Development of a Prognostic Nomogram in Epithelial Ovarian Cancer Based on KELIM: A Retrospective Study at TuDu Hospital, Vietnam
<b>Background/Objectives:</b> Epithelial ovarian cancer (EOC) constitutes the predominant form of ovarian malignancies. The primary goal of this study was to determine predictors of patient survival and construct a nomogram for survival prediction in individuals diagnosed with epithelial ovarian cancer. <b>Methods:</b> A retrospective cohort analysis was performed, including 418 patients who received treatment for epithelial ovarian cancer at Tu Du Hospital from January 2015 to December 2019. The median follow-up time was 77.1 months (range: 5.7-121.6 months). Survival analyses were conducted using the log-rank test and Cox proportional hazard regression analysis. A nomogram was developed, incorporating KELIM and other statistically significant variables. <b>Results:</b> The median follow-up time was 77.1 months. The observed cumulative mortality rates were 1.4% (95% confidence interval [CI]: 0.7-3.2), 10.4% (95% CI: 7.8-13.8), and 16.5% (95% CI: 13.2-20.6) at 1, 3, and 5 years, respectively. Factors demonstrating a significant correlation with survival included KELIM < 1 (HR = 1.78 [95% CI: 1.16-2.72]), pre-treatment CA-125 levels ≥ 35 U/mL (HR = 2.47 [95% CI: 1.10-5.55]), FIGO stages III-IV (HR = 2.40 [95% CI: 1.36-4.21]), and the presence of residual tumor tissue following surgical intervention (HR = 3.14 [95% CI: 1.75-5.65]). <b>Conclusions:</b> Prognosis is significantly influenced by KELIM, pre-treatment CA-125, tumor stage, and residual tumor post-surgery. The nomogram developed here offers a tool to assist in personalized prognostic assessments of Vietnamese EOC patients.
Authors
- Hien Thi Nguyen (ORCID: https://orcid.org/0000-0002-3997-5943)
- Tuan M. Vo
- Le N. N. Phan
- Hoang T. Pham
Institutions
- University of Medicine and Pharmacy at Ho Chi Minh City (VN)
- HCMC Hospital of Dermato Venereology (VN)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-01-02
- DOI
- https://doi.org/10.3390/diagnostics16010151
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00