We have located links that may give you full text access.
Preoperative Factors That Predict the Need to Morcellate in Total Laparoscopic Hysterectomy.
Journal of Minimally Invasive Gynecology 2018 January
STUDY OBJECTIVE: To determine which preoperative factors best predict the need for uterine morcellation at the time of total laparoscopic hysterectomy (TLH) and to identify cut-offs that can help guide clinical decision-making.
DESIGN: Retrospective cohort (Canadian Task Force classification II).
SETTING: Tertiary care center.
PATIENTS: Women (n = 420) who underwent TLH between July 2012 and June 2015: 223 cases without and 197 cases with morcellation.
INTERVENTIONS: Laparoscopic hysterectomies with either laparoscopic power, vaginal, or open morcellation via mini-laparotomy were analyzed.
MEASUREMENTS AND MAIN RESULTS: Preoperative factors assessed included uterine volume, cross-sectional area, length, size of largest leiomyoma, and bimanual exam. Receiver operator curves (ROC) were used to establish cut-offs that maximized sensitivity and specificity for each factor. Bivariate and multivariate Poisson regression analyses were used to calculate relative risks associated with these objective cut-offs. ROC curves demonstrated maximized sensitivities and specificities with a cross-sectional area of 48.6 cm2 , largest leiomyoma dimension of 4.4 cm, bimanual exam of 11.5 weeks, and uterine volume of 262 mL. Multivariate Poisson regression analysis revealed that the strongest predictors of morcellation were cross-sectional area (adjusted relative risk, 2.94; 95% confidence interval, 1.20-7.19), largest leiomyoma diameter (adjusted relative risk, 2.06; 95% confidence interval, 1.24-3.41), and bimanual exam (adjusted relative risk, 1.88; 95% confidence interval, 1.05-3.37).
CONCLUSION: Uterine cross-sectional area, largest leiomyoma dimension, and uterine size on bimanual exam can all be used to predict the need to morcellate at the time of TLH.
DESIGN: Retrospective cohort (Canadian Task Force classification II).
SETTING: Tertiary care center.
PATIENTS: Women (n = 420) who underwent TLH between July 2012 and June 2015: 223 cases without and 197 cases with morcellation.
INTERVENTIONS: Laparoscopic hysterectomies with either laparoscopic power, vaginal, or open morcellation via mini-laparotomy were analyzed.
MEASUREMENTS AND MAIN RESULTS: Preoperative factors assessed included uterine volume, cross-sectional area, length, size of largest leiomyoma, and bimanual exam. Receiver operator curves (ROC) were used to establish cut-offs that maximized sensitivity and specificity for each factor. Bivariate and multivariate Poisson regression analyses were used to calculate relative risks associated with these objective cut-offs. ROC curves demonstrated maximized sensitivities and specificities with a cross-sectional area of 48.6 cm2 , largest leiomyoma dimension of 4.4 cm, bimanual exam of 11.5 weeks, and uterine volume of 262 mL. Multivariate Poisson regression analysis revealed that the strongest predictors of morcellation were cross-sectional area (adjusted relative risk, 2.94; 95% confidence interval, 1.20-7.19), largest leiomyoma diameter (adjusted relative risk, 2.06; 95% confidence interval, 1.24-3.41), and bimanual exam (adjusted relative risk, 1.88; 95% confidence interval, 1.05-3.37).
CONCLUSION: Uterine cross-sectional area, largest leiomyoma dimension, and uterine size on bimanual exam can all be used to predict the need to morcellate at the time of TLH.
Full text links
Related Resources
Trending Papers
Heart failure with preserved ejection fraction: diagnosis, risk assessment, and treatment.Clinical Research in Cardiology : Official Journal of the German Cardiac Society 2024 April 12
Proximal versus distal diuretics in congestive heart failure.Nephrology, Dialysis, Transplantation 2024 Februrary 30
Efficacy and safety of pharmacotherapy in chronic insomnia: A review of clinical guidelines and case reports.Mental Health Clinician 2023 October
World Health Organization and International Consensus Classification of eosinophilic disorders: 2024 update on diagnosis, risk stratification, and management.American Journal of Hematology 2024 March 30
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app