Differentiating between benign and malignant breast lesions using dual-energy CT-based model: development and validation.

ABSTRACT:

Objectives

To develop and validate a dual-energy CT (DECT)-based model for noninvasively differentiating between benign and malignant breast lesions detected on DECT.

Materials and methods

This study prospectively enrolled patients with suspected breast cancer who underwent dual-phase contrast-enhanced DECT from July 2022 to July 2023. Breast lesions were randomly divided into the training and test cohorts at a ratio of 7:3. Clinical characteristics, DECT-based morphological features, and DECT quantitative parameters were collected. Univariate analyses and multivariate logistic regression were performed to determine independent predictors of benign and malignant breast lesions. An individualized model was constructed. Receiver operating characteristic (ROC) curve analysis wa

SUBMITTER: Xia H 

PROVIDER: S-EPMC11233492 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature