Trends of Bilateral Salpingectomy During Vaginal Hysterectomy With and Without Laparoscopic Assistance Performed for Benign Indications in the United States

STUDY OBJECTIVE

To estimate the recent temporal trends of concurrent bilateral salpingectomy (BS) during vaginal hysterectomy (total vaginal hysterectomy [TVH] and laparoscopic-assisted vaginal hysterectomy [LAVH]) in the United States.

DESIGN

A cross-sectional analysis was conducted using data from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample, including all female patients 18 years and older whose inpatient discharge record indicated a TVH or LAVH performed for benign indications between January 1, 1998, and December 31, 2011. Joinpoint regression was used to identify statistically significant changes in overall and subgroup temporal trends of TVH and LAVH as well as concomitant BS during the 14-year study period (Canadian Task Force Classification II).

SETTING

Not applicable.

PATIENTS

All patients who underwent TVH and LAVH from 1998 to 2011 registered in the Healthcare Cost and Utilization Project Nationwide Inpatient Sample database.

INTERVENTIONS

Not applicable.

MEASUREMENTS AND MAIN RESULTS

Regarding TVH, between 1998 and 2001, there was a steep negative trend with an annual percentage change of -5.2 (95% confidence interval [CI], -8.8 to -2.2). From 2001 to 2011, the negative trend was still observed but with a more gradual 2% annual decrease (95% CI, -2.4 to -1.3). Conversely, the rate of LAVH increased at a rate of 4.4% each year (95% CI, 3.7-5.0). From 1998 to 2004, the national rate of BS during TVH increased sharply with an annual increase of 42.8% (95% CI, 22.7-66.3). Beginning in 2004, the BS rate during TVH decreased and remained stable. During LAVH, the rate of concomitant BS increased an estimated 15% each year during the entire study period (95% CI, 11.9-17.8).

CONCLUSION

The proportion of annual LAVH with concomitant BS procedures performed across the nation is on the rise while TVH is declining with a stable rate of concomitant BS.

Automated tracking, segmentation and trajectory classification of pelvic organs on dynamic MRI

Pelvic organ prolapse is a major health problem in women where pelvic floor organs (bladder, uterus, small bowel, and rectum) fall from their normal position and bulge into the vagina. Dynamic Magnetic Resonance Imaging (DMRI) is presently used to analyze the organs' movements from rest to maximum strain providing complementary support for diagnosis. However, there is currently no automated or quantitative approach to measure the movement of the pelvic organs and their correlation with the severity of prolapse. In this paper, a two-stage method is presented to automatically track and segment pelvic organs on DMRI followed by a multiple-object trajectory classification method to improve the diagnosis of pelvic organ prolapse. Organs are first tracked using particle filters and K-means clustering with prior information. Then, they are segmented using the convex hull of the cluster of particles. Finally, the trajectories of the pelvic organs are modeled using a new Coupled Switched Hidden Markov Model (CSHMM) to classify the severity of pelvic organ prolapse. The tracking and segmentation results are validated using Dice Similarity Index (DSI) whereas the classification results are compared with two manual clinical measurements. Results demonstrate that the presented method is able to automatically track and segment pelvic organs with a DSI above 82% for 26 out of 46 cases and DSI above 75% for all 46 tested cases. The accuracy of the trajectory classification model is also better than current manual measurements.

Leucocyte depleting filters and cardiothoracic surgery

Leucocyte filtration technology is now beginning to be used in cardiothoracic surgery. The leucocyte depletion of banked homologous blood has been shown to reduce its immunosuppressive effects, along with a range of other benefits. Use of such a blood product appears to be an attractive option during cardiopulmonary bypass (CPB) as this procedure is recognized as causing immune disturbance and long-term immunosuppression.

White-cell removal filters also appear to have a novel application in the reduction of neutrophil-mediated damage associated with CPB procedures. A strong database from animal work has been recently supplemented by human data that shows clinical benefits from autologous white-cell removal by filtration.

Estimated levator ani subtended volume: a novel assay for predicting surgical failure after uterosacral ligament suspension

BACKGROUND

Levator ani muscle complex plays an important role in pelvic support and defects or laxity in this muscle complex contributes to pelvic organ prolapse and recurrence after surgical repair.

OBJECTIVE

The purpose of this study was to determine whether estimated levator ani subtended volume can predict surgical outcomes for laparoscopic bilateral uterosacral ligament suspension.

STUDY DESIGN

A retrospective cohort study was performed in patients who underwent laparoscopic uterosacral ligament suspension from 2010-2012. Only patients with a preoperative pelvic magnetic resonance image were included. Surgical failure was defined as a composite score that included the presence of anatomic bulge beyond the hymen with sensation of vaginal bulge or repeat treatment for prolapse via pessary or surgery by 1-year follow-up evaluation. Standard protocol pelvic magnetic resonance imaging measurements pubococcygeal line, H-line, and M-line were collected along with the calculation of the width of the levator ani hiatus. Estimated levator ani subtended volume was calculated for each subject. An optimal cutoff point was calculated and compared against categoric values of surgical success/failure. A Fisher exact test, an area under receiver operating characteristics curve, and logistic regression analysis were performed. A probability value of <.05 was considered statistically significant.

RESULTS

Ninety-three women underwent laparoscopic bilateral uterosacral ligament suspension during study period. Of these, 66 women had a standardized preoperative pelvic magnetic resonance image per institutional protocol. Thirteen patients (19.6%) met the criteria for surgical failure by 1 year. An optimal cutoff point of 38.5 was calculated by Liu's method for optimization. Among the patients with defined surgical failures, 84.6% (11/13) had an estimated levator ani subtended volume above cutoff point of 38.5. Among the patients with defined surgical success, 39.6% (21/53) had an estimated levator ani subtended volume above the cutoff point (84.6% vs 39.6%; P = .0048) with a significant odds ratio of 8.38 (95% confidence interval, 1.69-41.68; P = .009). An area under receiver operating characteristics curve of 0.725 (95% confidence interval, 0.603-0.847), sensitivity of 84.6% (95% confidence interval, 54.6%-98.1%), and specificity of 60.4% (95% confidence interval, 46%-73.5%) at 38.5 were predictors of surgical success/failure by 1 year. Logistic regression analysis demonstrated no significant confounders among age, body mass index, stage, or parity.

CONCLUSIONS

Estimated levator ani subtended volume may predict surgical failure for laparoscopic bilateral uterosacral ligament suspension. Patients with a calculated estimated levator ani subtended volume above 38.5 on a preoperative pelvic magnetic resonance imaging were associated with an increased risk for surgical failure by 1 year, regardless of age, body mass index, stage, or parity. Future investigation that will include repeatability, reliability analysis, and a prospective study is warranted.

Barbed Sutures in Minimally Invasive Gynecologic Surgery

The introduction of knotless barbed suture into the surgical market has decreased the challenges of laparoscopic suturing. Since its introduction, barbed suture has gained popularity in the field of minimally invasive gynecologic surgery and is now commonly used to close the vaginal cuff in total laparoscopic hysterectomy, to re-approximate the myometrium after laparoscopic myomectomy, and to shorten the procedure time during a laparoscopic sacrocolpopexy. Barbed sutures facilitate rapid and consistent wound closure, allowing for equal distribution of tissue tension across the suture line, and thereby providing a more secure wound closure. The most commonly encountered complication after the use of barbed sutures is postoperative bowel obstruction. Proposed methods to decrease the likelihood of this complication include ensuring that the ends of the barbed suture are either buried, over-sewn, or cut flush with the tissue.

Association between Fellowship Training, Surgical Volume, and Laparoscopic Suturing Techniques among Members of the American Association of Gynecologic Laparoscopists

Study Objective. To compare surgical volume and techniques including laparoscopic suturing among members of the American Association of Gynecologic Laparoscopists (AAGL) according to fellowship training status. Design. A web-based survey was designed using Qualtrics and sent to AAGL members. Results. Minimally invasive gynecologic surgery (FMIGS) trained surgeons were more likely to perform more than 8 major conventional laparoscopic cases per month (63% versus 38%, P < 0.001, OR [95% CI] = 2.78 [1.54-5.06]) and were more likely to perform laparoscopic suturing during these cases (32% versus 16%, P < 0.004, OR [95% CI] = 2.44 [1.25-4.71]). The non-fellowship trained (NFT) surgeons in private practice were less likely to perform over 8 conventional laparoscopic cases (34% versus 51%, P = 0.03, OR [95% CI] = 0.50 [0.25-0.99]) and laparoscopic suturing during these cases (13% versus 27%, P = 0.01, OR [95% CI] = 0.39 [0.17-0.92]) compared to NFT surgeons in academic practice. Conclusion. The surgical volume and utilization of laparoscopic suturing of FMIGS trained surgeons are significantly increased compared to NFT surgeons. Academic practice setting had a positive impact on surgical volume of NFT surgeons but not on FMIGS trained surgeons.

Does Laparoscopic Hysterectomy Increase the Risk of Vaginal Cuff Dehiscence? An Analysis of Outcomes from Multiple Academic Centers and a Review of the Literature

Vaginal cuff dehiscence represents a serious, but infrequent complication after hysterectomy, with a reported increased incidence following a laparoscopic approach. Various risk factors have been proposed including laparoscopically placed suture, surgical experience, use of electrosurgery, surgical indication, and obesity. Technical aspects of the procedure itself have also been questioned such as the variable use of monopolar electrosurgery during colpotomy and the suture type or number of layers chosen to reapproximate the vaginal cuff. Nothwithstanding the tendency for cuff dehiscence to occur following laparoscopic approach, there remains a paucity of high-quality data that supports or refutes this finding or clearly defines the mechanism(s) by which this event occurs allowing for the proposal of objective guidelines for reducing risk. Various techniques have been proposed to decrease the risk of vaginal cuff dehiscence during endoscopic hysterectomy, including use of monopolar current on cutting mode, achievement of cuff hemostasis with sutures rather than electrocoagulation, use of a two-layer cuff closure with polydioxanone suture, and use of bidirectional barbed suture for cuff closure. The authors experience at three university-based minimally invasive gynecologic surgery programs showed a low rate of vaginal cuff dehiscence in their own practices. Large randomized controlled trials are needed to truly determine whether there is a difference in vaginal cuff dehiscence between surgical modalities for hysterectomy as well as to determine the true risk factors.

National trends of adnexal surgeries at the time of hysterectomy for benign indication, United States, 1998-2011

OBJECTIVE

We sought to investigate the most recent national trends of bilateral salpingectomy (BS) and bilateral salpingo-oophorectomy (BSO) at the time of hysterectomy performed for benign indications.

STUDY DESIGN

We conducted a national cross-sectional analysis of all inpatient discharges for women aged ≥18 years who underwent a hysterectomy for benign indications from 1998 through 2011 using the largest publicly available all-payer inpatient database in the United States. We scanned International Classification of Diseases, Ninth Revision codes for an indication of specific bilateral adnexal surgeries, including BSO and BS. Joinpoint regression was used to characterize and estimate 14-year national trends in performing BSO and BS at the time of hysterectomy for benign indications, overall and in population subgroups.

RESULTS

During the study period, there were approximately 428,523 inpatient hysterectomy procedures performed annually for benign indications. Of these, >53% had no adnexal surgery performed during the same hospitalization, whereas 43.7% and 1.3% of those discharges had BSO and BS procedures, respectively. The rate of BSO was directly correlated with increasing age for patients <65 years. Conversely, we observed an inverse relationship between BS and patient age, with the BS rate among women aged <25 years twice that of women aged ≥45 years. From 1998 through 2001, there was a 2.2% increase in the rate of BSO per year (95% confidence interval, 0.4-4.0); however, this was followed by a consistent 3.6% (95% confidence interval, -4.0 to -3.3) annual decline in the BSO rate, from 49.7% in 2001 to 33.4% in 2011. National rates of BS among women undergoing hysterectomy for benign indications increased significantly throughout the study period, with an estimated 8% annual increase from 1998 through 2008, followed by a sharp 24% increase annually during the last 4 years of the study period. The BS rate nearly quadrupled in 14 years.

CONCLUSION

The type of adnexal surgery performed concomitantly with hysterectomy for benign indications has undergone a significant shift since 2001. Significantly more BS and less BSO procedures are being performed among gynecologic surgeons in the United States.

MRI-based segmentation of pubic bone for evaluation of pelvic organ prolapse

Pelvic organ prolapse (POP) is a major women's health problem. Its diagnosis through magnetic resonance imaging (MRI) has become popular due to current inaccuracies of clinical examination. The diagnosis of POP on MRI consists of identifying reference points on pelvic bone structures for measurement and evaluation. However, it is currently performed manually, making it a time-consuming and subjective procedure. We present a new segmentation approach for automating pelvic bone point identification on MRI. It consists of a multistage mechanism based on texture-based block classification, leak detection, and prior shape information. Texture-based block classification and clustering analysis using K-means algorithm are integrated to generate the initial bone segmentation and to identify leak areas. Prior shape information is incorporated to obtain the final bone segmentation. Then, the reference points are identified using morphological skeleton operation. Results demonstrate that the proposed method achieves higher bone segmentation accuracy compared to other segmentation methods. The proposed method can also automatically identify reference points faster and with more consistency compared with the manually identified point process by experts. This research aims to enable faster and consistent pelvic measurements on MRI to facilitate and improve the diagnosis of female POP.

Automated Localization of Multiple Pelvic Bone Structures on MRI

In this paper, we present a fully automated localization method for multiple pelvic bone structures on magnetic resonance images (MRI). Pelvic bone structures are at present identified manually on MRI to locate reference points for measurement and evaluation of pelvic organ prolapse (POP). Given that this is a time-consuming and subjective procedure, there is a need to localize pelvic bone structures automatically. However, bone structures are not easily differentiable from soft tissue on MRI as their pixel intensities tend to be very similar. In this paper, we present a model that combines support vector machines and nonlinear regression capturing global and local information to automatically identify the bounding boxes of bone structures on MRI. The model identifies the location of the pelvic bone structures by establishing the association between their relative locations and using local information such as texture features. Results show that the proposed method is able to locate the bone structures of interest accurately (dice similarity index >0.75) in 87-91% of the images. This research aims to enable accurate, consistent, and fully automated localization of bone structures on MRI to facilitate and improve the diagnosis of health conditions such as female POP.