Exploring the Utility of Radiomic Feature Extraction to Improve the Diagnostic Accuracy of Cardiac Sarcoidosis Using FDG PET

Exploring the Utility of Radiomic Feature Extraction to Improve the Diagnostic Accuracy of Cardiac Sarcoidosis Using FDG PET

BackgroundThis study aimed to explore the radiomic features from PET images to detect active cardiac sarcoidosis (CS).MethodsForty sarcoid patients and twenty-nine controls were scanned using FDG PET-CMR. Five feature classes were compared between the groups. From the PET images alone, two different...

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Bibliographic Details
Main Authors: Nouf A. Mushari, Georgios Soultanidis, Lisa Duff, Maria G. Trivieri, Zahi A. Fayad, Philip Robson, Charalampos Tsoumpas
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Medicine
Subjects:
cardiac sarcoidosis
PET-MRI
imaging
radiomics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.840261/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.840261/full

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