Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster display session

251P - A prognostic index model for predicting long-term recurrence of uterine leiomyoma after initial myomectomy in women aged 18-44 years

Date

23 Nov 2019

Session

Poster display session

Topics

Tumour Site

Endometrial Cancer

Presenters

Xiu Ming

Citation

Annals of Oncology (2019) 30 (suppl_9): ix77-ix90. 10.1093/annonc/mdz426

Authors

X. Ming1, N. Li2, D. Nie3, J.H. Gou1, L.Q. Xue1, Z.Y. Li1

Author affiliations

  • 1 Department Of Gynecology And Obstetrics, West China Second Hospital, Sichuan University, 610041 - Chengdu/CN
  • 2 Department Of Gynecology And Obstetrics, the First People’s Hospital of Zun Yi, 610041 - Chengdu/CN
  • 3 Department Of Gynecology And Obstetrics, the Affiliated Hospital of Southwest Medical University, 610041 - Chengdu/CN

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 251P

Background

Uterine leiomyoma (UL) is the most common female pelvic benign tumor with recurrence rates of 16.7%-52.8%. We aimed to propose a prognostic index (PI) model for predicting the long-term (>5 years) risk of UL recurrence.

Methods

Women aged 18–44 years who initially underwent myomectomy for UL at one of the three study hospitals between April 2012 and October 2013 were enrolled. The data collected included patients’ demographics, leiomyomas’ characteristics, relapses, subsequent contraceptive methods, and postoperative gravidity and parity. A PI model was proposed based on the β-coefficients in the results of multivariate Cox regression analysis in prediction model group. The differences among the PI-based risk groups were tested by Kaplan–Meier analysis (using paired log-rank test) and univariate Cox regression analysis (using the Forward: LR) in prediction model, internal validation and external validation group.

Results

There were 725 patients included in this study. PI formula =1.5(if 3-5 leiomyomas)+2(if > 5 leiomyomas)+1(if residue)+1(if not submucosal)+1(if combined endometriosis). The PI value (0-5) was divided into low-risk group, intermediate-risk group, and high-risk group by cut-off values 1.25 and 3.75. In the prediction model group, the high-risk group had a significantly 4.55 times greater recurrence risk of UL than that in the low-risk group [cumulative recurrence rate (CR): 82.1% vs 29.5%, HR = 4.55, 95% CI; 2.821-7.339]; the intermediate-risk group had a significantly 2.81 times greater recurrence risk of UL than that in the low-risk group (CR: 62.3% vs 29.5%, HR = 2.81, 95% CI; 2.035-3.878). The differences between any two risk groups were also statistically significant (P < 0.05) in both internal and external validation groups.

Conclusions

The PI model was proved to be effective in distinguishing low-risk, intermediate-risk, and high-risk groups for long-term recurrence of UL after initial myomectomy in women aged 18-44 years, allowing it to be an objective tool aid in clinical decision making. In the future, prospective researches should be carried out to confirm the predictive ability of this PI model, and its practical value in clinical decision making.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Zheng Yu Li.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.