Coronary Artery and Sinus Velocity and Flow


A coronary stenosis may be observed during cardiovascular magnetic resonance (CMR) as an area of signal loss caused by turbulent flow, and although both the degree and the extent of signal loss are indicative of the severity of the stenosis, accurate quantification is not possible. However, both phasic coronary artery blood flow and flow velocity may be affected by the presence of stenosis, and the ratio of coronary artery flow under maximal vasodilation to coronary artery flow at rest (coronary flow reserve) is a good indicator of the physiologic significance to the myocardium. This makes the measurement of coronary flow and velocity valuable. Measurements of instantaneous and mean coronary flow parameters are most commonly made using an intracoronary Doppler flow wire, positioned in the arterial lumen during x-ray contrast angiography. However, this is an invasive procedure, with a small but definite risk of complications, and the radiation dose to the patient is relatively high for a diagnostic test. The repeated use of such a technique to monitor disease progression or regression in response to drug therapy or lifestyle changes is therefore not acceptable. In addition, the presence of the Doppler wire may itself affect flow, as may the stress to the patient resulting from the invasive nature of the procedure. Other techniques capable of assessing mean flow parameters include continuous thermodilution and positron emission tomography (PET), the former also requiring placement under x-ray contrast angiography, with the concomitant disadvantages, and the latter being relatively unavailable and expensive.

CMR has the ability to quantify blood flow noninvasively and has the potential to be a useful noninvasive alternative to the intracoronary technique. Since the 1980s, it has been used extensively for the assessment of phasic blood flow velocity and flow in a wide range of cardiovascular applications, and it has the potential to be implemented in coronary flow studies. One of the main problems relating specifically to applying the technique to the coronary arteries is their small size (typically <5 mm in diameter), which, for current levels of in-plane resolution, results in only a few pixels across the vessel. This has implications for the accurate measurement of both vessel cross-sectional area and blood flow velocity. Vessel tortuosity is a further problem, giving rise to difficulties in accurately aligning the vessel so that flow is truly through-plane or in-plane, as required. This is exacerbated by the movement of the arteries with the cardiac and respiratory cycles. In addition, the temporal resolution of the velocity encoding sequence must be sufficiently good to minimize the blurring of the vessel as a result of motion within the period of acquisition and to resolve the phasic velocity profile. The low peak flow velocities in normal arteries at rest (typically <25 cm/s) present a further challenge and require highly sensitive velocity windows, whereas in the presence of stenoses, high velocities are present, together with complex flow, which may lead to signal loss. The combination of these problems is formidable, and it was only in the last 10 to 15 years that CMR techniques started to generate results. This chapter reviews the progress made to date and discusses potential future improvements.

Indirect Assessment of Total Coronary Flow and Flow Reserve

Two indirect approaches for assessing total coronary flow and flow reserve by CMR have been reported, the first from velocity mapping of cardiac venous outflow and the second from velocity mapping in the aortic root.

Coronary Sinus Flow

Velocity mapping of coronary venous outflow is less problematic than velocity mapping in the coronary arteries because the coronary sinus has a much larger diameter (typically 7–10 mm), and also because effects of signal loss are unlikely because flow is less susceptible to turbulence. In the human heart, coronary sinus flow almost equals total coronary flow because approximately 96% of left ventricular (LV) venous blood flow drains into the right atrium via the coronary sinus. van Rossum and colleagues were the first to show that blood flow in the coronary sinus could be measured using CMR. This feasibility study assessed the ability of cine CMR velocity mapping to measure phasic and mean coronary venous outflow in the distal coronary sinus of 24 healthy subjects. The flow profiles were generally biphasic and primarily diastolic, with 37% of subjects showing some reverse flow immediately after the R-wave. The mean volumetric flow over the cardiac cycle was 144 ± 62 mL/min, similar to values reported in normal subjects using continuous thermodilution (122 mL/min). Although phasic blood flow in the sinus may have been expected to be predominantly systolic, as in other venous structures, the authors suggested that the thin, compliant walls of the sinus, together with its drainage into the right atrium, where pressure varies considerably, may be responsible for the predominantly diastolic flow profile. These findings have been supported by other independent studies, both directly, using an ultrasonic transit time technique to measure phasic volumetric coronary sinus flow in conscious dogs, and indirectly, by observing areas of signal void, caused by accelerating and turbulent flow near the entrance of the coronary sinus in the right atrium in early diastole, in conventional cine CMR in healthy subjects.

Fig. 25.1 shows the typical image plane orientation for coronary sinus flow measurements together with a typical coronary sinus flow curve.

FIG. 25.1, Coronary sinus flow measurement. The coronary sinus is identified in the atrioventricular groove, on the basal slice of a short-axis stack (A). The plane for flow measurement is prescribed parallel to the long-axis of the heart on the 4-chamber view and perpendicular to the direction of flow in the coronary sinus, approximately 0.5 cm from the ostium ( green line , A and B). The proximal coronary sinus is seen in cross-section on the phase contrast images (C and D). Flow versus time curves are generated by drawing a region of interest around the coronary sinus to calculate through-plane flow (E).

The imaging time for the feasibility study was typically 4 minutes, and this may be inappropriate when assessing sinus flow under pharmacologically induced maximal vasodilation. Kawada and associates assessed the possibility of using a segmented k -space gradient echo CMR approach to the acquisition so that all data could be acquired in <25 seconds. This had the further advantage that the full acquisition could be performed in a single breath-hold, thereby eliminating the effects of respiratory motion. In a study of 9 healthy subjects and 29 patients with hypertrophic cardiomyopathy (HCM), data were acquired from an oblique coronal plane. Four reference and four velocity encoded views were acquired per data segment, giving a segment duration of 120 ms, but the temporal resolution was effectively improved by view sharing, a technique whereby data are generated at intermediate time points from the preceding and following data segments. Hence, depending on the RR interval, velocity maps were obtained at up to 14 phases in the cardiac cycle. The authors observed the same biphasic velocity and flow profiles in both healthy subjects and patients with HCM, with no significant difference noted between the baseline myocardial blood flow (coronary blood flow per unit mass of myocardium) in the two groups (0.74 mL/min per gram vs. 0.62 mL/min per gram). However, after intravenous administration of 0.56 mg/kg dipyridamole, the increase in myocardial blood flow in patients with HCM (0.62 mL/min per gram to 1.03 mL/min per gram) was less than that in the healthy subjects (0.74 to 2.14 mL/min per gram), resulting in significantly different coronary flow reserves for the two groups (1.72 ± 0.49 vs. 3.01 ± 0.75, respectively, P < .01). The authors concluded that, in healthy subjects, myocardial blood flow and coronary flow reserve, as measured by breath-hold phase velocity mapping, were similar to those found by other techniques; in addition, the CMR technique was able to distinguish between healthy subjects and patients with HCM. A more recent study in young HCM patients (22.3 ± 6.4 years) and age-matched subjects at risk of HCM has similarly shown that HCM patients (but not subjects at risk of HCM) have reduced myocardial blood flow response to adenosine-induced hyperemia, even in the absence of diastolic dysfunction or left ventricular outflow tract obstruction. The breath-hold approach has also been used by Kennedy and colleagues to show significant differences in the coronary flow reserve of healthy subjects (4.59 ± 0.58) and heart transplant patients with mild (2.15 ± 0.44, P < .05) and severe (2.21 ± 0.59, P < .05) coronary disease, as determined by posttransplant coronary angiography. It has also been used to show reduced coronary flow reserve in patients with high serum eicosapentaenoic acid (EPA) compared with those with low EPA, and in those with heart failure with preserved ejection fraction compared with those with hypertensive left ventricular hypertrophy and controls. At 3 T, the increased signal-to-noise ratio (SNR) available generally allows imaging of coronary sinus flow with higher spatial resolution or, particularly when used in combination with parallel imaging techniques, reduced breath-hold duration. Imaging at 3 T has been used to determine the feasibility of flow reserve quantification using regadenoson, a relatively new selective adenosine A2A receptor agonist and to investigate the role of aminophylline reversal. It has also been used to show reduced coronary flow reserve in patients with surgically repaired tetralogy of Fallot, compared with healthy volunteers (1.19 ± 0.34 vs. 2.00 ± 0.43, P = .002) and in two similar studies (one at 1.5 T and one at 3 T) to show that, whereas smokers and nonsmokers have similar baseline myocardial blood flows, smokers have a significantly reduced response to cold pressor testing ( Fig. 25.2 ). A spiral k -space coverage phase velocity mapping sequence at 3 T has allowed the acquisition of data with a spatial resolution of 0.8 mm × 0.8 mm in an 11 to 15 s breath-hold with a temporal resolution of 60 to 69 ms and has been used to show myocardial blood flow increases in response to cold pressor testing in asymptomatic women. A validation of the breath-hold approach was reported by Koskenvuo and associates, who compared myocardial blood flow measured by CMR with that measured by PET in both healthy subjects and patients with coronary artery disease (CAD). Good correlations were reported for myocardial blood flow in both subject groups (0.82 and 0.80, respectively), whereas for coronary flow reserve, the correlations were 0.76 and 0.5, respectively.

FIG. 25.2, Individual myocardial blood flow (MBF) Δ values and percent change of MBF in nonsmokers and smokers. The mean ΔMBF during the continuous performance test (CPT) in nonsmokers was 0.26 ± 0.18 mL/min per gram. The mean ΔMBF during the CPT in smokers was 0.02 ± 0.20 mL/min per gram and was significantly lower than in nonsmokers ( P = .005). The mean percent change of MBF in smokers was significantly lower than in nonsmokers (3.6 ± 19.7 vs. 30.7 ± 21.3%, P = .003).

One issue with the breath-hold approach to measuring coronary sinus flow is that breath-holding changes intrathoracic pressure and affects cardiac output and venous blood flow. Schwitter and coworkers performed a validation of nonbreath-hold velocity mapping against PET. Although taking longer to acquire (typically 4 minutes), the nonbreath-hold technique has the advantages of higher spatial resolution (0.8 × 0.8 mm) and improved SNR through the acquisition of multiple averages. Furthermore, the high temporal resolution that is achievable is better suited for resolving the highly pulsatile flow profile and for minimizing the blurring effects of the extensive in-plane motion of the coronary sinus during the cardiac cycle. Unlike the initial study of van Rossum and coworkers, this free breathing study used retrospective electrocardiogram (ECG) gating, which enables data acquisition throughout the entire cardiac cycle, and respiratory ordered phase encoding, which reduces the effects of respiratory motion. Scans were performed both before and after the administration of 0.56 mg/kg dipyridamole in 16 healthy subjects and 10 orthotopic heart transplant recipients and the results were compared with PET data. The mean difference between coronary flow reserve measured by PET and CMR was 2.2%, with limits of agreement of −27.2% and 31.6%. Correlation between CMR-measured myocardial blood flow (coronary sinus flow divided by myocardial mass) and PET was good ( r = 0.93), although the slope was considerably less than unity (0.73). This underestimation of blood flow measured by CMR results from the fact that a variable part of the inferior and inferior-septal myocardium is drained by the middle cardiac vein, which either enters the coronary sinus just before its orifice or empties directly into the right atrium. If coronary sinus flow is divided instead by the mass of drained myocardium (as measured from a stack of short axis images), the correlation remains good ( r = 0.95), whereas the slope approaches unity (1.05). Fig. 25.3 shows a regression plot of myocardial blood flow (sinus blood flow per unit mass of drained myocardium) measured by CMR and PET, with baseline flows normalized for rate-pressure product, together with a Bland-Altman plot. The mean differences between PET and CMR were 3.4% ± 12.8% at resting baseline and 3.9% ± 20.2% during hyperemia and were not significant. The authors have subsequently used this technique to show that administration of 17β-estradiol over 3 months without progestin coadministration does not improve coronary flow reserve in postmenopausal women. A similar nonbreath-hold technique was used by Moro and colleagues at 3 T to show that women have a higher increase in myocardial blood flow in response to cold pressor testing than men (0.73 ± 0.43 mL/g per minute vs. 0.22 ± 0.19 mL/g per minute, P = .0012).

FIG. 25.3, (A) Correlation between estimate of myocardial blood flow (MBF) (mL/min per gram) derived from positron emission tomography (PET) (x axis) and magnetic resonance (MR) (y axis) measurements. For compressed sensing (CS) flow divided by drained myocardium, correlation with PET data is high and the slope of the regression line approximates unity (dashed line) . (B) Comparison of myocardial blood flow as measured by PET and MR (coronary sinus flow divided by drained myocardium mass) with baseline flow normalized for rate-pressure product (Bland-Altman analysis). Mean differences between PET and MR measurements during baseline (3.4% ± 12.8%) and hyperemia (3.9% ± 20.2%) were not significantly different. CMR, Cardiovascular magnetic resonance; LVM , left ventricular mass; SD , standard deviation.

A validation of nonbreath-hold CMR-measured coronary sinus flow has also been performed against flow probes in dogs by Lund and associates. In this study, the correlation between coronary blood flow (measured as the sum of left anterior descending [LAD] and circumflex [LCX] coronary flow) with flow probes against coronary sinus flow measured with CMR was 0.98, with a nonsignificant mean difference of 3.1 ± 8.5 mL/min. Coronary sinus blood flow per unit mass of myocardium was 0.40 ± 0.09 mL/min per gram (CMR) compared with 0.44 ± 0.08 mL/min per gram (flow probes) and also was not significant. The authors went on to study patients with chronic heart failure and showed that coronary flow reserve was significantly reduced compared with that in healthy subjects (2.3 ± 0.9 vs. 4.2 ± 1.5, P = .01). This has been recently confirmed by Aras and colleagues (coronary flow reserve 1.45 vs. 3 in patients with chronic heart failure and healthy subjects, respectively, P < .001). Similarly, Watzinger and coworkers have shown significantly reduced flow reserve in patients with idiopathic cardiomyopathy compared with healthy subjects (2.19 ± 0.77 vs. 3.51 ± 1.29, P < .05). In all three studies, there were no significant differences in baseline flow between healthy subjects and those with disease (0.52 mL/min per gram vs. 0.46 mL/min per gram, P = not significant [NS]; 0.83 ± 0.26 mL/min per gram vs. 0.85 ± 0.30 mL/min per gram, P = NS; and 0.55 ± 0.19 mL/min per gram vs. 0.48 ± 0.07 mL/min per gram, P = NS).

These studies provide useful results, but have a number of important limitations. Cardiac and respiratory motion results in blurring of the sinus, and the small number of pixels covering the sinus (typically five across the diameter in diastole) results in considerable partial volume averaging in edge pixels, which is problematic for the accurate assessment of sinus cross-sectional area and for the determination of mean sinus flow velocity. As discussed, drainage of a variable part of the inferior and inferior-septal myocardium by the middle cardiac vein results in underestimates of myocardial blood flow measured, and although this estimate is an indicator of total coronary blood flow, no regional assessment of either flow or flow reserve is possible with this technique.

Total Coronary Flow Reserve From Measurements in the Aortic Root

In 1993, it was proposed that coronary flow reserve might be derived from flow measurements made in the ascending aorta, which is less susceptible to cardiac and respiratory motion and partial volume effects than the coronary arteries. Coronary diastolic flow, which represents the bulk of coronary flow, can be estimated as the retrograde flow in the ascending aorta during systole and diastole minus the antegrade flow during diastole. A variable velocity encoding window was implemented to maintain the accuracy of velocity measurements during periods of both high flow in systole (window = 200 cm/s) and low flow in diastole (window = 30 cm/s). Although it was suggested that the assessment of absolute diastolic coronary flow with this technique is inaccurate because of known errors associated with the velocity mapping technique, it was argued that these errors should be the same both pre-vasodilation and postvasodilation and therefore should be eliminated from the assessment of diastolic coronary flow reserve, defined in this instance as the difference (rather than the ratio) between the two measurements. In seven patients with abnormal findings on myocardial perfusion scintigraphy, the diastolic coronary flow reserve was −50 ± 76 mL/min compared with 260 ± 66 mL/min in eight healthy subjects. The principle of this technique was later refined by taking into account the motion of the coronary arteries during the cardiac cycle. A model was developed describing the flow through five transverse parallel aortic slices extending from the base of the aortic valve to above the level of the coronary ostia. This was then solved mathematically, and in five healthy subjects, it was shown that the standard error in the measurement of total coronary artery flow was approximately 90 mL/min, or 30% of total coronary artery flow. The error in coronary flow reserve is higher because the errors in baseline and maximal vasodilation flow are additive. In addition, the assumption that flow is predominantly diastolic, although true in healthy subjects, may not hold in the presence of disease, introducing further unknown errors into the technique. A more recent attempt at measuring coronary artery blood flow in this way likewise found that the technique was compromised by poor reproducibility, although significant changes in coronary blood flow with hormone replacement therapy were observed.

Direct Assessment of Coronary Artery Velocity

The problems associated with the assessment of flow velocity and coronary artery flow were discussed earlier and preclude the application of standard CMR techniques. As for coronary imaging, the major breakthrough for coronary flow techniques was the shortening of sequence duration to the extent that data could be acquired over a single breath-hold, effectively freezing respiratory motion and eliminating the resulting artifact. Further advances with navigator echo monitoring of the diaphragm position have allowed data to be acquired over multiple reproducible breath-holds or during free breathing, enabling increased spatial and temporal resolution and data averaging (resulting in higher SNRs). The following sections describe the approaches used to assess coronary flow velocity and flow.

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