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Erschienen in: Journal of Nuclear Cardiology 1/2020

01.02.2020 | Original Article

Cardiac amyloidosis imaging with amyloid positron emission tomography: A systematic review and meta-analysis

verfasst von: Yong Joong Kim, MD, Sejin Ha, MD, Yong-il Kim, MD, PhD

Erschienen in: Journal of Nuclear Cardiology | Ausgabe 1/2020

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Abstract

Background

Recent progress in amyloid positron emission tomography (PET) has enabled the targeted imaging of cardiac amyloidosis with accuracy. We performed a systematic review and meta-analysis on the diagnostic performance of cardiac amyloidosis using amyloid PET.

Methods

A systematic search was performed using key words: cardiac amyloidosis, amyloid, and PET. We estimated the pooled sensitivity, specificity, positive and negative likelihood ratio (LR), and diagnostic odds ratio (DOR). Furthermore, the semiquantitative parameters of PET were evaluated to diagnose cardiac amyloidosis and discern its type [systemic light chain amyloidosis (AL) vs transthyretin amyloidosis (ATTR)] using the pooled standardized mean difference (SMD).

Results

In total, six eligible studies with a total of 98 subjects were included in this meta-analysis. The pooled sensitivity was 0.95, the specificity was 0.98, positive LR was 10.130, negative LR was 0.1, and DOR was 148.83. The semiquantitative parameters of amyloid PET showed significantly higher values for cardiac amyloidosis patients than those for controls (pooled SMD = 1.42; P < .001), and in AL than ATTR (pooled SMD = 0.96; P < .001).

Conclusion

Amyloid PET imaging can be a useful method for diagnosing cardiac amyloidosis. The semiquantitative parameters of amyloid PET can help diagnose cardiac amyloidosis and discern its type.
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Metadaten
Titel
Cardiac amyloidosis imaging with amyloid positron emission tomography: A systematic review and meta-analysis
verfasst von
Yong Joong Kim, MD
Sejin Ha, MD
Yong-il Kim, MD, PhD
Publikationsdatum
01.02.2020
Verlag
Springer International Publishing
Erschienen in
Journal of Nuclear Cardiology / Ausgabe 1/2020
Print ISSN: 1071-3581
Elektronische ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-018-1365-x

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