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Am J Physiol Heart Circ Physiol 277: H2353-H2362, 1999;
0363-6135/99 $5.00
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Vol. 277, Issue 6, H2353-H2362, December 1999

Intramyocardial vascular volume distribution studied by synchrotron radiation-excited X-ray fluorescence

Yukiko Nakajima1, Noboru Akizuki1, Yoko Kimura1, Hiroki Kohguchi1, Akira Tanaka1, Mitsuaki Chujo1, Naoichiro Hattan1, Yoshiro Shinozaki1, Atsuo Iida2, Shunnosuke Handa1, Hiroe Nakazawa1, and Hidezo Mori1

1 Department of Physiology, Tokai University School of Medicine, Bohseidai, Isehara, Kanagawa 259-1193; and 2 Photon Factory, Institute of Materials Structures Science, Ko-Energy Kasokuki Kenkyukiko, Tsukuba 305-0801, Japan


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

We evaluated the vascular volume distribution with fine resolution (0.1-1.3 mg myocardial tissue) in the sagittal plane of the left ventricle by using the microsphere filling method in 21 dogs. The coronary arterial volume density in the sagittal plane did not exhibit normal distribution and was characterized by variability among the outer-to-inner layers and within the layers (+2SD/-2SD > 80 times), and the median values in the layers ranged from 4.7 to 22.9 nl/mg myocardial tissue. The fractal analysis of vascular volume revealed a self-similar nature with a fractal dimension (D value) similar to that of flow distribution (1.20 ± 0.05 and 1.24 ± 0.09 for vascular volume and flow distribution, respectively) and had a more marked variability than the flow. The correlation of the regional vascular volume between adjacent regions decreased as the distance increased. However, the correlation coefficients in the endocardial-to-epicardial direction were significantly higher than those in the anterior-to-posterior direction (P < 0.05 by paired t-test). In conclusion, we determined intramyocardial vascular volume density in the sagittal plane, and the distribution revealed considerable variability, self-similarity, and asymmetry in the correlation among the adjacent regions. These observations could be related to the characteristics of the intramural coronary vascular network.

coronary artery; fractal analysis; microcirculation; microsphere


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

BASSINGTHWAIGHTE ET AL. (3, 20) initially reported a self-similarity, and Austin et al. (1) a profound spatial heterogeneity and local continuity, in coronary blood flow distribution using radioactive microspheres and/or molecular tracer methods. Mori et al. (14), using heavy element-loaded microspheres and synchrotron radiation-excited X-ray fluorescence (SR-XF) spectrometry, and Matsumoto et al. (13), using a molecular tracer method and precise detecting system (imaging plate), expanded these observations by achieving a finer resolution. The coronary blood flow distribution is dependent on the anatomic features of vessels, extravascular compression, and vascular tone (2, 9). Regional vascular volume reflects the local resistance to coronary flow (5). The coronary vascular volumes at systole and diastole were analyzed histologically (11) and by using albumin labeled with radioactive tracers (7). Penetrating transmural arteries (PTAs) penetrate the heart wall toward the inner layers along the sagittal plane and are considered to be a crucial vascular segment for supplying blood to the subendocardial muscle (6). Thus flow and vascular volume distribution in the sagittal plane of the left ventricle (LV) should be analyzed. However, in the previous studies described above, neither flow nor vascular volume distribution has been evaluated on the horizontal myocardial surfaces, except in the report by Mori et al. (14), which described a flow distribution analysis in the sagittal plane of the LV.

In the present study, we analyzed the variability within and between the outer and inner layers, self-similarity, and local continuity in intramyocardial vascular volume distribution in the sagittal myocardial plane using the microsphere filling method. In the present method, the analytical range of the vascular size can be altered by applying microspheres of different sizes (15 and 60 µm) to plug vessels, and the relative vascular volume can be converted to an absolute value (µl/mg tissue) by applying a particular calibration method.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

General Surgical Procedures and Experimental Protocol

Twenty-one dogs weighing 7.1-22.0 kg were anesthetized by intravenous administration of pentobarbital sodium (30 mg/kg), and ventilation was maintained by an artificial respirator via an endotracheal tube. We set the tidal volume in the range of 15-20 ml/kg, the respiration rate at 15-25 breaths/min, and the oxygen administration rate at 1-4 l/min to adjust the arterial oxygen and carbon dioxide levels to 100-150 and 30-40 mmHg, respectively. We added sodium bicarbonate intravenously as needed to maintain the pH of the arterial blood at 7.35-7.45.

Analysis of intramyocardial vascular volume distribution (15 dogs). We analyzed the intramyocardial vascular (IMV) volume distribution in 12 dogs and performed a preliminary protocol to validate the present method (microsphere filling method) in the remaining 3 dogs. In one of the three dogs used for validation of the microsphere filling method, we determined whether our SR-XF spectrometry (14) could detect a single microsphere with a diameter of 15 µm in myocardial tissue, to test whether the present method had adequate sensitivity to detect coronary arterioles with a diameter of 15 µm in tissue. We injected 1 × 106 zirconium-loaded microspheres into the left atrium in the dog. After the dog was killed, the heart removed, and the LV free wall fixed in Formalin solution for several days, we took a portion of the free wall for two-dimensional (2-D) XF mapping as described below. For the validation protocol in the second and third dogs, the left circumflex coronary artery (LCX) was plugged with 3 and 5 × 108 iodide-loaded microspheres (15 µm). We then compared the 2-D XF mapping images of thin myocardial slices (20-30 µm) with the microscopic images (resolution level <5 µm) of coronary arterioles and the angiographic images of intramyocardial and epicardial coronary arteries (resolution level 30 µm) taken with the SR angiographic system (14, 16) to assess the completeness of microsphere filling of the intramyocardial coronary arterial trees. With this angiographic system, monochromatic SR with an energy level just above the K-absorption (33.30 keV) edge of iodine was used as an X-ray source, and a high-definition video system with a camera having a high-sensitivity tube was coupled with a fluorescent screen as a detector. This system allowed depiction of small vessels with diameters as small as 50 µm (16, 17).

In the 12 dogs used for vascular volume analysis, intramyocardial and epicardial coronary arteries were filled retrogradely with microspheres (15 µm or 60 µm in diameter) and loaded with a heavy element (zirconium or bromide), and the intramyocardial microsphere distribution was analyzed by XF spectrometry using monochromatic SR as an excitation source. Heavy elemental activity of microspheres plugging the coronary arteries is considered to be an index of the vascular volume of intramural coronary vessels, of which the smallest vascular diameter for the measurement was determined by the size of microsphere used. We performed a left thoracotomy and pericardiotomy. A bypass was set between the left subclavian artery and the LCX. Coronary blood flow was monitored by an electromagnetic flowmeter preset in the bypass. We injected bromide- or zirconium-loaded microspheres with diameters of 15 µm (8 dogs) or 60 µm (4 dogs) into the LCX. The total amount of injected microspheres was 3-5 × 108 for 15-µm microspheres and 1 × 107 for 60-µm microspheres. These microsphere numbers, divided into >10 doses, were injected via the bypass. In the four dogs, 15-µm microspheres were injected after complete cardiac arrest was induced with intravenous pentobarbital and potassium chloride (neither vascular tonus nor myocardial compression). In the other eight dogs (4 dogs injected with 15-µm microspheres and the remaining 4 dogs with 60-µm microspheres), the initial injection was started while the heart was beating. However, within the initial three doses, ventricular fibrillation developed. The remaining doses were injected under the condition of cardiac arrest. Several milliliters of saline were injected between each dose to plug vessels without space.

Analysis of local myocardial flow distribution. In six dogs we performed a left thoracotomy and pericardiotomy and placed a catheter in the left atrium (LA) via the appendage and another catheter to monitor blood pressure (BP) in the descending aorta. Dual microspheres (Sekisui Plastic, Tokyo, Japan) loaded with yttrium or zirconium and with a diameter of 15 µm (1 × 107 microspheres for each) (13) were stirred in 0.1% SDS solution and injected slowly into the LA via the catheter for 2 min. The injection of microspheres was repeated three to four times at 2-min intervals (total amount of each microsphere: 3-4 × 107). Mori et al. (15) previously confirmed that this amount of dual microspheres could be injected into the LA without causing a marked hemodynamic effect.

Sample Preparation

In the dog used for detecting a single microsphere, the flattened LV free wall (1 cm × 1 cm × 2 mm) was used for XF spectrometry. In the dog used for validating microsphere filling of the coronary arterioles, a rectangular block (1 × 1 × 2 mm) was obtained from the midportion of the LV free wall. Several thin samples of 20-30 µm in thickness were then obtained from the block and used for microscopic observation, after which 2-D XF mapping was applied to the same samples. In the dog used for validating microsphere (I labeled) filling of larger coronary arterial segments, the heart was fixed in Formalin solution. Two weeks later, radiography using monochromatic SR (33.3 keV energy) was applied. This system allows visualization of coronary vessels with diameters as small as 50 µm. In the 12 dogs used for analysis of IMV volume distribution in the sagittal myocardial plane, the hearts were excised and kept in 10% Formalin solution for 1 wk. After the week of fixation, we dissected out a rectangular block (1 × 1 × 2 cm in endocardial-to-epicardial, circumferential, and base-to-apex directions, respectively) from the LV free wall. Care was taken to include the first or second marginal branches of the LCX along the base-to-apex direction on the epicardial surface in these blocks. We divided this block into several thin sagittal slices with a thickness of 1-2 mm. All of these slices included a cross-sectioned marginal branch at the top and the endocardial surface at the bottom. We selected three to five contiguous myocardial slices from each heart to be used as samples for XF spectrometry (see Fig. 3B in Ref. 14). It was thought that small intramyocardial vessels with a diameter of >15 µm would be plugged with microspheres of 15 µm in diameter (8 dogs). In four of the eight dogs, an epicardial surface slice of 1 mm in thickness was prepared in addition to three sagittal slices to obtain a calibration factor for the conversion of relative to absolute vascular volume. In these epicardial slices, microscopic photographs were taken to calculate the segmental vascular volume of epicardial vessels with a diameter of 300-600 µm by using a cylindrical model. After the determination of XF, the activity of the same segments gave us a calibration factor for the conversion of relative to absolute vascular volume density (nl/mg tissue). In the remaining four dogs, in which microspheres with a diameter of 60 µm were plugging the vessels, the self-similarity in the coronary vessels with a diameter of >= 60 µm (coronary arterial tree without microcirculatory segments of <60 µm in vessel diameter) was analyzed. According to the data by Kassab et al. (12), coronary arterial segments with a diameter of <65 µm have more critical pressure drop and flow reduction than the larger segments.

We killed the six dogs used for analysis of the local myocardial flow distribution on the short axial plane of the LV with an overdose of intravenous pentobarbital, excised the hearts, and sliced them into short axial rings with a thickness of 5-6 mm from base to apex. We removed the papillary muscles and weighed each slice. We selected the contiguous basal and middle short axial slices of the LV free wall for SR-XF spectrometry. We flattened the short axial slices to 1.5-2.5 mm in thickness with two acrylic plates while keeping them in 10% Formalin solution for several days. We divided each short axial ring into two to three segments (anterior, mid, and posterior regions) and weighed them for XF spectrometry (14).

XF Spectrometry Using Monochromatic SR

SR-XF spectrometry was carried out as described in our previous report (14). We performed 2-D XF mapping and quantified the peak heights of the elemental XF values, Compton scattering, and elastic scattering from each myocardial spot. The elemental XF values of the heavy element-loaded microspheres plugging the vessels reflect the vascular volume in the measured spots. However, the measured XF values were not normalized for the precise spot weight. In addition, the intensity of the primary monochromatic X-ray also affects the efficiency of the XF values, because the intensity of the primary monochromatic X-ray decays slowly (time constant of ~90 h). Spectrometry of the XF values can give us information concerning the spot weight and primary X-ray intensity; the peak height of Compton scattering linearly reflects the evoked myocardial mass, and that of elastic scattering gives the intensity of the primary monochromatic X-ray. The XF counts from individual myocardial spots were corrected by the mean of the Compton scattering intensity divided by elastic scattering intensity (correction factor in Eq. 1), and then the percent mass-corrected XF (relative regional vascular volume or flow) was calculated using Eq. 2.
Mass-corrected XF = measured XF of individual point × (mean of correction factors of all regions/correction

 factor of individual region) (1)

Relative regional vascular volume or flow (%) = (mass-corrected local XF of individual region × 100)/

weighed mean of mass-corrected XF values of all regions (2)

Data Analysis

IMV volume distribution. We performed two analyses of the obtained data. First, we observed the relative vascular volume distribution (mass-corrected XF values) from the outer to the inner layers (epicardial, outer middle, inner middle, and endocardial) in the sagittal myocardial plane and calculated their logarithmic values. We described the logarithmic mass-corrected XF values of the four layers using a histogram and compared their parameters (mean value and standard deviation of the populations) in eight dogs. We applied this procedure to the results with both 15-µm (4 dogs, 16 slices) and 60-µm microspheres (4 dogs, 15 slices) to assess whether the vascular volume of arterioles with a diameter of 15 or 60 µm alters the intramyocardial vascular distribution. In the remaining four dogs with 15-µm microspheres (12 slices), the relative distribution of vascular volume was converted to the absolute value (nl/mg tissue) using a calibration slice from each of the previous four dogs, and the same analysis as that used for relative distribution was applied.

Fractal analysis. To perform a fractal analysis in the sagittal myocardial plane, we created the mass range by regularly aggregating the adjacent spots. As summarized in Table 1, the mean mass of individual spots ranged from 0.11 to 1.06 mg and the number of spots on each slice ranged from 400 to 4,160. The stochastic error of measurement can be calculated from the following equations and used as an alternative for measurement error (14)
(Stochastic error)<SUP>2</SUP> = (Poisson distribution error)<SUP>2</SUP> + (Poisson counting error)<SUP>2</SUP> (3)

Distribution error = 1/<RAD><RCD><IT>n</IT><SUB>d</SUB></RCD></RAD> (4)
where nd is the number of microspheres in the measured mass, and
Counting error = 1/<RAD><RCD><IT>n</IT><SUB>c</SUB></RCD></RAD> (5)
where nc is the number of XF values counted in the measured mass. To obtain the spatial relative dispersion (RDs; error-corrected coefficient of variation) for IMV volume, we used Eq. 6
(RD<SUB>s</SUB>)<SUP>2</SUP> = (RD<SUB>obs</SUB>)<SUP>2</SUP> − (stochastic error)<SUP>2</SUP> (6)
where RDobs is the standard deviation of mass-corrected XF values divided by the mean, in each mass. Total measurement error (stochastic error) was 5.23 ± 1.28% for 15-µm microspheres and 14.26 ± 2.86% for 60-µm microspheres. We then plotted RDs against the mass (weight) in log scale for each myocardial slice (43 slices, 12 dogs). We calculated the linear regression slope for the plots and obtained the fractal dimension (D) value from Eq. 7 for each slice
RD(<IT>m</IT>) = RD(<IT>m</IT><SUB>ref</SUB>) × (<IT>m</IT>/<IT>m</IT><SUB>ref</SUB>)<SUP>1−<IT>D</IT></SUP> (7)
where m is the measured mass, mref is the reference mass (1 g), and 1 - D is the slope of the regression line. Fractal analysis for coronary blood flow distribution was performed by exactly the same method as described in our previous report (14). The mass of individual spots ranged from 4.0 to 10.0 mg, the number of spots was 100 in all slices, and the number of spots in an aggregated mass increased to 100. The fractal D value was calculated for each dog (3-4 slices each).

                              
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Table 1.   Experimental summary of volume and flow distribution analyses

Correlation analysis. We compared local correlation in IMV volume between the endocardial-to-epicardial direction and the circumferential direction. The method was essentially same as that used for the correlation analysis of regional blood flow described in our previous report (14). We applied linear correlation analysis to the vascular volume of the paired myocardial regions that were the same distance apart in the anterior-to-posterior (circumferential or horizontal) direction (unit distance <= 10, distance range from 250 µm to 2.5 mm) and in the epicardial to endocardial (sagittal) direction (unit distance <= 10, distance range from 250 µm to 2.5 mm). We then plotted the correlation coefficients of the pair volumes against the distance.

All animal studies were performed following "The Guide for the Care and Use of Laboratory Animals, Tokai University School of Medicine."


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

The computer graphic image shown in Fig. 1A was constructed from a 2-D distribution of XF activity of zirconium in myocardial tissue with a thickness of 2 mm (a scanning area of 40 × 40 spots, spot size of 8 × 8 µm). In a spot near the center of the scanning area, the strongest positive zirconium fluorescence was observed associated with weaker fluorescence in the adjacent spots. This could be recognized as a single zirconium-labeled microsphere in the myocardial tissue due to the similarity in size (15 µm). In Fig. 1B, microscopic and computer graphic (XF mapping) images of an arteriole filled with iodide-loaded microspheres are shown for comparison. In the microscopic image, a series of microspheres is aligned along the vascular wall. This indicates that the diameter of the vascular segment is ~15 µm. The computer graphic images show similar arteriolar structural features. In the angiographic images shown in Fig. 1C, the epicardial coronary arterial branches with diameters of a few millimeters and the PTAs with diameters of 100-500 µm can be visualized. There was no inhomogeneity within any of the vascular images. The results shown in Fig. 1 confirm that an intramyocardial arterial system with a diameter range of 15 µm to several hundred micrometers can be filled thoroughly with microspheres and that their heavy elemental activity can be analyzed for determination of IMV volume.


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Fig. 1.   Results of validation protocol. A: computer graphic image of single microsphere detected by X-ray fluorescence (XF) spectrometry. B: microscopic image (right) of an arteriole filled with iodide-loaded microspheres (surrounded by blue outline, detailed in inset) and its computer graphic image (left) created by distribution of heavy elemental activity. C: marginal branches (arrows) and their penetrating transmural arteries (arrowheads). Radiographic image was created by synchrotron radiation microangiography. Coronary arterial tree was filled with iodide-loaded microspheres 15 µm in diameter. Note that there is no inhomogeneity of iodide contrast in these vascular images.

Vascular volume distributions from the outer to inner layers in the sagittal myocardial plane revealed quite a skewed distribution in the normal scale (Fig. 2A, left); in contrast, the distribution returned to normal in the log scale (Fig. 2A, right). As shown in Table 2, the median values of absolute vascular density (cumulative data from 3 myocardial slices) ranged from 4.7 to 22.9 nl/mg tissue (0.47-2.29 vol%, assuming the relative density of myocardial tissue as 1.0). The distribution of the high-density regions (>90% in percentile) was contiguous and treelike in shape, and the density decreased in general from the epicardial to the endocardial direction in each slice. Such vascular density distribution could be recognized as the PTAs and their major branches. These regions are responsible for the large variability of the whole vascular volume distribution (mean coefficient of variation: 153 ± 15% in 4 dogs), and the coefficient of variation decreased to 99 ± 33% in the remaining <90% regions in percentile. The relative vascular volume (log XF count) distribution analyzed under the arrested, and the initially beating and finally arrested conditions (beating-arrested) measured with 15- and 60-µm microspheres revealed a normal distribution in the log scale in all of the epicardial, mid, and endocardial regions (Fig. 2B). The differences in relative XF activity (relative vascular volume) were statistically significant for all pairs of layers among the four layers in all 12 dogs (Table 3). The ratios of the epicardial XF intensity in the outer-middle, inner-middle, and endocardial layers ranged from 58% (dog no. 4, outer middle) to 96% (dog no. 3, outer middle) in the arrested hearts, from 94.6% (dog no. 8, outer middle) to 117.9% (dog no. 5, endocardial) in the beating-arrested hearts with 15-µm microspheres, and from 80.1% (dog no. 9, endocardial) to 113.9% (dog no. 12, endocardial) with 60-µm microspheres. The epicardial vascular density was higher than the endocardial values in all four arrested hearts and in two of four and three of four beating-arrested hearts with 15- and 60-µm microspheres, respectively.



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Fig. 2.   Distributions of vascular volume from outer and inner layers shown as histograms. A: absolute vascular density distribution (left, normal scale) and relative density distribution (right, log scale) from an arrested heart. B: relative distributions measured with 15-µm (left) and 60-µm microspheres (right) from a beating-arrested heart.


                              
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Table 2.   Summary of absolute vascular volume


                              
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Table 3.   Summary of relative vascular volume

Fractal analysis in the sagittal myocardial plane confirmed that the IMV volume distribution has self-similarity (fractal nature) and that its fractal dimension is almost identical to or slightly smaller than that of the myocardial blood flow distribution at baseline (Fig. 3). The plotting of the relative dispersion of regional vascular volume measured against mass in the log scale revealed a linear relationship with the slope (a) of the regression line being -0.20 ± 0.05 (mean values) in the arrested hearts and -0.22 ± 0.06 in the beating-arrested hearts. The fractal D values defined by 1 - a (1.20 ± 0.05 and 1.22 ± 0.06, Table 4) were almost identical to or slightly lower than that of the analysis of relative dispersion of the regional myocardial flow (1.24 ± 0.09, n = 6 dogs). Elimination of the vascular volume of microcirculatory vessels with diameters of 15-60 µm from the measurements did not affect the fractal D value. As shown in Table 4, the vascular volume distribution measured with 60-µm microspheres yielded results (D value: 1.23 ± 0.04) almost identical to those measured with 15-µm microspheres. Any relative dispersions of the vascular volume were larger than those of the myocardial flow, as indicated representatively by the RDs at 10-mg mass in Fig. 3 (50-200% in volume and 20-30% in flow). The variability of RDs between the myocardial slices or among the dogs was larger in the beating-arrested hearts than in the arrested hearts, although there were no differences in the slopes of the fractal regression lines (Fig. 3, B-D).


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Fig. 3.   Fractal analyses of myocardial blood flow in beating hearts (A; n = 6 dogs), intramyocardial vascular volume in arrested hearts (B; n = 4 dogs), and intramyocardial vascular volume in beating-arrested hearts as measured with 15-µm (C; n = 4 dogs) or 60-µm microspheres (D; n = 4 dogs). In A, the mass-flow dispersion relation was analyzed for each dog; in B-D, the mass-intramyocardial vascular (IMV) volume dispersion (%) was analyzed for each myocardial slice. RD, relative dispersion.


                              
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Table 4.   Summary of fractal analysis

As shown in Fig. 4, the correlation coefficient of the paired volume measured with 15-µm microspheres in the sagittal myocardial plane was the highest for the adjacent paired regions with a unit (250 µm) distance and became lower as the distance between the paired regions increased. The degree of correlation coefficient reduction along the endocardial-to-epicardial (transmural) direction was less marked than that in the anterior-to-posterior (horizontal) direction (Fig. 4). The correlation coefficient in the transmural direction was kept at a higher level than that along the horizontal direction. The correlation coefficient decreased to <0.2 by the second (for arrested hearts) or fourth (for beating-arrested hearts) unit distance in the horizontal direction, whereas in the transmural direction the correlation coefficient was maintained >0.2 to the eighth distance (for both arrested and beating-arrested hearts). The correlation coefficients in the transmural direction were significantly higher than those in the horizontal direction at the first to the tenth and the first to the eighth unit distances of the arrested and beating-arrested hearts, respectively (P < 0.05 by paired t-test).


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Fig. 4.   Results of correlation analysis from arrested hearts (A) and beating-arrested hearts (B). Correlation coefficients were plotted against unit distance. * Correlation coefficients at unit distances are significantly higher along transmural (Trans) than horizontal (Horizon) direction (P < 0.05, paired t-test). dagger  Significant difference between arrested and beating-arrested hearts (P < 0.05).


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

IMV volume in the sagittal myocardial plane could be analyzed by applying SR-XF spectrometry and the microsphere filling method (Fig. 1) with a resolution of <1.0 mg. The present analysis demonstrated the following new findings. IMV volume density was variable within and among the layers, and its median value ranged from 4.7 to 22.9 nl/mg myocardial tissue (or 0.47-2.29 vol%). Coexistence of arterioles and major segments (PTAs and their branches) in the sagittal slices could be considered as one of the reasons for the extreme variability. The IMV volume density had a fractal nature with almost the same fractal D values as the local myocardial blood flow (Fig. 3 and Table 4). The fractal D value was not modified by the microsphere size (60 µm vs. 15 µm) or the conditions under which the microsphere injection was started (arrested or beating-arrested). There was a closer local continuity in the endocardial-to-epicardial than in the anterior-to-posterior direction (Fig. 4). These observations could be related to characteristics of the intramural coronary vascular network.

Consideration of Model

Our method of assessing the IMV volume distribution has several differences from those of previous reports (7, 11, 19, 21, 22). The major advantages of this method are that the analysis was done in the sagittal plane of the LV free wall, that the relative volume distribution can be converted to the absolute value by measuring epicardial vessels with known volume, and that the analytic range with reference to the vascular size can be altered by applying different microsphere sizes. The region selected for the measurement was confined to a relatively small portion of the LV free wall (<= 4.65 g in each dog) as shown in Table 1. In addition, the vascular volume measurement was confined to the arterial system with a diameter as low as 15 µm. In other words, this method does not allow assessment of capillary vessels, venous vessels, or arterioles with a diameter <15 µm. We injected a certain amount of microspheres into the dogs under arrested conditions with intravenous KCl or under beating-arrested heart conditions. In the latter group, microsphere injection of less than one-third of the total amount caused ventricular fibrillation followed by cardiac standstill in 1 min, and the remaining two-thirds or more were injected under arrested heart conditions. Concerning the completeness of microsphere filling of the coronary vascular network, we performed a validation protocol as described in Fig. 1. We eliminated the XF activities from the epicardial rims (0.5-1.0 mm in width) from the analysis. Therefore, our analysis was confined to the activities of intramural vessels. In other words, the results were not affected by the activities of the epicardial coronary branches. We minimized the methodological error for volume measurement (5.23 ± 1.28% for the beating-arrested hearts with 15-µm microspheres), defined as the square of the distribution error plus the square of the counting error, compared with those of flow measurement (10.8 ± 2.4%) in this study. The Poisson distribution error was small (3.17 ± 1.27%), because there was a large number of microspheres in each measurement spot. The counting error was also adequately minimized (2.90 ± 1.08%), because XF counting per spot was substantial. The high-sensitivity SR-excited system (14, 15) allowed us to obtain a large number of regional activities (400-4,160 spots/slice) of XF with a relatively short counting time per spot (1-5 s) and substantial XF activity per spot.

IMV Distribution

The present study demonstrated IMV volume density in absolute values (nl/mg tissue) and its variability within the layers and among the layers (Fig. 2 and Table 2). The absolute vascular density on a sagittal slice ranged from 4.7 to 22.9 nl/mg tissue (0.47-2.29 vol%). The coronary arterial volume density (20 µl/g myocardial tissue) calculated by Kassab et al. (12), which is based on their morphometric analysis, is close to the upper limit of the present vascular density. Kassab et al. measured the whole coronary arterial system from the left main coronary artery to the capillaries; in contrast, our measurement was confined from the PTAs to arterioles with a diameter of 15 µm. The contiguous high-density regions (>90% in percentile) on the slices probably reflected PTAs and their branches and are responsible for the large variability (153% in mean CV) of the density distribution. The differences in relative IMV volume were statistically significant for every pair of the four layers in all eight dogs. There have been numerous studies on IMV volume using direct morphometric or indirect microsphere detecting methods. However, the results were variable. Judd and Levy (11) and Goto et al. (7) reported that total volume was greater in the epicardial than in the endocardial layers of rat and rabbit hearts, respectively. Hyde and Buss (10) found no transmural gradient of the intramyocardial blood volume in canine hearts. Wusten et al. (22) and Weiss and Conway (21) found a significant transmural gradient in arterial plus arteriolar volume, favoring the subendocardium, using rabbits and dogs, respectively. One noteworthy point in this study is that we measured only small myocardial regions of the heart (measured total mass of 0.63-4.65 g for each dog) in both the analysis with 60-µm microspheres and that with 15-µm microspheres, but not in the whole heart. However, we found a profound heterogeneity of IMV volume even in the small regions.

Fractal Analysis

The present fractal distribution of the IMV volume in the sagittal plane of the LV free wall indicated that self-similarity in vascular branching is maintained throughout the intramyocardial coronary artery system down to the microcirculatory level (15-µm vessel diameter). The fractal nature of the myocardial blood flow distribution was initially reported by Bassing-thwaighte and colleagues (3, 4, 8) and then extended by Mori et al. (14) to a smaller region with an individual spot size as small as 2.5 mg using XF spectrometry. Matsumoto et al. (13) achieved the finest resolution by using a molecular tracer and a precise detecting system (imaging plate). The present report is the first study directly describing the fractal nature of the intramyocardial vascular volume distribution. The fractal D value for the vascular volume distribution (1.20 ± 0.05 and 1.22 ± 0.06 for beating-arrested hearts in Table 4) was almost identical to that for the blood flow distribution (1.24 ± 0.09). VanBavel and Spaan (19) and Bassingthwaighte et al. (4) initially reported that a fractal dichotomous branching network model correlated well with flow distribution in baboons and sheep and obtained a similar fractal value (fractal dimension of 1.16-1.22). Recently, Tanaka et al. (18) reported that self-similarity in diameter reduction, as for branching, was almost identical between the intramural and epicardial coronary arterial networks. To evaluate the effects of vascular tonus and/or extravascular compression (remaining 2 of the 3 major determinants of coronary flow) on the complexity in the fractal baseline flow, fractal analysis of flow measured under lidocaine or adenosine administration may be required in the future.

In our data, the variability in the vascular volume was more marked than that of the tissue flow (compare RDs at 10 mg in Fig. 3) as described in the report by Kassab et al. (12). They calculated that the variability of blood volume distribution in the coronary arterial segments below arterioles with a diameter of 17 µm was >100% in terms of the coefficient of variation; in contrast, the variability at 1-mg mass in the blood volume distribution in the present study was much more (log 2.7; ~500%), as shown in Table 4. This difference seems to be related, at least in part, to the coexistence of arterioles and larger vascular segments such as the PTAs and their major branches in a small sample region, as discussed previously.

Local Correlation of IMV

The local correlation analysis in the sagittal myocardial plane demonstrated that the local vascular volume had a stronger local correlation in the transmural than in the horizontal direction, or, in other words, poorer local continuity of vascular volume (local resistance) distribution in the horizontal direction. Recently, Tanaka et al. (18) demonstrated that the reduction ratio of vascular diameter (daughter/mother) was much smaller at the junction of the PTAs (daughter segments) and their mother segments of the epicardial coronary arteries than those at branching points within the intramural and epicardial coronary arterial systems. Furthermore, the diameter change in the proximal segments of PTAs did not relate to the order of branching off from the epicardial coronary arteries. Tanaka's observation explains the results in the present correlation analysis; that is, the lack of relation between the PTA size and the order of sequence contributes to poor correlation in the horizontal direction. Self-similarity in diameter reduction as for branching was maintained within the PTA system, and these arterial systems arise from the epicardial site and penetrate the heart perpendicularly toward the endocardium. These findings contribute to the higher correlation in the transmural direction. These results indicate that the intramyocardial coronary arterial system has inherently closer structures in the transmural than in the horizontal direction. In our previous report (14), a correlation analysis of myocardial blood flow showed no such difference in the transmural direction or the horizontal direction. In addition, relatively maintained local continuity of the myocardial blood flow was markedly decreased under ischemic conditions. This means that other factors add additional complexity to the myocardial flow distribution in the transmural direction while the heart is beating. Austin et al. (2) applied autocorrelation analysis in the horizontal myocardial slice in the arrested and beating hearts, the latter with and without vascular tone, and concluded that coronary vasomotor tone, without apparent regard for coronary anatomy or the mechanical effects of cardiac contraction, appears to be the sole determinant of myocardial blood flow under resting conditions. However, they did not precisely analyze autocorrelation in the sagittal plane except for the analysis among the three layers. Myocardial contraction produces retrograde flow through PTAs (17). This retrograde flow causes a variability in flow along the transmural direction (2). The closer correlation in vascular volume along the transmural direction is effective in ameliorating the contraction-dependent increase of flow variability along the direction.


    ACKNOWLEDGEMENTS

This project was approved by the National Laboratory for High Energy Physics, Tsukuba, Japan, as a joint research program (93G241, 95G113, and 96G229) and was supported by Grants-in-Aid 07557060, 07807073, 07807363, and 09670756 for Scientific Research from the Ministry of Education, Science, and Culture, Japan; JSPS-RFTF-97I00201 from The Japanese Society for the Promotion of Science; and Tokai University School of Medicine Project Research (1977).


    FOOTNOTES

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.

Address for reprint requests and other correspondence: H. Mori, Dept. of Physiology, Tokai Univ. School of Medicine, Bohseidai, Isehara, Kanagawa 259-11, Japan (E-mail: coronary{at}keyaki.cc.u-tokai.ac.jp).

Received 15 June 1998; accepted in final form 10 June 1999.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

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Am J Physiol Heart Circ Physiol 277(6):H2353-H2362
0002-9513/99 $5.00 Copyright © 1999 the American Physiological Society




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