Diagnostic value of a CT-based radiomics nomogram for discrimination of benign and early stage malignant ovarian tumors.

ABSTRACT:

Background

This study aimed to identify the diagnostic value of models constructed using computed tomography-based radiomics features for discrimination of benign and early stage malignant ovarian tumors.

Methods

The imaging and clinicopathological data of 197 cases of benign and early stage malignant ovarian tumors (FIGO stage I/II), were retrospectively analyzed. The patients were randomly assigned into training data set and validation data set. Radiomics features were extracted from images of plain computed tomography scan and contrast-enhanced computed tomography scan, were then screened in the training data set, and a radiomics model was constructed. Multivariate logistic regression analysis was used to construct a radiomic nomogram, containing the traditional diagnosti

SUBMITTER: Chen J 

PROVIDER: S-EPMC10729460 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature