A CT-based radiomics nomogram for the differentiation of pulmonary cystic echinococcosis from pulmonary abscess.

ABSTRACT: The purpose of this study was to establish a clinical prediction model for the differential diagnosis of pulmonary cystic echinococcosis (CE) and pulmonary abscess according to computed tomography (CT)-based radiomics signatures and clinical indicators. This is a retrospective single-centre study. A total of 117 patients, including 53 with pulmonary CE and 64 with pulmonary abscess, were included in our study and were randomly divided into a training set (n = 95) and validation set (n = 22). Radiomics features were extracted from CT images, a radiomics signature was constructed, and clinical indicators were evaluated to establish a clinical prediction model. Finally, a model combining imaging radiomics features and clinical indicators was constructed. The performance of the nomogram, radio

SUBMITTER: Li Y 

PROVIDER: S-EPMC9525946 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature