Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign.

ABSTRACT:

Objectives

To evaluate the discriminatory capability of spectral CT-based radiomics to distinguish benign from malignant solitary pulmonary solid nodules (SPSNs).

Materials and methods

A retrospective study was performed including 242 patients with SPSNs who underwent contrast-enhanced dual-layer Spectral Detector CT (SDCT) examination within one month before surgery in our hospital, which were randomly divided into training and testing datasets with a ratio of 7:3. Regions of interest (ROIs) based on 40-65 keV images of arterial phase (AP), venous phases (VP), and 120kVp of SDCT were delineated, and radiomics features were extracted. Then the optimal radiomics-based score in identifying SPSNs was calculated and selected for building radiomics-based model. The conventional m

SUBMITTER: Xu H 

PROVIDER: S-EPMC9878920 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature