Estimation of myocardial blood flow for longitudinal studies with 13N-labeled ammonia and positron emission tomography

DeGrado, Timothy R.; Hanson, Michael; Turkington, T.G.; DeLong, David M.; Brezinski, Damian A.; Vallée, Jean‐Paul; Hedlund, L W; ZHANG, J; Cobb, Frederick R.; Sullivan, Mike

doi:10.1016/s1071-3581(96)90059-8

Cited by 105 publications

(87 citation statements)

References 17 publications

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“…Beginning with intravenous 13 N-ammonia application, serial transaxial emission images were recorded (12 images per frame of 10 s each, 3 frames of 20 s each, and 6 frames of 30 s each) with PET/CT, and time-activity curves from the first 12 dynamic frames (12 for 10 s each) in conjunction with a twocompartment tracer kinetic model 17 were used to calculate regional and global MBF in mL/g/min. On the polar map of the last 720-s image set, regions of interest (ROIs) were assigned to the territories of the three coronary arteries using the 17-segment model.…”

Section: Pet Flow Studiesmentioning

confidence: 99%

Structural epicardial disease and microvascular function are determinants of an abnormal longitudinal myocardial blood flow difference in cardiovascular risk individuals as determined with PET/CT

Valenta

Quercioli

Vincenti

et al. 2010

Journal of Nuclear Cardiology

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Background. The aim of this study was to determine whether epicardial structural disease may affect the manifestation of a longitudinal decrease in myocardial blood flow (MBF) or MBF difference during hyperemia in cardiovascular risk individuals, and its dependency on the flow increase.Methods and Results. In 54 cardiovascular risk individuals (at risk) and in 26 healthy controls, MBF was measured with 13 N-ammonia and PET/CT in mL/g/min at rest and during dipyridamole stimulation. Computed tomography coronary angiography (CTA) was performed using a 64-slice CT of a PET/CT system. Absolute MBFs during dipyridamole stimulation were mildly lower in the mid-distal than in the mid-LV myocardium in controls (2.20 ± .51 vs 2.29 ± .51, P < .0001), while it was more pronounced in at risk with normal and abnormal CTA (1.56 ± .42 vs 1.91 ± .46 and 1.18 ± .34 vs 1.51 ± .40 mL/g/min, respectively, P < .0001), resulting in a longitudinal MBF difference that was highest in at risk with normal CTA, intermediate in at risk abnormal CTA, and lowest in controls (.35 ± .16 and .22 ± .09 vs .09 ± .04 mL/g/min, respectively, P < .0001). On multivariate analysis, log-CCS and mid-LV hyperemic MBF increase, indicative of microvascular function, were independent predictors of the observed longitudinal MBF difference (P £ .004 by ANOVA).Conclusions. Epicardial structural disease and microvascular function are important determinants of an abnormal longitudinal MBF difference as determined with PET/CT. (J Nucl Cardiol 2010;17:1023-33.)

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Section: Pet Flow Studiesmentioning

confidence: 99%

Structural epicardial disease and microvascular function are determinants of an abnormal longitudinal myocardial blood flow difference in cardiovascular risk individuals as determined with PET/CT

Valenta

Quercioli

Vincenti

et al. 2010

Journal of Nuclear Cardiology

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“…Kinetic parameters (K 1 [ml/min/g] and k 2 [min −1 ]) and spillover from LV into MYO (vLV) were computed using a 1-compartment model [23] implemented in PMOD's kinetic analysis module. All the kinetic parameters are shown as a pair consisting of a value and its standard error.…”

Section: Discussionmentioning

confidence: 99%

Automatic TAC extraction from dynamic cardiac PET imaging using iterative correlation from a population template

Mateos-Pérez

Desco

Dae

et al. 2013

Computer Methods and Programs in Biomedicine

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“…ROIs were drawn in each segment and in the left (for input function) and right (for septal spillover correction) ventricular blood pools on the 900-s frames. The MBF was estimated by model fitting of the myocardial time-activity curves (25). Corrections for partial volume and spillover were performed with a method developed (3) and validated (26) by Hutchins et al In brief, an ROI is chosen to contain only myocardial tissue and blood; thus, the relationship between the measured PET counts in a region (C PET ) and the true counts in the myocardium (C m ) and arterial blood (C a ) is modeled as follows: C PET (t) 5 F a C a (t) 1 (1 -F a )C m (t), where t is time.…”

Section: Discussionmentioning

confidence: 99%

4.51

Schepis

Gaemperli

Treyer

et al. 2007

Journal of Nuclear Cardiology

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The aim of this study was to compare 2-dimensional (2D) and 3-dimensional (3D) dynamic PET for the absolute quantification of myocardial blood flow (MBF) with 13 N-ammonia ( 13 N-NH 3 ). Methods: 2D and 3D MBF measurements were collected from 21 patients undergoing cardiac evaluation at rest (n 5 14) and during standard adenosine stress (n 5 7). A lutetium yttrium oxyorthosilicate-based PET/CT system with retractable septa, enabling the sequential acquisition of 2D and 3D images within the same patient and study, was used. All 2D studies were performed by injecting 700-900 MBq of 13 N-NH 3 . For 14 patients, 3D studies were performed with the same injected 13 N-NH 3 dose as that used in 2D studies. For the remaining 7 patients, 3D images were acquired with a lower dose of 13 N-NH 3 , that is, 500 MBq. 2D images reconstructed by use of filtered backprojection (FBP) provided the reference standard for MBF measurements. 3D images were reconstructed by use of Fourier rebinning (FORE) with FBP (FORE-FBP), FORE with orderedsubsets expectation maximization (FORE-OSEM), and a reprojection algorithm (RP). Results: Global MBF measurements derived from 3D PET with FORE-FBP (r 5 0.97), FORE-OSEM (r 5 0.97), and RP (r 5 0.97) were well correlated with those derived from 2D FBP (all Ps , 0.0001). The mean 6 SD differences in global MBF measurements between 3D FORE-FBP and 2D FBP and between 3D FORE-OSEM and 2D FBP were 0.01 6 0.14 and 0.01 6 0.15 mL/min/g, respectively. The mean 6 SD difference in global MBF measurements between 3D RP and 2D FBP was 0.00 6 0.16 mL/min/g. The best correlation between 2D PET and 3D PET performed with the lower injected activity was found for the 3D FORE-FBP reconstruction algorithm (r 5 0.95, P , 0.001). Conclusion: For this scanner type, quantitative measurements of MBF with 3D PET and 13 N-NH 3 were in excellent agreement with those obtained with the 2D technique, even when a lower activity was injected. The assessment of quantitative regional myocardial blood flow (MBF) and coronary flow reserve with 13 Nammonia ( 13 N-NH 3 ) has been well established for 2-dimensional (2D) PET (1-4). Recently, there has been growing interest in the use of PET and PET/CT scanners that operate only in the 3-dimensional (3D) mode (5). The main advantage of the 3D mode (with septa retracted) of data acquisition is that its sensitivity is higher than that of the conventional 2D mode (septa extended) (6,7). The increased counting rate in the 3D acquisition mode, however, comes at the cost of increased scatter, number of random events, and dead time compared with those observed in the 2D mode (8). Although the use of 3D PET has demonstrated significant advantages over the use of 2D PET for brain imaging (9-11), the relative benefits of 3D PET for whole-body oncology (12) and cardiac applications are less clear. Previous experimental animal and clinical comparisons of 2D and 3D PET performance for myocardial perfusion imaging with 13 N-NH 3 , 15 O-H 2 O, and 82 Rb showed either a disadvantage for 3D PET (13) or ima...

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Estimation of myocardial blood flow for longitudinal studies with 13N-labeled ammonia and positron emission tomography

Cited by 105 publications

References 17 publications

Structural epicardial disease and microvascular function are determinants of an abnormal longitudinal myocardial blood flow difference in cardiovascular risk individuals as determined with PET/CT

Structural epicardial disease and microvascular function are determinants of an abnormal longitudinal myocardial blood flow difference in cardiovascular risk individuals as determined with PET/CT

Automatic TAC extraction from dynamic cardiac PET imaging using iterative correlation from a population template

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