Ultrasound-based radiomics for predicting the five major histological subtypes of epithelial ovarian cancer.

ABSTRACT:

Background

Computational approaches have been proposed using radiomics in order to assess tumour heterogeneity, which is motivated by the concept that biomedical images may contain underlying pathophysiology information and has the potential to quantitatively measure the heterogeneity of intra- and intertumours. Ovarian cancer has the highest mortality among malignant tumours of female reproductive system and can be further divided into many subtypes with different management strategies and prognosis. The purpose of our study is to develop and validate ultrasound-based radiomics models to distinguish the five major histological subtypes of epithelial ovarian cancer.

Methods

From January 2018 to August 2022, 1209 eligible ovarian cancer patients were enrolled. There were two

SUBMITTER: Yang Y 

PROVIDER: S-EPMC12001453 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature