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Published online before print October 2, 2003, 10.1148/radiol.2292020536
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(Radiology 2003;229:439-446.)
© RSNA, 2003


Experimental Studies

Contrast-enhanced US of Microcirculation of Superficially Implanted Tumors in Rats1

James E. Chomas, PhD, Rachel E. Pollard, DVM, Amy R. Sadlowski, BS, Stephen M. Griffey, PhD, Erik R. Wisner, DVM and Katherine W. Ferrara, PhD

1 From the Department of Biomedical Engineering (J.E.C., A.R.S., K.W.F.), Comparative Pathology Graduate Group (R.E.P.), Animal Resource Services (S.M.G.), and Department of Surgical and Radiological Sciences, School of Veterinary Medicine (E.R.W.), University of California, Davis, 1021 Academic Surge, Davis, CA 95616. Received May 6, 2002; revision requested July 24, 2002; final revision received February 19, 2003; accepted March 10. Address correspondence to K.W.F. (e-mail: kwferrara@ucdavis.edu).


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
PURPOSE: To determine the ability of contrast material–enhanced ultrasonography (US) to assess replenishment time in a rat kidney and adenocarcinoma tumor model.

MATERIALS AND METHODS: Mammary adenocarcinoma cells were implanted into the subcutaneous tissues of the flank of 11 rats. Resultant tumors were imaged serially with contrast-enhanced US and compared with images of the rat kidney, a highly perfused normal organ. The US acquisition and processing methods yield images of perfused tumor regions and the times required to achieve 80% replenishment. Findings at contrast-enhanced computed tomography (CT) and light microscopy of hematoxylin-eosin–stained tumor tissue were compared. Paired Student t test was performed to compare the accuracy of US with that of histologic examination and CT in the detection of viable tumor regions.

RESULTS: Replenishment of the kidney cortex microvasculature requires 1–5 seconds compared with a replenishment time of 6–14 seconds in tumors. Over the time course of tumor growth, the mean perfusion time becomes progressively longer, and a wider range of perfusion times is detected. Comparison of findings at US, CT, and histologic examination suggested that all three methods yield correlated estimates of the percentage of viable perfused tumor cells. Results of the t test suggested that the viable tumor percentages observed at US are not significantly different from those observed at CT and histologic examination (US vs CT, P = .92; US vs histologic examination, P = .94).

CONCLUSION: Repeated measurements of microvascular flow rate can be accomplished in a rat animal model with a minimally invasive technique.

© RSNA, 2003

Index terms: Angiogenesis • Breast neoplasms, US, 00.12988 • Ultrasound (US), contrast media, 00.12988


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Angiogenesis, the formation of new microvessels, has been shown to be necessary for tumor growth greater than 1–2 mm3 (1,2). Previous research was conducted to try to assess angiogenesis by observing changes in local microvascular density and flow rate. Baish et al (3) showed that microvessel density in tumors is heterogeneous, on the scale of 500 µm, generally with a higher density of vessels in the circumference of the tumor and with a lower density near the center. Increased microvessel density corresponds to metastatic disease in breast and prostate cancers, and both of these regions are candidates for ultrasonographic (US) imaging (4). Microvascular flow rate was assessed previously with laser Doppler US in optically accessible tissue; findings in these studies show the expected decrease in flow rate predicted from the tortuous architecture and increased vascular permeability. Foltz et al (5) showed that laser Doppler US velocity measurements are decreased significantly in tumor microvasculature compared with measurements in control sites. Other evidence of this decrease includes simulations of flow based on known vessel architecture and resistance by Netti et al (6); the simulations predict lower flow rates and the potential for stasis in the tumor center.

Development of a large number of angiogenic and antiangiogenic therapies has created the need for techniques that noninvasively quantify vascular flow changes in response to therapy. Methods to quantify blood volume and flow in tumors are required to assess the efficacy of biologically active chemotherapeutic agents whose mechanisms are unknown in some cases and whose response can be slow and unpredictable in human drug trials.

As a result of the low flow rate (7) and heterogeneous vascular density, the mapping of blood flow in tumors has been problematic. With the addition of contrast agents, US is sensitive to capillary-sized vessels and very low flow rates while maintaining the ability to detect morphologic information from traditional B-mode imaging (8). US contrast agents are microbubbles surrounded by a shell that reduces the rate of static diffusion. With an acoustic pulse of sufficient pressure, these microbubbles can be disrupted into a set of small fragments that can then dissolve into the surrounding plasma. The time required for the contrast agent to replenish each small volume is then estimated. In our imaging strategy, a destruction and replenishment method was used that was described in 1998, when Wei et al proposed the method for the assessment of blood velocity in the myocardium (9). Continued research has been performed in the assessment of contrast agent replenishment after acute myocardial infarction (912) and in other organs (13,14).

By using a destruction-replenishment scheme (15), we aimed to determine the ability of contrast-enhanced US to assess replenishment time in a rat kidney and adenocarcinoma tumor model.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Animal Model
All studies involving animal models were approved by the Committee on Animal Use and Care at the University of California, Davis.

Contrast agent replenishment was measured in a rat kidney and rat mammary adenocarcinoma tumor model. The tumor cell line (R3230AC, provided by Mark Dewhirst, PhD, DVM, Duke University) was surgically implanted (R.E.P.) into the left or right flank regions of 11 healthy Fischer 344 rats (weight range, 300–500 g). The rats were allowed food and water ad libitum. Before imaging, the tumors were allowed to grow until they reached a volume of 1 cm3 (approximately 28 days). Each rat was anesthetized with an inhalational anesthetic (Isoflurane; Halocarbon Products, River Edge, NJ) delivered at 2% concentration with oxygen through a nonrebreathing anesthetic delivery system. A 24-gauge 0.75-inch (1.9-cm) catheter (Insyte; Becton Dickinson, Sandy, Utah) was inserted into a tail vein for intravenous injection of a microbubble US contrast agent suspension (MP1950; Mallinckrodt, St Louis, Mo).

After the rat was anesthetized, it was placed on a heating pad to maintain body temperature and to minimize any temperature-induced changes in blood flow. Because the tumors were very close to the skin of the rat, imaging gel and a gel pad were placed on the tumor to act as a standoff so that the center of the tumor was positioned approximately 2 cm from the transducer surface. Eleven tumors were evaluated serially with the imaging protocol. Our initial sample size estimate was based on projections of the expected time for replenishment in the tumor and kidney. With worst-case estimates of 4.5 and 3.5 seconds, respectively, with a 10% SD in each measurement, {alpha} of .01, and double-sided test with power of 0.9, we calculated a sample size of greater than 10. The age of the rats in this study ranged from 12 to 24 months. We used relatively large rats for this study (mean weight, 400 g) to improve intravenous catheter access for US contrast agent administration.

US Imaging
Blood volume and velocity estimation at contrast-enhanced US is accomplished by means of detection of microbubbles as they are transported via blood vessels into a tissue of interest. These microbubbles can be destroyed with a destructive imaging mode, and the inflow of new microbubbles can then be observed with a nondestructive imaging mode. The time required for the echo intensity to reach 80% of the original intensity is estimated as a measure of blood velocity from the characteristic exponential increase of the received signal as the contrast agent returns to this region. This is termed the "replenishment time" in the remainder of this article. The imaging process required three steps: destructive imaging of the contrast agent, nondestructive imaging of the contrast agent, and estimation of parameters. The destructive imaging mode, with high pressure and low-frequency insonation, and the nondestructive imaging mode, with phase-inversion subharmonic imaging, were implemented (Elegra; Siemens Medical Systems, Issaquah, Wash).

Destructive imaging pulses generate a peak negative transmission pressure of 2.2 MPa at 3 MHz (mechanical index, 1.3). Findings in previous experimental work (15) indicate that this destructive imaging pulse will destroy all microbubbles with radii of less than 3 µm with a single ultrasonic pulse. The resting radius of the contrast agent used for this investigation is approximately Rayleigh distributed, with a mean radius of 1.0 µm, with 99% of bubbles having a radius of less than 3 µm.

We developed a nondestructive imaging mode based on subharmonic oscillations generated by means of insonification of contrast agent microbubbles at a specific frequency and amplitude. Subharmonic imaging with transmission frequency of 6 MHz and reception with a narrow bandwidth centered at 3 MHz invoked a subharmonic response from bubbles with radii of 0.5–1.5 µm. The ratio of microbubble echo amplitude to tissue echo amplitude is higher with subharmonic imaging because US does not generate subharmonic oscillations in tissue. A train of pulses with a center frequency of 6 MHz and peak negative pressure of 800 kPa (mechanical index, 0.3) was used to interrogate the flowing contrast agent, which resulted in minimal microbubble destruction. The pulse sequence includes many unevenly spaced pulse pairs over 34 seconds, with each pair including a rarefaction-first pulse and a compression-first pulse.

Imaging began 28 days from implantation of the tumor and was performed at least once a week or until either the 48th day from implantation or the tumor became too large or ulcerated to continue observation of the animal. The 48-day upper boundary was established on the basis of development of ulceration around this time. From experience, we knew that most tumors will ulcerate by 50 days, and continuation of the study beyond the point where tumors ulcerate is difficult technically and involves subjecting the rats to unnecessary pain and suffering. Forty-eight days was chosen as the longest time point at which most tumors would have an intact skin surface. The tumors were measured (R.E.P., J.E.C.) in three perpendicular axes by means of imaging of the largest extent of each axis and measurement of the length with the caliper tool on the US scanner. Both investigators measured all tumors independently and agreed on the final result. Tumor volume was estimated from three perpendicular axes of the tumor by means of a prolate ellipsoid method: [(length x width x height){pi}/6].

Contrast agent microbubbles were injected continuously into the tail vein catheter (R.E.P.) at a rate of 10 mL/h by using a syringe pump. The contrast agent bubbles were diluted into saline at a concentration of 130 µL of contrast agent to 1 mL of saline. Approximately 2 minutes after the start of contrast agent injection, the contrast agent concentration approached a uniform distribution, and the imaging sequence was applied. The full imaging sequence required up to 34 seconds for each replenishment estimate; typically, images were obtained with two to three sequences for each imaging plane on the tumor. Replenishment imaging in the kidney was performed with a faster imaging sequence, which lasted 16 seconds, to adequately sample the rapid influx of contrast agent in the kidney. Immediately after completion of the imaging sequence, the syringe pump was stopped. The total dosage of contrast agent was approximately 100 µL for a typical experiment, and the total time of observation was usually less than 15 minutes.

Replenishment Time and Integrated Contrast Enhancement
The replenishment time of contrast agents that entered the sample volume was estimated on the basis of an increasing exponential signal model, where the parameter ß is the exponential time constant. The echo from the destructive pulse was not used in the estimation. The signals from the remaining pulse pairs were used. First, the two echoes in each pair were summed. The result of the first sum was subtracted from all subsequent sums to yield signal with a high signal-to-noise ratio for contrast agent to tissue. This summation and subtraction reduced the tissue echo amplitude compared with the contrast agent echoes. The resultant signal amplitude was set to zero in pixels in which the signal amplitude increased by less than a threshold value over the pulse train. The threshold was set to eliminate signals in the surrounding skin and muscle. The replenishment time (in seconds) was then estimated for this resultant train of signals, where t80% = ln(0.2)/ß. Pixels in which contrast agent echoes increased in a monotonic fashion were encoded with a color to indicate the replenishment time.

The integrated contrast agent enhancement can also be calculated over the entire transmitted pulse sequence. To calculate the integrated enhancement, echoes from tissue were rejected by means of the same schemes of subharmonic reception, summation of returns from phase-inverted pulses, and subtraction of one summed pulse pair from the remaining echoes. This integration created a map with several orders of dynamic range.

Contrast-enhanced CT
On the last day of US imaging, contrast-enhanced CT of the tumor was performed (R.E.P., E.R.W.). Contiguous 1.5-mm CT images were acquired through the entire tumor with an incremental computed tomography (CT) scanner (9800 Quick; GE Medical Systems, Milwaukee, Wis) with a small field of view and a normal filter. The CT images were evaluated, and the section that most closely resembled the US image was chosen (R.E.P.). An iodinated ionic intravenous contrast agent (Conray 400 [400 mg of iodine per milliliter]; Mallinckrodt) was administered as a 2.0-mL intravenous bolus injection. Serial static CT images were obtained at the chosen section every 2 seconds for 1 minute after the onset of contrast agent administration.

Histologic Examination
Tumors were excised on the last day of imaging and preserved in 10% formalin (R.E.P.). The tumor specimens were embedded in paraffin, and 5-µm-thick slices were cut and stained with hematoxylin-eosin to observe the morphologic features of the tumor, most notably the viable and necrotic tumor regions (S.M.G.). Slices were stained with factor VIII, and regional microvascular density was counted (S.M.G.). Slices that corresponded to the midline of the tumor were imaged with magnification of x100 and digitized for analysis of the regions of viable tissue.

Statistical Analysis
A grid (approximately 1 x 1 mm) was overlaid on the images generated at US, CT, and histologic examination to estimate the percentage of viable tumor. The spatial extent of viable tumor was quantified as the percentage of tumor that exhibited enhancement at US and CT and as the percentage of viable tumor seen at histologic examination (J.E.C., K.W.F.). Each of the investigators measured the viable tumor in all tumors independently and agreed on the final result.

Paired Student t tests were used to compare the spatial extent observed at US, CT, and histologic examination at the final time point. A value of P < .05 was considered to indicate a statistically significant difference. Paired t tests were appropriate because we were comparing the same measurement (percentage of viable tumor) assessed in one group of rats with two imaging methods (CT and US) with a standard measurement (histologic examination), with all data collected at the same time point (day 48).

The time required for replenishment was also estimated by means of histograms of this time estimate compiled for each imaging plane in the kidney and tumor studies (J.E.C., A.R.S.). In the kidney, replenishment times in the cortical and medullary regions were segregated spatially, and the mean and variance of the collection of pixels in each region were evaluated (K.W.F.). Histograms were generated (MATLAB; MathWorks, Natick, Mass) for both the kidney and tumor replenishment times.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Replenishment Time
Images acquired in a rat kidney clearly differentiated highly perfused regions associated with the interlobar and arcuate arteries and veins (reperfused in less than 0.1 second) from the more slowly perfused cortical and medullary regions of tissue (Fig 1, A). Replenishment times in the cortical and medullary regions of the kidney were spatially segregated, with the histogram that corresponded to the kidney cortex exhibiting a mean replenishment time of 3.95 seconds (Fig 1, B). The histograms of such frames, as well as frames acquired from regions within the tumors, demonstrated small changes over time due to cardiac cycle variability for fast replenishment times that correspond to arterial flow. The average error in the mean of the histogram over repeated acquisitions was small, 2.8% for measurements of flow within the kidney. The SD of the histogram of mean times for contrast agent replenishment within the kidney was 2.2 seconds.



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Figure 1. A, In vivo contrast-enhanced US image of a rat kidney (parasagittal plane), where color encodes the replenishment time estimated from the wash-in of contrast agents. Red denotes regions where contrast agents were detected but did not form a characteristic increasing exponential, purple through yellow represent the estimated replenishment time in seconds, and orange represents regions where contrast agents washed into the region in less than 0.1 second (interlobar and arcuate vessels). Bar represents 5 mm. B, Histogram of time required for replenishment in the outer ellipse of the renal cortex.

 
Replenishment times in a rat mammary adenocarcinoma were significantly slower than those observed in the rat kidney, with replenishment times that varied from less than 1 second to 34 seconds (Fig 2, A). Longer replenishment times were observed in the periphery of the tumor. Findings in a 5-µm-thick sagittal histologic slice through the midline of the tumor (Fig 2, B) suggest that the shape and size of viable tumor are similar to those in regions of contrast enhancement above the threshold (Fig 2, A). Examples of the increasing signals used to generate this figure show that the wash-in curve detected in a slowly perfused region of the tumor corresponds to a replenishment time of 25 seconds (Fig 2, C), while that in a rapidly perfused region of the tumor corresponds to a replenishment time of 2 seconds (Fig 2, D). Gray-scale images are not optimal for tissue structure because they are acquired with subharmonic imaging (transmission of 6 MHz and reception of 3 MHz).



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Figure 2. Sagittal in vivo contrast-enhanced US images of a rat mammary adenocarcinoma, where color encodes the replenishment time estimated from the wash-in of contrast agents. A, Image of the rat tumor, where red denotes regions where contrast agents were detected but did not form a characteristic increasing exponential, purple through yellow represent the estimated replenishment time in seconds, and orange represents regions where contrast agents washed into the region in less than 0.1 second (large vessels). Tumor volume is approximately 2.4 cm3. B, Histologic slice corresponds to A. (Hematoxylin-eosin stain; original magnification, x100.) C, Wash-in curve in a slowly perfused region of the tumor (c arrow in A) corresponds to replenishment time of 25 seconds. D, Wash-in curve in a rapidly perfused region of the tumor (d arrow in A) corresponds to replenishment time of 2 seconds. Bars in A and B represent 5 mm.

 
Replenishment times observed in rat tumors were heterogeneous. They can be observed in a color-coded image (Fig 3, A) and the corresponding histogram (Fig 3, D) for a tumor with a mean replenishment time of 10 seconds. Again, comparison of the replenishment time image (Fig 3, A) with a 5-µm-thick sagittal histologic slice (Fig 3, B) suggests that the imaging technique correctly identifies regions of viable tumor. For comparison, the corresponding B-mode image is provided; it shows a hypoechoic region that corresponds to the necrotic core of the tumor (Fig 3, C). Note that the US map of replenishment times provides a more accurate map of the regions of viable tumor than does the corresponding B-mode image. The histogram of replenishment times for a tumor (Fig 3, D) is broadened, the mean is shifted, and the shape of the histogram exhibits a positive skew and increased kurtosis compared with findings in the kidney (Fig 1, B).



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Figure 3. Example of replenishment time and corresponding images in a rat tumor (all images were acquired in the sagittal plane). A, Contrast-enhanced US image. B, Histologic slice corresponds to A. (Hematoxylin-eosin stain; original magnification, x100.) C, Corresponding B-mode US image. Bars in A-C represent 5 mm. D, Summary histogram for replenishment of this two-dimensional frame. Mean replenishment rate and breadth of the histogram are higher than those for normal flow, as shown in the kidney.

 
A summary of replenishment time as a function of the percentage of tumor replenishment across the 11 tumors at the final time point, as well as in the kidney, suggests that late-stage tumor replenishment time is longer than that in an early-stage tumor or in a healthy kidney (Fig 4, A). The tumors ranged in volume from 0.26 to 5.6 cm3. In eight of the 11 tumors, multiple frames were acquired in the same plane on the last imaging date, and the average error in the estimate of the replenishment time over these acquisitions is displayed as a vertical error bar. All blue points are the end points of tumor studies, and the percentage replenishment was small. The point shown in red is an earlier time point (from the image in Fig 5, B), at which time the tumor remained well perfused. The green point indicates the time required for replenishment in the kidney study for the outer ellipse (eg, regions near the arcuate and interlobular arteries of the renal cortex). The average error (shown by error bars) within each tumor and frame, averaged for all tumors and frames, is 3%.



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Figure 4. Summary of time required for replenishment as a function of the percentage perfusion within the region. Blue symbols show the final time point for data acquired from the rat tumors, red symbols show the data from an earlier time point (Fig 5, B), and green symbols show the mean value acquired from the cortex of the kidney. A, Mean replenishment time in planes averaged over several estimates, with error bars included on eight of 11 blue points. B, Breadth of replenishment times in each plane on the basis of the SD of the histogram.

 


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Figure 5. Replenishment time in a long-term study of rat mammary adenocarcinoma (all images were acquired in the sagittal plane). A, Day 28. B, Day 31. C, Day 36. D, Day 39. E, Day 42. Replenishment time ranges from less than 1 second to 34 seconds, as shown on the color bar. White bars represent 5 mm. Tumor volume increased from 0.5 to 4.6 cm3. Standard color scale was used to emphasize changes in blood velocity over time rather than the nonlinear scale used in Figures 1-3. The nonlinear scale was used to clearly differentiate flow in the major vasculature, which represents a very small range of low replenishment times.

 
The breadth of the replenishment time histograms was calculated as the SD of each histogram to demonstrate the heterogeneity of tumor flow (Fig 4, B). The colors again correspond to the end point of the study in the tumor shown in Figure 5, B, as well as in the kidney. Typical values for the histogram breadth are 7.6 seconds in the tumor (the mean for all studies) compared with 2.2 seconds in the kidney. The breadth of replenishment times decreased with increasing percentage replenishment for values higher than 40%.

Images acquired during a serial tumor study suggest an increase in mean replenishment time and replenishment heterogeneity over time (Fig 5). The tumor volume increased over the 24-day period from a volume of 0.5 cm3 on day 28 to 4.6 cm3 on day 42. A necrotic region that formed in the center of the tumor over time appeared as a dark region where contrast agent echoes were not detected. The maximum replenishment time increased with tumor growth in this long-term study, with large red regions corresponding to very long replenishment times that became apparent on days 39 and 42. The histologic slice that corresponds to Figure 5, E, is shown in Figure 2, B.

Integrated Contrast Enhancement
The morphology and size of the region with an elevated value for integrated enhancement was compared with those of the region that contained viable tumor at histologic examination and contrast-enhanced CT (Fig 6). The CT image (Fig 6, A) was acquired on day 42 and is aligned with the sagittal US image (Fig 6, D). A set of four integrated-enhancement US images is shown, with each sagittal image corresponding to a plane that cycled from the ventral side to the dorsal side of the tumor (Fig 6, BD). The corresponding histologic section for Figure 6, D, is provided in Figure 2, B. In the histologic image, the viable tissue appears purple and correlates with the midline US image in that viable tumor appears in the tumor periphery and in a small region in the center of the tumor (Fig 6, D). The morphology of the contrast-enhanced region and that of the region containing viable tumor cells are similar. Typically, a necrotic core is surrounded by a peripheral ring of viable tumor cells. The improved image resolution with US compared with that with CT is apparent where the CT image shows consistent enhancement in the periphery of the tumor while contrast-enhanced US images show highly heterogeneous enhancement throughout the four planes that were imaged. At the deepest margin of the tumor, US correctly demonstrated an inconsistent rim of viable tumor that was present in some histologic slices and not in others. The US images depict small discrete regions of perfused tissue in the center of the tumor that coincide with viable tumor observed in the histologic slice.



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Figure 6. Comparison of contrast-enhanced CT scan and integrated-enhancement US images of a rat mammary adenocarcinoma. Sagittal images were acquired on day 42 of the long-term rat tumor perfusion study. A, Contrast-enhanced CT image. B, Integrated-enhancement US image obtained approximately 8 mm ventral to the midline. C, Integrated-enhancement US image obtained approximately 5 mm ventral to the midline. D, Integrated-enhancement US image obtained from midline slice. Histologic findings are in Figure 2, B. E, Integrated-enhancement US image obtained approximately 5 mm dorsal to the midline. US images are displayed with color encoding of peak enhancement, where 3,500 is the maximum enhancement observed in all planes. Bars represent 5 mm.

 
The integrated-enhancement US image reached a maximum amplitude of 3,500 with our signal processing methods. The resultant peak magnitude in the kidney (not shown) and that in the tumor are similar.

Comparison of US, CT, and Histologic Findings
The spatial extent of viable tumor was computed in images from 11 tumors by overlaying a 1 x 1-mm grid on each image (Fig 7). A paired Student t test was performed with measurements of spatial extent from each modality acquired at the final time point, and the P value that is reported is the significance of a two-tailed hypothesized difference in the paired data. The spatial extent of perfused tissue observed at US was not significantly different from that observed at CT (P = .92) or that observed in the histologic slices (P = .94). This result suggests that the enhanced regions depicted at contrast-enhanced US correspond well with those depicted at contrast-enhanced CT and with regions of viable tissue seen in histologic slices. Within viable regions, no correlation was observed between local vessel density and US enhancement, US replenishment time, or CT enhancement.



