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DOI: 10.1148/radiol.2211001004
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(Radiology. 2001;221:229-236.)
© RSNA, 2001


Experimental Studies

Coronary Microvascular Functional Reserve: Quantification of Long-term Changes with Electron-Beam CT—Preliminary Results in a Porcine Model1

Stefan Möhlenkamp, MD, Thomas R. Behrenbeck, MD, PhD, Amir Lerman, MD, Lilach O. Lerman, MD, PhD, V. Shane Pankratz, PhD, Patrick F. Sheedy, II, MD, Amy L. Weaver, MS and Erik L. Ritman, MD, PhD

1 From the Departments of Physiology and Biophysics (S.M., E.L.R.), the Department of Internal Medicine, Divisions of Cardiovascular Diseases (T.R.B., A.L.) and Hypertension (L.O.L.), the Section of Biostatistics (A.L.W., V.S.P.), and the Department of Diagnostic Radiology (P.F.S.), Mayo Clinic and Foundation, 200 First St SW, Alfred 2-409, Rochester, MN 55905. Received May 25, 2000; revision requested July 12; final revision received March 5, 2001; accepted March 23. Supported in part by National Institutes of Health research grant HL-43025. Address correspondence to E.L.R. (e-mail: elran@mayo.edu).


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
PURPOSE: To evaluate the ability of electron-beam computed tomography (CT) to help quantify long-term changes in coronary microvascular functional reserve in a porcine model.

MATERIALS AND METHODS: Electron-beam CT–based intramyocardial blood volume and perfusion and Doppler ultrasonography (US)–based intracoronary blood flow were obtained in 13 pigs at baseline and again 3 months later. Measurements were obtained at rest and after the administration of adenosine. The short-term variation during 30 minutes of electron-beam CT measurements was assessed in nine additional pigs.

RESULTS: Short-term variation of blood volume and perfusion averaged 8% and 9%, respectively, and was similar for both weight groups at rest and after adenosine administration. At rest, intracoronary blood flow, blood volume, and perfusion remained unchanged from baseline to follow-up. Long-term increases (percentage change with adenosine relative to that at rest) in blood volume and perfusion reserves were consistent with increasing intracoronary blood flow reserves. Despite these long-term changes in intracoronary blood flow, blood volume, and perfusion, the blood volume–to-perfusion relationship suggests a similar blood volume distribution among different microvascular functional components in normal porcine myocardium at both weight groups.

CONCLUSION: Electron-beam CT may be of value for quantifying long-term changes in intramyocardial microvascular function.

Index terms: Blood, volume • Computed tomography (CT), electron beam, 51.12119 • Coronary vessels, CT, 54.12119 • Coronary vessels, flow dynamics, 54.12119 • Myocardium, 511.12119


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The coronary microcirculation, which plays an important role in the regulation of myocardial blood flow, undergoes functional and morphologic changes during various conditions. In the normal healthy heart, microvascular changes occur during growth and maturation (1). Various common important diseases such as diabetes mellitus, atherosclerosis, cardiomyopathies, and arterial hypertension also result in functional and morphologic microvascular alterations, which may precede clinical signs and symptoms (2). Furthermore, evolving therapeutic strategies target the coronary microcirculation to improve microvascularization to ischemic myocardium (3,4). Consequently, a minimally invasive technique that allows quantification of long-term changes in intramyocardial microvascular function, with sufficient sensitivity to help differentiate physiologic or pathologic changes from random variation of measurements, would be of value.

We have previously demonstrated that minimally invasive computed tomography (CT) can be used to obtain quantitative indexes of intramyocardial microcirculatory function (5,6). In particular, by virtue of its ability to quantify regional intramyocardial microvascular blood volume and perfusion, electron-beam CT represents a promising tool for evaluating microvascular function in healthy and diseased myocardium (7). Its sensitivity in the quantification of long-term changes in intramyocardial blood volume and perfusion, however, is yet to be shown.

The aim of this study was to examine the ability of electron-beam CT to help detect and quantify subtle long-term changes in microvascular function that occur in the normal porcine heart and compare it with intracoronary Doppler ultrasonography (US).


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Animal Preparation and Methods
The study was reviewed and approved by the Mayo Clinic Institutional Animal Care and Use Committee in accordance with National Institutes of Health guidelines. Thirteen male pigs were studied at baseline (approximately 3 months old, mean body weight ± SD, 27 kg ± 2) and again 3 months later (follow-up study, mean body weight, 55 kg ± 8). Short-term variation of electron-beam CT measurements (two to four identical scans obtained at 30-minute intervals) was assessed in nine additional pigs with similar body weights at baseline and follow-up (28 kg ± 2 [n = 4] and 55 kg ± 7 kg [n = 5], respectively). All pigs were initially anesthetized with intramuscular administration of 12.5 mg/kg ketamine and 2 mg/kg xylazine. Anesthesia was maintained with intravenous infusion of 100 mg of ketamine in 500 mL of normal saline. Animals were fasted overnight before each procedure but allowed access to tap water ad libitum.

All animals were intubated and ventilated with room air, given oxygen when necessary, and placed supine in a molded cast for the duration of both the electron-beam CT and Doppler US studies. The external and internal jugular veins were exposed by means of cutdown and cannulated with a 7-F sheath. A bipolar pacing catheter was positioned with its tip in the coronary sinus to permit atrial pacing when necessary and to monitor coronary sinus pressures. A pigtail catheter was placed in the superior vena cava for administering contrast material. The external carotid artery was cannulated with an 8-F sheath. After intravenous injection of 10,000 U of heparin (followed by intravenous infusion of 1,000 U of heparin per hour), an 8-F Judkins left coronary guiding catheter was placed in the left main coronary artery for selective intracoronary injections of contrast material and for monitoring proximal coronary artery pressure. A 2.2-F dual-lumen infusion catheter (Ultrafuse; Boston Scientific Scimed, Maple Grove, Min) was advanced into the proximal left anterior descending artery (LAD) for selective infusion of drugs and performance of intracoronary Doppler US studies.

Electron-Beam CT
The technical features of the electron-beam CT unit (C-150; Imatron, South San Francisco, Calif) that are relevant to myocardial imaging have been described in detail elsewhere (8). Complete electron-beam CT and Doppler US studies were performed on the same day in alternating order for sequential pigs. All animals were positioned in the electron-beam CT scanner so that the heart was centered in the imaging field. The diameter of the reconstructed image field of view was 21–30 cm, depending on the size of the animal (pixel size, 0.34–0.69 mm2; section thickness, 7 mm; voxel volume, 2.38–4.83 mm3). The scanning table was rotated and tilted to obtain short-axis tomographic images at midventricular cross sections of the left ventricular chamber and the surrounding myocardium; papillary muscles were used as landmarks. All images were obtained in late diastole (at 80% of the RR interval) with an image acquisition time of 50 msec.

Initially, nonionic contrast material (iopamidol [Isovue; Bracco Diagnostics, Princeton, NJ]) was injected selectively into the LAD (5 mL over 1.3 seconds) through the coronary infusion catheter to highlight the region of myocardium that is perfused by the LAD downstream to the catheter tip. Then, two CT flow studies were performed at 20-minute intervals, each after a rapid injection of a bolus of the same contrast material (0.33 mL/kg over 2 seconds) into the superior vena cava. Each sequence included 40 scans obtained every one to two heart cycles over 35–50 seconds, depending on the heart rate. Hemodynamic data were recorded just before each electron-beam CT study. The first image in each sequence was obtained before the injection of contrast material to provide background myocardial image intensity. The first scanning sequence was performed during resting conditions after selective intracoronary infusion of normal saline for 5 minutes at a rate of 1 mL/min. The second scanning sequence was performed after selective intracoronary infusion of adenosine (Sigma Chemical, St Louis, Mo; 100 µg/kg/min) for 5 minutes. Each study was followed by a 20-minute recovery period with selective intracoronary infusion of saline (1 mL/min) to allow for washout of the contrast material from the myocardium and the systemic circulation.

Intracoronary Doppler US and Coronary Angiography
A 0.014-inch Doppler guide wire (Cardiometrics FloWire; EndoSonics, Rancho Cordova, Calif) was advanced through the infusion catheter and positioned in a long straight proximal segment of the LAD. All drugs were subsequently infused selectively into the LAD at a rate of 1 mL/min through the coronary infusion catheter. As with the electron-beam CT study, 100 µg/kg/min of adenosine was infused continuously for 5 minutes before Doppler data were recorded.

Hemodynamic measurements were recorded before and after the infusion of drugs. The average peak velocity (APV, in centimeters per second) was obtained from an online analysis of Doppler parameters of intracoronary flow velocities and recorded just before selective angiography was performed. Selective coronary angiography was performed for quantitative analysis of end-diastolic videoangiographic frames to measure the luminal diameter of the coronary artery. Coronary artery diameters were measured by one author (S.M.) offline 3–5 mm distal to the tip of the Doppler wire by using a previously described quantification software program (9). Intracoronary blood flow (in milliliters per minute) was calculated from Doppler US–derived time-velocity integrals (in centimeters per second) and vessel diameters (in centimeters) as previously described (10): intracoronary blood flow = 0.5 · {pi} · APV · 60 · (0.5 · coronary artery diameter)2.

Image Data Display and Analysis
Electron-beam CT scans were reconstructed by using the vendor-supplied algorithm. The resulting tomographic images were transferred to a UNIX-based workstation (Sun Microsystems, Palo Alto, Calif). Images were evaluated by using an image analysis software package (ANALYZE version 7.5; Biomedical Imaging Resource, Mayo Foundation, Rochester, Minn). On tomographic images showing peak attenuation of the left ventricular (LV) chamber, one author (S.M.) manually outlined one region of interest in the anterior cardiac wall and a second region of interest in the LV chamber. Because of the increase in heart size with increasing body weight, regions of interest in the anterior cardiac wall were slightly smaller at baseline compared with those at follow-up (306 mm2 ± 65 vs 399 mm2 ± 89, respectively). For the region of interest that outlines the LAD perfusion territory, we used the image sequence in which contrast material was selectively injected into the LAD. This region of interest was applied to all subsequent studies in which contrast material was injected into the superior vena cava. Average pixel intensities were calculated for the region of interest in the LV chamber and in the LAD-perfused anterior cardiac wall on every image of the sequence. These time-intensity data were plotted to generate indicator dilution curves (Fig 1), which are needed to obtain indexes of myocardial perfusion (in milliliters per gram per minute) and myocardial blood volume (in milliliters per gram), as previously described (7).



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Figure 1. Electron-beam CT scan (left) obtained during peak attenuation of the LV chamber at end diastole. The perfusion territory of the LAD is outlined in the anterior cardiac wall. The imaging sequence provided time-intensity curves (right), where each data point represents the average attenuation (in Hounsfield units [HU]) within the region of interest. These curves are used to obtain indexes of intramyocardial blood volume and perfusion (see text for details).

 
Intramyocardial Microvascular Blood Volume
Our model of the coronary microcirculation has previously been described in detail (6,7). In brief, the intramyocardial microcirculation (ie, vessels with a lumen diameter of less than 500 µm that are not individually resolvable on whole-body CT scans) is modeled as two sets of vessels arranged in series. One set consists of functionally nonrecruitable conducting vessels, which are assumed to be always patent and perfused but can change their diameter in response to various stimuli. The vascular resistance in these vessels is assumed to follow the Poiseuille Law, which relates the flow to the fourth power of the vessel radius, that is, the square of the vessel cross-sectional area (CSA); thus, perfusion (F) {propto} CSA2. Because the length of these vessels does not change much relative to the change in cross-sectional area, the intraluminal volume of these nonrecruitable vessels (BVnr) should be proportional to the cross-sectional area. Hence, it should follow that F {propto} BV2nr or BVnr {propto} . The other microvascular component consists of functionally recruitable vessels (presumably mostly capillaries, small arterioles, and venules), which are assumed not to change in diameter so much as to the change in the number of vessels perfused. The vascular resistance in these vessels is thus inversely related to the number of recruited vessels. Because the intraluminal blood volume of the recruitable vessels (BVr) should be proportional to the number of recruited vessels, it should follow that F {propto} BVr. Because the recruitable vessels and nonrecruitable vessels are in series, the following relationship should hold: blood volume = BVr + BVnr = aF + b , where a and b are coefficients to be established experimentally.

Statistical Analysis
Values are reported as means ± SD. A logarithmic transformation was applied to some of the outcome measurements (APV, intracoronary blood flow, perfusion, and blood volume in the recruitable component) to stabilize the variance before the analysis. To evaluate the effect of body weight level (baseline vs follow-up) and adenosine use (resting vs adenosine) on the outcome measurements, three separate two-factor repeated measures multivariate analysis of variance (ANOVA) models were fit. Each multivariate ANOVA model enabled the examination of a separate set of measurements as outlined within the Results section. In addition, a three-factor multivariate ANOVA model was fit to evaluate the hemodynamic parameters by considering type of modality (electron-beam CT vs Doppler US) as an additional factor. In each multivariate ANOVA model, the type I error level ({alpha}) for assessing the results of the F tests was set at 0.0125 after applying a Bonferroni correction to adjust for the four separate analyses. In the presence of a statistically significant result based on a multivariate ANOVA test for a particular factor (eg, weight level, adenosine use, or their interaction), we then proceeded to evaluate the univariate F tests from a two-factor repeated measures ANOVA model for each separate outcome measurement at a type I error level of 0.05 with assurance that the experiment-wise error rate will be close to 5% (11). If the results of the univariate F test for the interaction effect were statistically significant at the .05 level, individual comparisons across the four levels of the two factors were then evaluated by using the Fisher protected least significant difference test. The protected least significant difference test uses the overall sample variance estimated from an ANOVA model and controls the overall experiment-wise error rate at 5% because it examines only pair-wise differences for factors with statistically significant F test results.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Hemodynamic Parameters
The changes in hemodynamic parameters associated with changes in body weight (from 27 kg ± 2 to 55 kg ± 8) did not reach statistical significance (Table 1) (P = .035, not significant at {alpha} = .0125). Adenosine induced a statistically significant increase in heart rate (P = .012) and a statistically significant decrease in mean and systolic blood pressure (P < .001) compared with that at rest (Table 1). Neither adenosine nor the increased weight had an effect on the rate-pressure product. The response of the hemodynamic parameters to adenosine relative to rest was similar at baseline and follow-up. Hemodynamic parameters were also similar in the Doppler and electron-beam CT studies at both baseline and follow-up (Table 1).


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TABLE 1. Hemodynamic Variables at Baseline and Follow-Up

 
Coronary Artery Diameter, APV, and Coronary Blood Flow
The analysis of coronary artery diameter, APV, and intracoronary blood flow revealed statistically significant differences for each measurement owing to adenosine use (P < .001) and change in body weight (P < .001), as well as a significant body weight–adenosine interaction (P < .001), with a higher response to adenosine (relative to rest) at follow-up compared to baseline (Table 2). During resting conditions, the mean coronary artery diameter increased significantly from baseline to follow-up (P < .001), whereas mean intracoronary blood flow (Fig 2a) increased slightly from baseline to follow-up; APV values remained unchanged (Table 2). In response to adenosine, coronary artery diameter, APV, and intracoronary blood flow increased significantly from baseline to follow-up (P < .001) (Table 2). Within the baseline and follow-up studies separately, APV and intracoronary blood flow both significantly increased in response to adenosine relative to resting conditions (P < .001) (Table 2). A significant response to adenosine relative to resting conditions was also observed during the follow-up studies for coronary artery diameter (P < .001). Long-term increases in the percentage change with adenosine relative to rest from baseline to follow-up were observed for APV (from 323% ± 154 to 596% ± 197) and intracoronary blood flow (from 384% ± 138 to 667% ± 190) but not for coronary artery diameter (from 5% ± 5 to 7% ± 5).


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TABLE 2. Findings at Angiography, Intracoronary Doppler US, and Electron-Beam CT at Baseline and Follow-Up

 


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Figure 2a. Graphs show absolute values (and mean ± SD) of (a) Doppler US-based intracoronary blood flow (CBF), (b) electron-beam CT-based intramyocardial blood volume (BV), and (c) perfusion (F) at rest and in response to adenosine at baseline and at follow-up. Within the baseline and follow-up studies separately, intracoronary blood flow, blood volume, and perfusion significantly increased in response to adenosine (P < .001, respectively). The increase in blood volume and perfusion at follow-up in response to adenosine was greater than that at baseline, and this is consistent with intracoronary blood flow measurements (P < .001 for blood volume, perfusion, and intracoronary blood flow).

 


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Figure 2b. Graphs show absolute values (and mean ± SD) of (a) Doppler US-based intracoronary blood flow (CBF), (b) electron-beam CT-based intramyocardial blood volume (BV), and (c) perfusion (F) at rest and in response to adenosine at baseline and at follow-up. Within the baseline and follow-up studies separately, intracoronary blood flow, blood volume, and perfusion significantly increased in response to adenosine (P < .001, respectively). The increase in blood volume and perfusion at follow-up in response to adenosine was greater than that at baseline, and this is consistent with intracoronary blood flow measurements (P < .001 for blood volume, perfusion, and intracoronary blood flow).

 


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Figure 2c. Graphs show absolute values (and mean ± SD) of (a) Doppler US-based intracoronary blood flow (CBF), (b) electron-beam CT-based intramyocardial blood volume (BV), and (c) perfusion (F) at rest and in response to adenosine at baseline and at follow-up. Within the baseline and follow-up studies separately, intracoronary blood flow, blood volume, and perfusion significantly increased in response to adenosine (P < .001, respectively). The increase in blood volume and perfusion at follow-up in response to adenosine was greater than that at baseline, and this is consistent with intracoronary blood flow measurements (P < .001 for blood volume, perfusion, and intracoronary blood flow).

 
Electron-Beam CT–based Intramyocardial Blood Volume and Perfusion and Correlation of Perfusion with Intracoronary Blood Flow
The analysis of blood volume and perfusion revealed statistically significant differences for each measure owing to adenosine use (P < .001) and change in body weight (P = .007), as well as a significant body weight–adenosine interaction (P < .001), with a higher response to adenosine (relative to rest) at follow-up than at baseline (Fig 2b, Fig 2c) (Table 2). Resting intramyocardial blood volume was similar at baseline and follow-up, as was resting perfusion (Table 2). With adenosine, however, mean blood volume and mean perfusion significantly increased from baseline to follow-up (Table 2). In response to adenosine, mean blood volume and mean perfusion were significantly higher than that at rest, both at baseline and follow-up (Table 2). Long-term increases in blood volume reserves (from 76% ± 43 at baseline to 135% ± 42 at follow-up) and perfusion reserves (from 135% ± 90 to 264% ± 96) were consistent with increasing intracoronary blood flow reserves (from 384% ± 138 to 667% ± 190). Comparison of Doppler US–based intracoronary blood flow with electron-beam CT measurements of perfusion for all animals at rest and after infusion of adenosine showed a good linear correlation between these two variables (Fig 3).



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Figure 3. Graph shows the relationship between baseline and follow-up values of Doppler US-based intracoronary blood flow (CBF) and electron-beam CT-based perfusion (F) at rest and after adenosine. There is a good correlation between intracoronary blood flow and perfusion over the entire range of flow values. Variation of measurements around the regression line is primarily attributable to nonsimultaneous data acquisition (ie, temporal heterogeneity of myocardial perfusion) and to tomographic sampling of a myocardial subsection within the perfusion territory with electron-beam CT versus upstream assessment of blood flow through the entire perfusion bed with Doppler US (ie, spatial heterogeneity of myocardial perfusion).

 
Relationship of Intramyocardial Blood Volume to Perfusion and Blood Volume in Microvascular Functional Components
The regression line BV = aF + was fitted separately to all baseline and follow-up data. On the basis of this analysis, we found that blood volume and perfusion values obtained at rest and after adenosine administration followed the same curvilinear line at both baseline and follow-up despite differences in maximal blood volume and perfusion at the different body weights (Fig 4).



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Figure 4. Graph shows the relationship between blood volume (BV) and perfusion (F) on the basis of parameters derived from electron-beam CT. Values are given at baseline (resting conditions = {circ}, adenosine = {bullet}) and at follow-up (resting conditions = {square}, adenosine = {blacksquare}). Despite a different microvascular functional response to adenosine at baseline and follow-up, all values follow the same curvilinear line, which suggests that the relative distribution of recruitable and nonrecruitable vessels remained fairly constant in normal porcine hearts during the 3-month follow-up period (see text for details).

 
The analysis of blood volume in the recruitable and nonrecruitable components revealed statistically significant differences for each measure owing to adenosine use (P < .001) and change in body weight (P = .002), as well as a significant body weight–adenosine interaction (P < .001), with a higher response to adenosine (relative to rest) at follow-up than at baseline. At rest, the mean recruitable and nonrecruitable blood volume was similar at baseline and follow-up (recruitable blood volume, 0.027 mL/g ± 0.009 and 0.024 mL/g ± 0.003, respectively; nonrecruitable blood volume, 0.119 mL/g ± 0.019 and 0.114 mL/g ± 0.008, respectively; P = not significant for both). In response to adenosine, however, the mean recruitable and nonrecruitable blood volume was higher at follow-up than at baseline (recruitable blood volume, 0.087 mL/g ± 0.021 and 0.060 mL/g ± 0.018, respectively; nonrecruitable blood volume, 0.214 mL/g ± 0.026 and 0.176 mL/g ± 0.027, respectively; P < .001 for both). In response to adenosine, the recruitable and nonrecruitable blood volume was significantly higher than that at rest within both the baseline and follow-up studies separately (P < .001 for all). The long-term changes in recruitable blood volume reserves in response to adenosine were higher at follow-up than at baseline (264% ± 95 vs 135% ± 91, respectively), as were increases in nonrecruitable blood volume (89% ± 25 vs 51% ± 29%, respectively).

Short-term Variation of Blood Volume and Perfusion
Multiple blood volume and perfusion estimates were obtained from sequential scans obtained in a subset of animals in the low-weight group (n = 4) and the high-weight group (n = 5) to assess the within-animal variation. Blood volume and perfusion estimates obtained from sequential scans varied little during a period of up to 2 hours (Fig 5). Coefficients of variation were similar at rest and with adenosine in both weight groups, with an average coefficient of variation of about 8% for blood volume and 9% for perfusion (Table 3). Variation of measurements among different animals (between-animals evaluation) was generally lower in the high-weight group (Table 3).



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Figure 5. Graphs show variation in (left) intramyocardial blood volume (BV) and (right) perfusion (F) measurements. Perfect alignment of these data with the line of identity would mean absence of temporal variation.

 

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TABLE 3. Variation of Blood Volume and Perfusion at Different Adenosine Levels and Body Weights

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In this study, we measured the ability of electron-beam CT to help quantify small long-term changes in microvascular functional reserve in the normal porcine heart. We found that electron-beam CT–based estimates of intramyocardial blood volume and perfusion obtained in repetitive scanning sequences were highly reproducible over a wide range of blood flows during a period of at least 1 hour and that microcirculatory functional reserve can be quantified in the normal porcine heart with electron-beam CT. Long-term changes in electron-beam CT–based blood volume and perfusion reserve are consistent with changes in Doppler US–based intracoronary blood flow reserve. In addition, we found that both microvascular components—that is, recruitable and nonrecruitable microvessels—contribute to the long-term increase in microvascular functional reserve with no discernible change in blood volume distribution among the microvascular components, despite changes in microvascular reactivity.

Long-term Changes at Rest
During the follow-up period, blood pressures at rest tended to increase and heart rates tended to decrease; this is consistent with expected body weight–related changes in porcine cardiovascular hemodynamics (12). Epicardial coronary artery diameters increased with a concomitant trend toward increased intracoronary blood flow, whereas the mean APV remained unchanged. These findings are consistent with previous observations that the cross-sectional area of an epicardial coronary artery lumen is linearly related to the volume of myocardium it perfuses (1315). Thus, with more myocardial tissue to be perfused after 3 months, intracoronary blood flow through epicardial coronary vessels is expected to increase, which is also consistent with observations in children, where coronary sinus blood flow has been shown to increase linearly with LV mass (16). In contrast to epicardial flow parameters, electron-beam CT–based intramyocardial blood volume and perfusion, because they are related to myocardial mass, did not change during 3 months during resting conditions, which is consistent with the finding of fairly constant capillary and arteriolar densities throughout growth (1,1719).

Microvascular Responses to Adenosine and Long-term Changes in Microvascular Functional Reserve
As expected, adenosine induced a significant increase in Doppler US–based intracoronary blood flow and electron-beam CT–based intramyocardial blood volume and perfusion. Our data suggest that these changes are attributable to both the recruitable and nonrecruitable components. This is consistent with only about half of capillaries and arterioles being perfused during resting conditions (20), although adenosine has been shown to induce recruitment of both preterminal arterioles and capillaries in the rabbit and canine heart (21,22) and vasodilation of conducting and resistance vessels (23). Both Doppler US–based intracoronary blood flow and electron-beam CT–based intramyocardial blood volume and perfusion quantification revealed a significantly higher microvascular functional reserve in the porcine heart after 3 months compared with that at baseline. The increased microvascular functional reserve is consistent with findings by Hamaoka et al (24), who reported a significantly higher intracoronary Doppler US–based coronary flow reserve in older children compared with younger children. Buss et al (25) also observed similar changes in the rabbit heart, which, in their study, were attributable to an immature coronary responsiveness to exogenous adenosine in younger animals. The decrease in the variation of measurements during the follow-up period observed in our study may also be related to a change toward a more mature and more uniform microvascular responsiveness to exogenous adenosine among different animals. Despite the changes in microvascular functional reserve, the electron-beam CT–based blood volume–to-perfusion relationship indicates a consistent curvilinear pattern in the healthy porcine heart with a shift toward higher maximum blood volume and perfusion values after 3 months. Our data suggest that the relative distribution of recruitable (ie, primarily capillaries and preterminal arterioles) and nonrecruitable (primarily larger conducting microvessels) microvessels remains fairly constant in the normal heart. Furthermore, both the recruitable and nonrecruitable components contribute to the increased functional reserve of blood volume and perfusion after 3 months, which is suggestive of a link between preterminal arteriolar vasomotor function and capillary recruitment. The underlying mechanism that may be responsible for this regulation among these functional components, however, must still be identified.

Methodologic Considerations
Quantification of long-term changes in intramyocardial microvascular functional reserve by virtue of estimating electron-beam CT–based blood volume and perfusion was consistent with long-term changes in intracoronary Doppler US–based intracoronary blood flow. Although these indexes alone helped identify an abnormal microvascular functional reserve in low-weight compared with high-weight pigs, the combined evaluation of simultaneously measured blood volume and perfusion showed that all values followed one curvilinear line that describes the blood volume–to-perfusion relationship in our normal pigs. Deviations from this pattern may allow us to differentiate normal (but functionally immature) from truly diseased myocardium, which may improve the evaluation of microvascular abnormalities in children (16,24) and during senescence (26).

We also applied a previously developed model that relates intramyocardial blood volume to perfusion to help differentiate the functional behavior of recruitable and nonrecruitable microvessels. Intramyocardial microvessels, however, are not visually resolvable with electron-beam CT. Other investigators have used more invasive techniques to directly visualize microvessels on myocardial surfaces in vivo (27,28), and these techniques could potentially be used as independent reference techniques to quantify intramyocardial blood volume distribution in response to vasoactive drugs in normal (or diseased) myocardium. Nevertheless, electron-beam CT–based quantification of blood volume distribution in the two components were similar to results obtained with other methods (29), and the functional behavioral trend of the components, as inferred from the relationship between myocardial blood volume and perfusion, is consistent with previously described effects of adenosine on coronary microvessels (23,30).

In conclusion, long-term changes in microvascular functional reserve that occur in normal porcine hearts during a period of 3 months can be quantified with electron-beam CT. Compared with these changes, the short-term variation of blood volume and perfusion measurements is relatively small, which is important for differentiating true long-term changes from the random variation of measurements. This technique may thus provide an opportunity to identify physiologically or clinically meaningful alterations in microvascular functional reserve either during a disease process or in response to therapy longitudinally in the same subject. The relationship of simultaneously measured blood volume and perfusion follows a consistent curvilinear pattern in the normal porcine heart despite body weight- or maturation-related changes in microvascular functional reserve. Deviations from this pattern may potentially be of value for differentiating normal from pathologic intramyocardial microvascular function.

Practical application: In this study, we demonstrated the feasibility of using electron-beam CT–based indicator dilution techniques to longitudinally quantify long-term changes in microvascular functional reserve in the normal porcine heart. Evaluation of long-term microvascular functional changes may be extended to quantify the effect of physiologic stimuli such as aging and exercise on normal coronary microvascular functional reserve (17,31). The approach may be of value in the assessment of long-term microvascular alterations in abnormalities that affect intramyocardial microvessels (eg, diabetes mellitus, arterial hypertension, hypercholesterolemia, or cardiomyopathies) (2). It may further be used to monitor the efficacy of therapeutic strategies that target the coronary microcirculation such as transmyocardial laser revascularization (3) or gene therapy to induce myocardial angiogenesis in ischemic myocardium (4). Simultaneous quantification of intramyocardial blood volume and perfusion may be applicable in humans, too, by using either electron-beam CT or other minimally invasive techniques that provide simultaneous estimates of blood volume and perfusion (32,33). Finally, our findings are consistent with previously reported changes in microvascular functional reserve that occur with maturation of the heart (24,25). The results of this study thus support the concept (24,26,34) that assessment of coronary functional reserve may require adjustments for age and body weight.


    ACKNOWLEDGMENTS
 
We thank Patricia E. Lund and Kelly A. Swiggum for their expert technical assistance with the experiments. We also acknowledge the help and assistance from the radiology technical staff operating the electron-beam CT scanner. We also thank Julie M. Patterson, who made the illustrations, and Delories C. Darling for their help with preparing the manuscript. Kelly A. Swiggum, who was a dedicated and amiable expert member of our team throughout the study, died unexpectedly in May 2000.


    FOOTNOTES
 
Abbreviations: ANOVA = analysis of variance, APV = average peak velocity, LAD = left anterior descending artery, LV = left ventricular

Author contributions: Guarantor of integrity of entire study, E.L.R.; study concepts and design, all authors; literature research, S.M., T.R.B.; experimental studies, S.M., L.O.L., K.A.S., P.E.L.; data acquisition, S.M., T.R.B.; data analysis/interpretation, all authors; statistical analysis, S.M., A.L.W., V.S.P.; manuscript preparation and definition of intellectual content, all authors; manuscript editing, D.C.D., J.M.P.; manuscript revision/review and final version approval, all authors.


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