Abstract:Mismatch between areas of reduced myocardial blood flow (MBF) and reduced myocardial innervation (defect areas) may be used to estimate the risk for ventricular arrhythmias. The presence of a mismatch zone can be derived using a combined protocol consisting of both an MBF scan and an 11 C-meta-hydroxyephedrine ( 11 C-HED) scan. The rate of influx from blood to myocardium (K 1 ) of 11 C-HED is proportional to MBF and can potentially be used as an index for defining MBF defects. The aim of this study was to asse… Show more
“…Considering that K 1 itself can be used as a marker of myocardial blood flow in this patient group (22), this suggests that both innervation parameters have a significant contribution of myocardial blood flow to their signal and this has to be considered. However, the strength of the correlation was significantly higher for retention index than for V T , advocating use of V T as a less flow-dependent marker of innervation.…”
11 C-meta-hydroxyephedrine ( 11 C-HED) kinetics in the myocardium can be quantified using a single-tissue-compartment model together with a metabolite-corrected arterial blood sampler input function (BSIF). The need for arterial blood sampling, however, limits clinical applicability. The purpose of this study was to investigate the feasibility of replacing arterial sampling with imaging-derived input function (IDIF) and venous blood samples. Methods: Twenty patients underwent 60-min dynamic 11 C-HED PET/CT scans with online arterial blood sampling. Thirteen of these patients also underwent venous blood sampling. Data were reconstructed using both 3-dimensional row-action maximum-likelihood algorithm (3DR) and a time-of-flight (TF) list-mode reconstruction algorithm. For each reconstruction, IDIF results were compared with BSIF results. In addition, IDIF results obtained with venous blood samples and with a transformed venous-to-arterial metabolite correction were compared with results obtained with arterial metabolite corrections. Results: Correlations between IDIF-and BSIF-derived K 1 and V T were high (r 2 . 50.89 for 3DR and TF). Slopes of the linear fits were significantly different from 1 for K 1 , for both 3DR (slope 5 0.94) and TF (slope 5 1.06). For V T , the slope of the linear fit was different from 1 for TF (slope 5 0.93) but not for 3DR (slope 5 0.98). Use of venous blood data introduced a large bias in V T (r 2 5 0.96, slope 5 0.84) and a small bias in K 1 (r 2 5 0.99, slope 5 0.98). Use of a second-order polynomial venous-to-arterial transformation was robust and greatly reduced bias in V T (r 2 5 0.97, slope 5 0.99) with no effect on K 1 . Conclusion: IDIF yielded precise results for both 3DR and TF. Venous blood samples can be used for absolute quantification of 11 C-HED studies, provided a venous-to-arterial transformation is applied. A venous-to-arterial transformation enables noninvasive, absolute quantification of 11 C-HED studies.
“…Considering that K 1 itself can be used as a marker of myocardial blood flow in this patient group (22), this suggests that both innervation parameters have a significant contribution of myocardial blood flow to their signal and this has to be considered. However, the strength of the correlation was significantly higher for retention index than for V T , advocating use of V T as a less flow-dependent marker of innervation.…”
11 C-meta-hydroxyephedrine ( 11 C-HED) kinetics in the myocardium can be quantified using a single-tissue-compartment model together with a metabolite-corrected arterial blood sampler input function (BSIF). The need for arterial blood sampling, however, limits clinical applicability. The purpose of this study was to investigate the feasibility of replacing arterial sampling with imaging-derived input function (IDIF) and venous blood samples. Methods: Twenty patients underwent 60-min dynamic 11 C-HED PET/CT scans with online arterial blood sampling. Thirteen of these patients also underwent venous blood sampling. Data were reconstructed using both 3-dimensional row-action maximum-likelihood algorithm (3DR) and a time-of-flight (TF) list-mode reconstruction algorithm. For each reconstruction, IDIF results were compared with BSIF results. In addition, IDIF results obtained with venous blood samples and with a transformed venous-to-arterial metabolite correction were compared with results obtained with arterial metabolite corrections. Results: Correlations between IDIF-and BSIF-derived K 1 and V T were high (r 2 . 50.89 for 3DR and TF). Slopes of the linear fits were significantly different from 1 for K 1 , for both 3DR (slope 5 0.94) and TF (slope 5 1.06). For V T , the slope of the linear fit was different from 1 for TF (slope 5 0.93) but not for 3DR (slope 5 0.98). Use of venous blood data introduced a large bias in V T (r 2 5 0.96, slope 5 0.84) and a small bias in K 1 (r 2 5 0.99, slope 5 0.98). Use of a second-order polynomial venous-to-arterial transformation was robust and greatly reduced bias in V T (r 2 5 0.97, slope 5 0.99) with no effect on K 1 . Conclusion: IDIF yielded precise results for both 3DR and TF. Venous blood samples can be used for absolute quantification of 11 C-HED studies, provided a venous-to-arterial transformation is applied. A venous-to-arterial transformation enables noninvasive, absolute quantification of 11 C-HED studies.
“…This advantage provides an inherent filtering step in the analysis, potentially resulting in higher reliability, accuracy, and precision of the estimates than is possible with electrocardiogramgated images. The cutoffs used for removal of blood regions from parametric images were based on previous studies (20). The twothirds cutoff used during the radial profile step of segmenting the LV wall, and the 3-cm maximum distance of LV tissue from the blood, were chosen empirically because these values showed the most consistent results and required minimal manual intervention in a pilot subset of 10 patients.…”
Section: Discussionmentioning
confidence: 99%
“…0.60, V A 1 V V . 0.75, or anatomic tissue fraction , 0.25 were set to 0 as described previously (20).…”
Dynamic cardiac PET is used to quantify molecular processes in vivo. However, measurements of left ventricular (LV) mass and volume require electrocardiogram-gated PET data. The aim of this study was to explore the feasibility of measuring LV geometry using nongated dynamic cardiac PET. Methods: Thirty-five patients with aortic-valve stenosis and 10 healthy controls underwent a 27-min 11 C-acetate PET/CT scan and cardiac MRI (CMR). The controls were scanned twice to assess repeatability. Parametric images of uptake rate K 1 and the blood pool were generated from nongated dynamic data. Using software-based structure recognition, the LV wall was automatically segmented from K 1 images to derive functional assessments of LV mass (m LV ) and wall thickness. Endsystolic and end-diastolic volumes were calculated using blood pool images and applied to obtain stroke volume and LV ejection fraction (LVEF). PET measurements were compared with CMR. Results: High, linear correlations were found for LV mass (r 5 0.95), end-systolic volume (r 5 0.93), and end-diastolic volume (r 5 0.90), and slightly lower correlations were found for stroke volume (r 5 0.74), LVEF (r 5 0.81), and thickness (r 5 0.78). Bland-Altman analyses showed significant differences for m LV and thickness only and an overestimation for LVEF at lower values. Intra-and interobserver correlations were greater than 0.95 for all PET measurements. PET repeatability accuracy in the controls was comparable to CMR. Conclusion: LV mass and volume are accurately and automatically generated from dynamic 11 C-acetate PET without electrocardiogram gating. This method can be incorporated in a standard routine without any additional workload and can, in theory, be extended to other PET tracers.Key Words: dynamic PET; stroke volume; myocardial mass; 11 C-acetate; ejection fraction; myocardial wall thickness PET has been used extensively for evaluation of molecular processes of the heart (5). In addition, electrocardiogram-gated PET can be used to assess LV function, mass, and volume using a variety of PET tracers (6-11). However, quantification of molecular processes via tracer kinetic analysis requires dynamic scans whereas functional assessments of LV mass (m LV ) and volume require electrocardiogram-gated PET images. The need for separate reconstructions to assess LV volume and to quantify molecular processes increases workload significantly and has limited the use of combined functional and molecular assessments of the heart. In addition, for some PET tracers such as 15 O-water, no specific uptake is seen in the myocardium, ruling out the use of electrocardiogram-gated reconstructions to assess myocardial function.Recently, automatic parametric imaging became available for 15 O-water (12), and the same methodology can be applied to most other tracers. Parametric images visualize tracer kinetic parameters on the pixel level and are generated during routine quantitative analysis of dynamic PET images. For a single-tissue-compartment model, used for tracers such as 82 Rb...
“…To quantify perfusion abnormality, we estimated the 11 C-HED influx rate from blood to myocardium (mLÁg 21 Ámin 21 ) using a single-tissue-compartment model (21) as an indicator of myocardial blood flow (22).…”
See an invited perspective on this article on page 781.Diastolic dysfunction is important in the pathophysiology of heart failure with preserved ejection fraction (HFpEF). Sympathetic nervous hyperactivity may contribute to the development of diastolic dysfunction. The aim of this study was to determine the relationship between myocardial sympathetic innervation quantified by 11 C-hydroxyephedrine PET and diastolic dysfunction in HFpEF patients. Methods: Forty-one HFpEF patients having an echocardiographic left ventricular ejection fraction of 40% or greater and 12 age-matched volunteers without heart failure underwent the echocardiographic examination and 11 C-hydroxyephedrine PET. Diastolic dysfunction was classified into grades 0-3 by Doppler echocardiography. Myocardial sympathetic innervation was quantified using the 11 C-hydroxyephedrine retention index (RI). The coefficient of variation of 17-segment RIs was derived as a measure of heterogeneity in myocardial 11 C-hydroxyephedrine uptake. Results: Grade 2-3 diastolic dysfunction (DD 2-3 ) was found in 19 HFpEF patients (46%). They had a significantly lower global RI (0.075 6 0.018 min 21 ) than volunteers (0.123 6 0.028 min 21 , P , 0.001) and HFpEF patients with grade 0-1 diastolic dysfunction (DD 0-1 ) (0.092 6 0.024 min 21 , P 5 0.046). HFpEF patients with DD 2-3 had the largest coefficient of variation of 17-segment RIs of the 3 groups (18.4% 6 7.7% vs. 14.1% 6 4.7% in HFpEF patients with DD 0-1 , P 5 0.042 for post hoc tests). In multivariate logistic regression analysis, a lower global RI (odds ratio, 0.66 per 0.01 min 21 ; 95% confidence interval, 0.38-0.99; P 5 0.044) was independently associated with the presence of DD 2-3 in HFpEF patients. Conclusion: Myocardial sympathetic innervation was impaired in HFpEF patients and was associated with the presence of advanced diastolic dysfunction in HFpEF.
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