A new risk algorithm combining D-dimer and HE4 differentiates borderline tumor from patients with ovarian tumor.

ABSTRACT:

Background

Timely diagnosis of borderline ovarian tumors (BOTs) is crucial for preserving fertility and ovarian function. However, current markers for detecting BOTs lack effectiveness. This research aims to identify and validate the role of small molecular markers in diagnosing BOTs. Six small molecule markers-human epididymis protein 4 (HE4), carbohydrate antigen 125 (CA125), fibrinogen (FIB), D-dimer (DD), platelet (PLT), and homocysteine (HCY)-were identified as candidate markers.

Methods

Candidate markers were evaluated using the receiver operating characteristic (ROC) curve to assess their diagnostic efficacy for BOTs. Suitable markers were chosen through statistical methods to develop a risk prediction model. The model's diagnostic performance was assessed using param

SUBMITTER: Zhang M 

PROVIDER: S-EPMC11833360 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature