponge stick with the Colpo-pneumo Occluder balloon was inserted in the vagina. In the first 30 patients, a Koh Colpotomizer System (CooperSurgical, Trumbull, CT) in conjunction with a RUMI Uterine Manipulator (CooperSurgical, Trumbull, CT) and a Colpo-pneumo Occluder balloon were inserted prior to port placement. The ports were placed in a sunrise distribution centered around the camera port. After insertion of the laparoscopic ports, the patients were tilted in a steep Trendelenburg position to mobilize the bowel out of the pelvis. The Trendelenburg position was then reversed to the minimum amount needed to keep the bowel out of the pelvis. The robot was positioned between the patient's legs; once the robot was docked, the surgeon sat at the console and performed the operation. The surgery was performed either by the teaching surgeon, fellow, or the rotating gynecology resident with the teaching surgeon's direct supervision. EndoWrist instruments were attached to each arm. The usual robotic instruments used were Hot Shears (monopolar curved scissors) with tip cover accessory and power setting 40W for arm 1, fenestrated bipolar forceps with power setting 40W for arm 2, and Prograsp forceps for arm 3. Vascular pedicles were coagulated and transected by the scrubbed assistant with a 5 mm or 10 mm LigaSure sealer/divider (Valleylab, Boulder, CO). The assistant also performed suction and irrigation (Suction Irrigator, Vital Concepts, Grand Rapids, MI) and retraction to expose the operative field.

Statistical Analysis

Patient demographics, surgical indications, operative outcomes, and complications were described across the 3 BMI groups (nonobese, obese, and morbidly obese). First, the distributions of continuous variables (patient and operative characteristics) were assessed for normality using the Shapiro-Wilk test. As these variables were found to be non-normally distributed (all Shapiro-Wilk test P-values <0.05), patient and operative characteristics were reported as medians and ranges. Their distributions were then compared across BMI groups using the nonparametric Kruskal-Wallis test. Distributions of perioperative (preoperative and postoperative) diagnoses and complications were compared across BMI groups using the χ2 test or Fisher's exact test where appropriate. P-values <0.05 were considered statistically significant. All statistical analyses were performed using SAS 9.2 (SAS Institute, Inc., Cary, NC). Post power calculations were performed using nQuery Advisor (Statistical Solutions Ltd, Cork, Ireland). For the primary outcome, operative time, a total of 4322 women would be needed to detect the differences across BMI groups with 80% power.

RESULTS

During the study period, 442 women underwent RALH and met inclusion criteria. Of these patients, 257 (58%) were obese with a BMI of ≥30 kg/m2 and 101 (23%) were morbidly obese with a BMI ≥40 kg/m2. Overall, the median BMI was 31.7 kg/m2 (range, 16.5 to 63). The median BMI for the nonobese group was 25.1 kg/m2 (range, 16.5 to 29.9). For the obese group, it was 34.3 kg/m2 (range, 30 to 39.9), and the value for the morbidly obese group was 44.3 kg/m2 (range, 40 to 63). The median age for all patients was 52 y (range, 28 to 89). There were no significant differences among BMI groups with respect to age or height (. Patient Characteristics by Body Mass Index Kruskal-Wallis test P-value for comparison of patient characteristics across BMI categories. P values <.05 are considered statistically significant. Preoperative and postoperative diagnoses are shown in . There was a significant difference among BMI groups in the proportion of patients with endometrial hyperplasia (P = .001) and endometrial cancer (P = .002). As expected, the proportion of patients with endometrial hyperplasia and endometrial cancer was higher in the obese and morbidly obese BMI groups. There was also a difference noted in the number of patients with cervical cancer among the BMI groups (P < .0001), with the nonobese group having a higher proportion of patients with cervical cancer. Although there is no clear explanation for this difference among the groups, the high prevalence of cervical cancer in our population should be noted. Perioperative Diagnoses by Body Mass Index Chi-square test P-value for comparison of diagnoses across BMI categories. P-values <.05 are considered statistically significant. Fisher's exact test P-value. Overall, the median estimated blood loss was 100 mL (range, 10 to 800), the operative time was 135 min (range, 40 to 436), and the length of stay was 1 d (range, 0 to 22). Operative characteristics by BMI group are shown in . There were no statistically significant differences in estimated blood loss, operative time, or length of stay across BMI groups. Although there was a difference noted across BMI groups in the proportion of patients with a postoperative diagnosis of uterine myomata (P = .03), there was no difference in median uterine weight noted. Over 15% of patients in our cohort were treated for uterine myomata. Twenty-one (4.8%) patients had a uterine weight between 500g and 1000g, and 18 (4.1%) had a uterine weight over 1000g. When possible, our preferred approach for morcellation was vaginal. Operative Characteristics By Body Mass Index Kruskal-Wallis test P-value for comparison of operative characteristics across BMI categories. P-values <.05 are considered statistically significant. Operative times were only available for surgeries occurring during 01/2009 to 10/2010. In all, 53 (11.9%) surgical complications occurred among study patients, including 18 (4.1%) major and 35 (7.9%) minor complications. Surgical complications by BMI group are shown in . Urinary complications were most common in this study group with an occurrence of 11 (2.5%). Four (0.9%) were injuries to the bladder that were recognized and repaired intraoperatively, and 7 (1.6%) were ureteral injuries that required reoperation (3 patients were treated with cystoscopic ureteral stenting, and 4 required ureteral reimplantation laparotomy). All Complications by Body Mass Index Chi-square test P-value for comparison of minor, major and any complications across BMI categories. P-values <.05 are considered statistically significant. Major complications included those requiring readmission or reoperation. A total of 6 (1.4%) bowel injuries occurred in this study population. Four (0.9%) of these injuries were recognized and repaired intraoperatively, 3 were secondary to Veress needle or trocar insertion, and 1 occurred during extensive adhesiolysis. Two (0.5%) of the bowel injuries were unrecognized intraoperatively and required reoperation laparotomy with bowel resection. Other complications occurred infrequently in this study population (<1.2%).

