Automatic extraction of forward XXXX volume using dynamic PET/CT: a dual-tracer and dual-scanner validation in patients with heart valve disease.

@entity8493 @entity18808 @entity64 @entity21829
BACKGROUND: The aim of this study was to develop and validate an automated method for extracting forward @entity64 volume ( @entity21829 ) using indicator dilution theory directly from dynamic positron emission tomography (PET) studies for two different tracers and scanners. METHODS: 35 subjects underwent a dynamic @entity18808 PET scan on a Siemens Biograph TruePoint-64 PET/CT (scanner I). In addition, 10 subjects underwent both dynamic @entity8493 -water PET and @entity18808 PET scans on a GE Discovery-ST PET/CT (scanner II). The left ventricular (LV)-aortic time-activity curve (TAC) was extracted automatically from PET data using cluster analysis. The first-pass peak was isolated by automatic extrapolation of the downslope of the TAC. @entity21829 was calculated as the injected dose divided by the product of heart rate and the area under the curve of the first-pass peak. Gold standard @entity21829 was measured using phase-contrast cardiovascular magnetic resonance (CMR). RESULTS: FSVPET correlated highly with FSVCMR (r   =   0.87, slope   =   0.90 for scanner I, r   =   0.87, slope   =   1.65, and r   =   0.85, slope   =   1.69 for scanner II for @entity8493 -water and @entity18808 , respectively) although a systematic bias was observed for both scanners (p   <   0.001 for all). @entity21829 based on @entity18808 and @entity8493 -water correlated highly (r   =   0.99, slope   =   1.03) with no significant difference between @entity21829 estimates (p   =   0.14). CONCLUSIONS: @entity21829 can be obtained automatically using dynamic PET/CT and cluster analysis. Results are almost identical for @entity18808 and @entity8493 -water. A scanner-dependent bias was observed, and a scanner calibration factor is required for multi-scanner studies. Generalization of the method to other tracers and scanners requires further validation.
