scholarly journals Contrast-free whole heart myocardial blood flow quantification from magnetic resonance imaging-determination of coronary sinus flow

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
J K Tingsgaard ◽  
M H Sorensen ◽  
A S Bojer ◽  
R H Anderson ◽  
D A Broadbent ◽  
...  

Abstract Background Non-invasive reference quantification of whole heart myocardial blood flow (MBF) requires radioisotopes for PET and gadolinium contrast for cardiovascular magnetic resonance imaging (CMR) which in some cases is contraindicated. MBF may be determined from CMR quantification of flow in the coronary sinus (CSBF), the large vein draining the majority of the myocardium. Comparative studies of CSBF from CMR and MBF as determined from a reference technique have not yet been published in any larger cohorts. Purpose Our objective was to evaluate to what extent CMR CSBF measurements can be used to determine MBF as determined from gadolinium-contrast CMR in a cohort of normal subjects and patients with type 2 diabetes mellitus (T2DM) already demonstrated to display a wide range of MBFs. Methods 147 patients with T2DM and 25 age-matched controls were recruited to a cohort study on cardiovascular changes in DM. MBF was quantified from gadolinium-contrast perfusion sequences based on Fermi-constrained deconvolution. Myocardial segments with late gadolinium hyperenhancement or visually significant perfusion defects were included. CSBF was determined with CMR flow-sequences applied across the coronary sinus (VENC 0.5–1.0 m/s). Patients were studied during rest and maximal coronary artery dilatation by adenosine infusion (140 mg/kg/min). Blood flow stress-reserves were the ratio of stress to rest values. Co-variation of MBF and CSBF were determined from Bland-Altman plots with lines of agreement. Repeatability of CSBF was determined during the same experiment and calculated from single rater random intra class and repeatability coefficients. Results In normal subjects and patients with T2DM, MBF and CSBF increased during adenosine-stress (Fig. 1) with mean absolute increments of 172 and 163 mL/min/100g, and with mean stress-reserves of 3.35 and 3.24, respectively. Bland-Altman plots showed that MBF and CSBF covaried with a small bias, but in some cases with relatively large limits of agreement (Fig. 2). Overall, the mean bias of increase from rest-to-stress was 6 (CI: −1; 14) mL/min/100g with corresponding limits of agreement of 93 (CI 81; 105) and −80.2 (CI −92.6; 67.8) mL/min/100g. The mean bias of stress-reserve was 0.106 (CI: −0.0209; 0.234) with corresponding limits of agreement of −1.43 (CI: −1.65; −1.21) and 1.64 (CI: 1.42; 1.86). Intra-class and repeatability coefficients for coronary sinus flow were 0.95 (CI: 0.90; 0.95) and 5 mL/min/100g, respectively. Conclusion Myocardial blood flow can reproducibly and with a small bias be determined from the non-contrast technique of applying magnetic resonance imaging flow-sequences across the coronary sinus. Determination of MBF from coronary sinus blood flow may be useful in patient-groups where contrast is contraindicated, but limits of agreement with MBF must be taken into account. FUNDunding Acknowledgement Type of funding sources: None. Figure 1 Figure 2

2018 ◽  
Vol 63 (3) ◽  
pp. 035008 ◽  
Author(s):  
Cristian Borrazzo ◽  
Nicola Galea ◽  
Massimiliano Pacilio ◽  
Luisa Altabella ◽  
Enrico Preziosi ◽  
...  

1996 ◽  
Vol 271 (4) ◽  
pp. H1643-H1655 ◽  
Author(s):  
K. Kroll ◽  
N. Wilke ◽  
M. Jerosch-Herold ◽  
Y. Wang ◽  
Y. Zhang ◽  
...  

The purpose of the present study was to determine the accuracy and the sources of error in estimating regional myocardial blood flow and vascular volume from experimental residue functions obtained by external imaging of an intravascular indicator. For the analysis, a spatially distributed mathematical model was used that describes transport through a multiple-pathway vascular system. Reliability of the parameter estimates was tested by using sensitivity function analysis and by analyzing “pseudodata”: realistic model solutions to which random noise was added. Increased uncertainty in the estimates of flow in the pseudodata was observed when flow was near maximal physiological values, when dispersion of the vascular input was more than twice the dispersion of the microvascular system for an impulse input, and when the sampling frequency was < 2 samples/s. Estimates of regional blood volume were more reliable than estimates of flow. Failure to account for normal flow heterogeneity caused systematic underestimates of flow. To illustrate the method used for estimating regional flow, magnetic resonance imaging was used to obtain myocardial residue functions after left atrial injections of polylysine-Gd-diethylenetriaminepentaacetic acid, an intravascular contrast agent, in anesthetized chronically instrumental dogs. To test the increase in dispersion of the vascular input after central venous injections, magnetic resonance imaging data obtained in human subjects were compared with left ventricular blood pool curves obtained in dogs. It is concluded that if coronary flow is in the normal range, when the vascular input is a short bolus, and the heart is imaged at least once per cardiac cycle, then regional myocardial blood flow and vascular volume may be reliably estimated by analyzing residue functions of an intravascular indicator, providing a noninvasive approach with potential clinical application.


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