DISCUSSION

In this study of women undergoing RALH for both benign and malignant indications, perioperative outcomes were similar across BMI groups. Our findings reiterate the safety of RALH for the obese and morbidly obese patients. In a study by Heinberg et al.[7] obese patients undergoing total laparoscopic hysterectomy were found to have a 4-fold increased risk for conversion to laparotomy, longer operative times, and greater risk for estimated blood loss >500 mL than the nonobese patients. Similarly, Eltabbakh et al.[3] found a statistically significant increase in the rate of conversion to laparotomy in the obese compared to the nonobese patient (14.9% 5.6%). Our study did not show differences in laparotomy conversion rates or blood loss among nonobese, obese, and morbidly obese patients. The laparotomy conversion rate for our study was 0.7%, with one conversion in each BMI group. These results are comparable to those in several published studies addressing laparoscopic and/or robotic hysterectomy for the obese patient, which reported laparotomy conversion rates ranging from 1.5% to 3.7%.[4,7,10] Our experience has been that computer-enhanced laparoscopy allows for better precision and finer dissection, which decreases the risk of hemorrhage and conversion to laparotomy. Several studies have also shown increased operative times among obese patients undergoing laparoscopic hysterectomy.[7,9,11-12] Our study did not show longer operative times for the obese or morbidly obese patients compared to the nonobese patients. In our study, median operative times for the obese and morbidly obese groups were 135 min and 124 min, respectively. These operative times are comparable to those in several published studies pertaining to laparoscopic hysterectomy and obesity.[4,8-10,12] Our experience shows that with surgeon experience and proficiency, RALH can be completed in a reasonable timeframe with operative times comparable to those of conventional laparoscopy. There was also no difference in length of stay across BMI groups. Overall, the median length of stay was 1 d, which is comparable to most studies pertaining to laparoscopic hysterectomy in the United States. Of the patients, 334 (76%) of the 442 patients were discharged home on postoperative day 1 or sooner. The benefits of minimizing hospital stay in the obese and morbidly obese patient are noteworthy. Another potential risk factor for the obese and morbidly obese patient is complications associated with prolonged Trendelenburg position. In our experience with RALH in the obese patient, we did not have any cases with complications related to patient positioning. Our method is to place the patient in a steep Trendelenburg, mobilize the bowel in a cephalad direction, and then lessen the Trendelenburg to the minimum amount needed before docking. Another concern in the gynecologic community has been the rate of vaginal cuff dehiscence associated with robotic surgery, with recent reports showing cuff dehiscence rates ranging from 0.98% to 4.1%.[5,14] Only 0.2% of patients in our study experienced vaginal cuff dehiscence. Our technique entails closing the vagina in anterior to posterior direction after adequate bladder mobilization anteriorly, and suspending the posterior vagina to both uterosacral ligaments. Our experience, similar to many other institutions, has not shown vaginal cuff dehiscence to be an issue of significant concern with appropriate vaginal closure techniques. Although our study is the largest series of RALH addressing outcomes in obese and morbidly obese patients, we acknowledge that our study has several limitations. Our study was not powered to detect the small differences across BMI groups in the primary outcomes of interest. Our study would require over 4,300 patients to detect a difference in operative time between the BMI groups. Moreover, the observed numbers of complications were low, so we did not have adequate sample size to assess the distributions of complications across BMI groups. However, the primary goal of this study was to describe the characteristics and outcomes of our cohort, and secondly to observe for differences among the BMI groups. In addition, this retrospective study relied on data recorded in patient medical records so there is potential for misclassification; however, we do not have reason to believe that information was systematically collected or recorded differently for nonobese, obese, and morbidly obese patients. Despite these limitations, we believe our study offers clinically relevant information pertaining to the growing number of obese patients who will undergo minimally invasive surgery. The value of providing a minimally invasive technique in the obese and the morbidly obese patient cannot be overestimated. The ability to discharge these patients in the first 24 h of the postoperative period and their quick resumption to normal activities can prevent significant morbidity.

CONCLUSION

Overall, we found that nonobese, obese, and morbidly obese patients can undergo RALH for both benign and malignant indications with similar outcomes. With surgical team experience and proficiency, the operative time, laparotomy conversion rate, and complication rates do not have to increase with increased patient body mass index.
Table 1.

Patient Characteristics by Body Mass Index

BMI <30 (n=185) Median (Range)BMI 30–39.9 (n=156) Median (Range)BMI ≥40 (n=101) Median (Range)P-valueab
Age (years)51 (28–59)55 (32−81)54 (35–84)0.25
Height (cm)163 (135–178)161 (130–183)163 (150–183)0.12
Weight (kg)64 (44–137)89 (69–122)118 (59–179)<0.0001

Kruskal-Wallis test P-value for comparison of patient characteristics across BMI categories.

P values <.05 are considered statistically significant.

Table 2.

Perioperative Diagnoses by Body Mass Index

BMI <30 (n=185) n (%)BMI 30-39.9 (n=156) n (%)BMI ≥40 (n=101) n (%)P-valueab
Preoperative Diagnosis
    Endometrial cancer38 (20.5)49 (31.4)40 (39.6).002
    Symptomatic myomata34 (18.4)31 (19.9)9 (8.9).05
    Pelvic mass41 (22.2)21 (13.5)16 (15.8).1
    Abnormal bleeding20 (10.8)16 (10.3)16 (15.8).4
    Endometrial hyperplasia7 (3.8)22 (14.1)15 (14.9).001
    Pelvic pain12 (6.5)7 (4.5)3 (3.0).4
    Cervical cancer19 (10.3)1 (0.6)1 (1.0)<.0001c
    Genetic predisposition6 (3.2)4 (2.6)1 (1.0).6c
    Cervical dysplasia5 (2.7)5 (3.2)0 (0).2c
    Pelvic organ prolapse3 (1.6)0 (0)0 (0).3c
    Ovarian cancer0 (0)0 (0)0 (0)
Postoperative Diagnosis
    Endometrial cancer38 (20.5)50 (32.1)38 (37.6).004
    Uterine myomata38 (20.5)31 (19.9)9 (8.9).03
    No pathology noted24 (12.9)16 (10.3)13 (12.9).71
    Benign ovarian lesion28 (15.1)12 (7.7)10 (9.9).09
    Endometrial hyperplasia7 (3.8)23 (14.7)18 (17.8).0002
    Endometriosis16 (8.9)8 (5.1)6 (5.9).4
    Cervical cancer19 (10.3)2 (1.3)1 (1.0)<.0001c
    Adenomyosis5 (2.7)6 (3.9)5 (5.0).6c
    Cervical dysplasia5 (2.7)4 (2.6)0 (0).26c
    Ovarian cancer3 (1.6)4 (2.6)1 (1.0).7c
    Pelvic organ prolapse3 (1.6)0 (0)0 (0).3c
    Genetic predisposition0 (0)0 (0)0 (0)

Chi-square test P-value for comparison of diagnoses across BMI categories.

P-values <.05 are considered statistically significant.

Fisher's exact test P-value.

Table 3.

Operative Characteristics By Body Mass Index

BMI <30 (n=185) Median (Range)BMI 30–39.9 (n=156) Median (Range)BMI ≥40 (n=101) Median (Range)P-valuea
Operative timec (minutes)141 (54−420)135 (67−436)124 (40−365).54
Estimated blood loss (mL)100 (20−800)100 (10−800)100 (30−600).55
Length of stay (days)1 (0−9)1 (0−22)1 (1−15).34
Uterine weight (grams)157.5 (45−1900)151 (55−2675)156 (50−3543).73

Kruskal-Wallis test P-value for comparison of operative characteristics across BMI categories.

P-values <.05 are considered statistically significant.

Operative times were only available for surgeries occurring during 01/2009 to 10/2010.

Table 4.

All Complications by Body Mass Index

ComplicationsBMI <30 (n = 185) n (%)BMI 30–39.9 (n=156) n (%)BMI ≥40 (n=101) n (%)P-Valueab
Urinary7 (3.8)3 (1.9)1 (1.0)
Bowel injury0 (0)4 (2.6)2 (2.0)
Hemorrhage2 (1.1)1 (0.6)2 (2.0)
Transfusion1 (0.5)2 (1.3)2 (2.0)
Wound Infection1 (0.5)1 (0.6)2 (2.0)
Pelvic abscess2 (1.1)1 (0.6)1 (1.0)
Vaginal cuff cellulitis2 (1.1)0 (0)1 (1.0)
Bacteremia1 (0.5)1 (0.6)1 (1.0)
Pulmonary1 (0.5)1 (0.6)1 (1.0)
Fever2 (1.1)1 (0.6)0 (0)
Ileus1 (0.5)1 (0.6)0 (0)
Urinary tract infection1 (0.5)1 (0.6)0 (0)
Vaginal cuff dehiscence1 (0.5)0 (0)0 (0)
Vessel injury1 (0.5)0 (0)0 (0)
Minor Total16 (8.6)10 (6.4)9 (8.9).76
Major Totalc7 (3.8)7 (4.5)4 (4.0).95
Total23 (12.4)17 (10.9)13 (12.9).87

Chi-square test P-value for comparison of minor, major and any complications across BMI categories.

P-values <.05 are considered statistically significant.

Major complications included those requiring readmission or reoperation.

  15 in total

1.  Laparoscopy in morbidly obese patients.

Authors:  R Pasic; R L Levine; W M Wolf
Journal:  J Am Assoc Gynecol Laparosc       Date:  1999-08

2.  Laparoscopic surgery in obese women.

Authors:  G H Eltabbakh; M S Piver; R E Hempling; F O Recio
Journal:  Obstet Gynecol       Date:  1999-11       Impact factor: 7.661

3.  Laparoscopic hysterectomy in obese women: a clinical prospective study.

Authors:  Z Holub; A Jabor; L Kliment; D Fischlová; M Wágnerová
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2001-09       Impact factor: 2.435

4.  Total laparoscopic hysterectomy: body mass index and outcomes.

Authors:  Katherine A O'Hanlan; Lisbeth Lopez; Suzanne L Dibble; Anne-Caroline Garnier; Gloria Shining Huang; Mirjam Leuchtenberger
Journal:  Obstet Gynecol       Date:  2003-12       Impact factor: 7.661

5.  Incidence and characteristics of patients with vaginal cuff dehiscence after robotic procedures.

Authors:  Rosanne M Kho; Mohamed N Akl; Jeffrey L Cornella; Paul M Magtibay; Mary Ellen Wechter; Javier F Magrina
Journal:  Obstet Gynecol       Date:  2009-08       Impact factor: 7.661

6.  Vaginal cuff dehiscence after robotic total laparoscopic hysterectomy.

Authors:  Barbara L Robinson; John B Liao; Sarah F Adams; Thomas C Randall
Journal:  Obstet Gynecol       Date:  2009-08       Impact factor: 7.661

7.  Total laparoscopic hysterectomy in obese versus nonobese patients.

Authors:  Eric M Heinberg; Benjamin L Crawford; Sherry H Weitzen; David J Bonilla
Journal:  Obstet Gynecol       Date:  2004-04       Impact factor: 7.661

8.  Hysterectomy rates in the United States, 2003.

Authors:  Jennifer M Wu; Mary Ellen Wechter; Elizabeth J Geller; Thao V Nguyen; Anthony G Visco
Journal:  Obstet Gynecol       Date:  2007-11       Impact factor: 7.661

9.  Total laparoscopic hysterectomy for benign uterine pathologies: obesity does not increase the risk of complications.

Authors:  Nicolas Chopin; Jean Marie Malaret; Marie-Christine Lafay-Pillet; Adolphe Fotso; Hervé Foulot; Charles Chapron
Journal:  Hum Reprod       Date:  2009-10-03       Impact factor: 6.918

10.  Does route of hysterectomy affect outcome in obese and nonobese women?

Authors:  Paul R Brezina; Todd M Beste; Keith H Nelson
Journal:  JSLS       Date:  2009 Jul-Sep       Impact factor: 2.172

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  13 in total

Review 1.  Robotic general surgery: current practice, evidence, and perspective.

Authors:  M Jung; P Morel; L Buehler; N C Buchs; M E Hagen
Journal:  Langenbecks Arch Surg       Date:  2015-02-18       Impact factor: 3.445

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

Authors:  Christen L Walters Haygood; Janelle M Fauci; Mary Katherine Huddleston-Colburn; Warner K Huh; J Michael Straughn
Journal:  J Robot Surg       Date:  2014-03-04

3.  Robotic distal subtotal gastrectomy with D2 lymphadenectomy for gastric cancer patients with high body mass index: comparison with conventional laparoscopic distal subtotal gastrectomy with D2 lymphadenectomy.

Authors:  Juhan Lee; Yoo-Min Kim; Yanghee Woo; Kazutaka Obama; Sung Hoon Noh; Woo Jin Hyung
Journal:  Surg Endosc       Date:  2015-01-29       Impact factor: 4.584

4.  Perceptions, Relationship, and Management of Morbidly Obese Patients and the Role of Robotic Surgery.

Authors:  Henri Azaïs; Gaby Moawad; Catherine Uzan; Geoffroy Canlorbe; Jérémie Belghiti
Journal:  Obes Surg       Date:  2019-12       Impact factor: 4.129

5.  Body mass index, conversion rate and complications among patients undergoing robotic surgery for endometrial carcinoma.

Authors:  Mary J Cunningham; Esther Dorzin; Loan Nguyen; Elizabeth Anderson; W Douglas Bunn
Journal:  J Robot Surg       Date:  2015-11-04

Review 6.  The roles and limitations of robotic surgery for obese endometrial cancer patients: a common challenge in gynecologic oncology.

Authors:  Teuta Shemshedini; Tana S Pradhan; Tarah L Pua; Sean S Tedjarati
Journal:  J Robot Surg       Date:  2015-05-01

Review 7.  Hysterectomy in very obese and morbidly obese patients: a systematic review with cumulative analysis of comparative studies.

Authors:  Mathijs D Blikkendaal; Evelyn M Schepers; Erik W van Zwet; Andries R H Twijnstra; Frank Willem Jansen
Journal:  Arch Gynecol Obstet       Date:  2015-03-13       Impact factor: 2.344

8.  Robotic hysterectomy strategies in the morbidly obese patient.

Authors:  Oscar D Almeida
Journal:  JSLS       Date:  2013 Jul-Sep       Impact factor: 2.172

Review 9.  Robotics in Gynecology: Why is this Technology Worth Pursuing?

Authors:  Rodrigo Ayala-Yáñez; Emilio José Olaya-Guzmán; Javier Haghenbeck-Altamirano
Journal:  Clin Med Insights Reprod Health       Date:  2013-07-24

Review 10.  Robotic surgery in gynecology.

Authors:  Rooma Sinha; Madhumati Sanjay; B Rupa; Samita Kumari
Journal:  J Minim Access Surg       Date:  2015 Jan-Mar       Impact factor: 1.407

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