Ontology highlight
ABSTRACT: Background
Ovarian cancer has a high mortality rate. Accurate identification of risk factors for mortality is crucial to improve treatment strategies. Regretfully, prognostication tools are limited. In recent years, quantitative parameters of contrast enhanced ultrasound have shown economic, reproducible, and highly accurate advantages in predicting the prognosis of ovarian cancer patients. The purpose of this study was to develop a nomogram prediction model for the oncological outcome of patients with ovarian cancer based on quantitative parameters of contrast-enhanced ultrasound.Methods
Data from 357 patients with ovarian cancer admitted to The Fourth People's Hospital of Zhenjiang from January 2018 to December 2019 were retrospectively collected and constructed the train
SUBMITTER: Nie Z
PROVIDER: S-EPMC12552551 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature