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Can FDG-PET Imaging Identify Cardiac Sarcoidosis Disease Phenotypes?

  • 11-07-2024
  • Sarcoidosis
  • Nuclear Cardiology (V Dilsizian, Section Editor)
Published in:

Abstract

Purpose of Review

Despite the scarcity of data, most guidelines have advocated for the treatment of cardiac sarcoidosis with corticosteroids. However, there is heterogeneity in disease presentation and response to treatment, which can make treatment challenging. The ability to identify disease phenotypes to allow for tailored therapy is therefore highly desirable. This review will seek to outline the disease phenotypes of cardiac sarcoidosis and the role that FDG-PET imaging can play in identifying these phenotypes to optimize disease diagnosis and treatment management.

Recent Findings

FDG PET can identify cardiac sarcoidosis and is being increasingly used to monitor therapeutic response to immunosuppressive therapy, to follow treatment response after discontinuation of corticosteroid therapy, and to evaluate for disease relapse. Modern quantitative techniques using FDG PET imaging may allow for even better phenotypic disease characterization and the ability to track the response to immunosuppression more accurately.

Summary

FDG PET currently plays an important role in cardiac sarcoidosis diagnosis. However, it also affords us the opportunity to offer insights into cardiac sarcoidosis disease phenotypes to better understand the underlying disease process and in the future may allows us to tailor therapies accordingly.
Title
Can FDG-PET Imaging Identify Cardiac Sarcoidosis Disease Phenotypes?
Authors
Kevin Emery Boczar
Yooyhun Park
Christiane Wiefels
Publication date
11-07-2024
Publisher
Springer US
Published in
Current Cardiology Reports / Issue 9/2024
Print ISSN: 1523-3782
Electronic ISSN: 1534-3170
DOI
https://doi.org/10.1007/s11886-024-02086-7
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Independent Medical Education Grant:
  • Bayer HealthCare Pharmaceuticals Inc.
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Image Credits
Abstract graphic of layered, concentric circular shapes in bright green, pink, blue, and purple on a dark blue background. The rings and segments form a complex radial pattern without text/© Springer Health+ IME