Jørgen Frøkiær

Extraction of left ventricular myocardial mass from dynamic 11C-acetate PET

Research output: Contribution to conferencePosterResearchpeer-review

Background: Dynamic 11C-acetate PET is used to quantify oxygen metabolism, which is used to calculate left ventricular (LV) myocardial efficiency, an early marker of heart failure. This requires estimation of LV myocardial mass and is typically derived from a separate cardiovascular magnetic resonance (CMR) scan. The aim of this study was to explore the feasibility of estimating myocardial mass directly from a dynamic 11C-acetate PET scan.

Methods: 21 subjects underwent a 27-min 11C-acetate PET scan on a Siemens Biograph TruePoint 64 PET/CT scanner. In addition, 10 subjects underwent a dynamic 11C-acetate 27-min PET scan on a GE Discovery ST PET/CT scanner. Parametric images of uptake rate K1 and both arterial (VA) and venous (VV) spillover fractions were generated using a basis function implementation of the standard single tissue compartment model using non-gated dynamic data. The LV wall was defined automatically using obtained parametric images and myocardial mass was derived from the volumes of the obtained myocardial segments. LV myocardial mass derived from CMR was used as gold standard reference.

Results: A good agreement between LV mass derived using PET and CMR was found for both groups (Intraclass correlation coefficient [ICC]=0.95 and ICC=0.89, respectively). No significant differences were found between LV mass based on PET and CMR for both groups (p=0.69 and p=0.53, respectively).

Conclusion: LV myocardial mass can be obtained automatically from a single non-gated dynamic 11C-acetate scan. This greatly simplifies both the scanning protocol and data analysis required for calculation of LV myocardial external efficiency.
Original languageEnglish
Publication year1 May 2015
Publication statusPublished - 1 May 2015
EventInternational Conference of Nuclear Cardiology and Cardiac CT - Madrid, Spain
Duration: 3 May 20155 May 2015


ConferenceInternational Conference of Nuclear Cardiology and Cardiac CT

See relations at Aarhus University Citationformats

ID: 86697800