An assessment of PET and CMR radiomic features for the detection of cardiac sarcoidosis.

ABSTRACT:

Background

Visual interpretation of PET and CMR may fail to identify cardiac sarcoidosis (CS) with high specificity. This study aimed to evaluate the role of [¹⁸F]FDG PET and late gadolinium enhancement (LGE)-CMR radiomic features in differentiating CS from another cause of myocardial inflammation, in this case patients with cardiac-related clinical symptoms following COVID-19.

Methods

[¹⁸F]FDG PET and LGE-CMR were treated separately in this work. There were 35 post-COVID-19 (PC) and 40 CS datasets. Regions of interest were delineated manually around the entire left ventricle for the PET and LGE-CMR datasets. Radiomic features were then extracted. The ability of individual features to correctly identify image data as CS or PC was tested to predict the c

SUBMITTER: Mushari NA 

PROVIDER: S-EPMC11460291 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature