Key result
Cardiac PET imaging of autonomic innervation is a valuable non-invasive methodology offering high spatial resolution and absolute quantification, though clinical implementation remains limited.
PET imaging of myocardial innervation is a valuable tool that currently lacks dedicated commercial software but can be analyzed using adjusted generic tools.
Cardiac PET innervation imaging remains investigational; leaves open needs for standardized quantification and clinical validation.
Cardiac positron emission tomography (PET) is mainly applied in myocardial perfusion and viability detection. Noninvasive imaging of myocardial innervation using PET is a valuable additional methodology in cardiac imaging. Novel methods and different PET ligands have been developed to measure presynaptic and postsynaptic function of the cardiac neuronal system. Obtained PET data can be analysed quantitatively or interpreted qualitatively. Thus far, PET is not a widely used clinical application in autonomic heart imaging; however, due to its technical advantages, the excellent properties of the imaging agents, and the availability of tools for quantification, it deserves a better position in the clinic. From a historical point of view, the focus of PET software packages for image analysis was mainly oncology and neurology driven. Actually, commercially available software for cardiac PET image analysis is still only available for the quantification of myocardial blood flow. Thus far, no commercial software package is available for the interpretation and quantification of PET innervation scans. However, image data quantification and analysis of kinetic data can be performed using adjusted generic tools. This paper gives an overview of different neuronal PET ligands, interpretation and quantification of acquired PET data.
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Noordzij et al. (2015) conducted a review in Autonomic myocardial dysfunction. Cardiac PET imaging of autonomic innervation was evaluated. Cardiac PET imaging of autonomic innervation is a valuable non-invasive methodology offering high spatial resolution and absolute quantification, though clinical implementation remains limited.
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