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Figure 7. Bar graph depicts spatial extent of viable tumor in a comparison between US (black bars), CT (striped bars), and histologic (gray bars) findings. Spatial extent of viable tumor was estimated from contrast-enhanced US and CT scans and hematoxylin-eosin-stained histologic slices. US and CT images were obtained on the same day that the tumor was excised for histologic preparation. In rats 5, 6, and 10, CT images were not obtained.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Blood flow imaging based on the wash-in of a contrast agent has been described previously for US, CT, and magnetic resonance imaging. The combination of subharmonic US imaging, phase inversion imaging, and signal subtraction provides echoes with high signal-to-noise ratios from contrast agents as they move through the microvasculature. US contrast microbubbles remain confined in the vascular space as a result of their relatively large size, unlike conventional iodinated contrast agents used in CT, which ultimately distribute to the extracellular space after intravenous bolus injection as a result of diffusion across the vascular endothelium. The combined effect of the greater section thickness and the extravascular diffusion of the CT contrast agent produce reduced image resolution, with blurring of the CT images compared with contrast-enhanced US images. The US replenishment estimation technique described herein is based on the local destruction of the contrast agent, which eliminates the requirement for indicator dilution analysis. This differs from contrast-enhanced imaging with other modalities that estimate flow rate on the basis of the initial flow of contrast agent into the region by using models for the indicator dilution characteristics. Local destruction of the agent can be repeated in US studies; therefore, measurements of velocity and volume flow can be repeated rapidly, and the estimates can be viewed in real time. US estimates of replenishment time, as detailed in this article, are highly repeatable, with an average error on the order of 3%.

Comparison of findings with multiple imaging modalities with those at histologic examination is challenging because the section and slice thicknesses for each method are different, and accurate registration of the imaging planes with those tissue thicknesses is difficult. The section thickness with US is on the order of 1 mm and that with CT is 1.5 mm, whereas the slice thickness at histologic examination is 5 µm. The substantially larger section thicknesses in US and CT may lead to averaging over the elevational dimension compared with that at histologic examination; however, subjective evaluation of the US and CT images and the histologic slices in the current study demonstrates the potential to obtain correlated views.

Results of in vivo experiments show that the imaging method used in the current study is capable of mapping replenishment times in a healthy rat kidney, with resultant values that agree with previous estimates of microvascular flow rates (13). Destruction-replenishment imaging, as used in the current study, sweeps the destructive beam across an entire frame before the estimation of replenishment time in the entire region. In the kidney cortex, contrast agents must reperfuse the major arteries and flow across a substantial distance to refill the entire frame. As a result, replenishment times in the cortex of the kidney range from 1 to 5 seconds, with all regions demonstrating a rapid increase in the echo amplitude after a variable delay. We expected that a 1-mm3 US sample volume that contained capillaries would require 1–3 seconds to refill with contrast agent in a region adjacent to a major blood vessel. A delay on the order of 2 seconds is expected in regions located near the medulla and thus more than 1 mm from the terminal branches of the renal artery (the arcuate arteries) in the renal cortex (13). Histograms of replenishment times in the kidney cortex are narrow and symmetric, with an SD on the order of 2 seconds.

Results for replenishment times in tumors support those in previous studies (6) with laser Doppler US in the window chamber model. Time intervals of 6–14 seconds were required for replenishment in the tumor study in the current study, and the histogram of replenishment times in a tumor plane was broad as a result of variably and poorly perfused tissue and abnormal vascular architecture and tortuosity. A trend of increasing replenishment time with decreasing percentage replenishment was noted for values higher than 30%. For very low percentages of replenishment, the flow map was dominated by flow in small arteries rather than that in capillaries, and the mean and breadth of the replenishment time histogram decreased.

Estimation of replenishment time is simple and yields a useful measure of perfusion but may be susceptible to errors in cases where the signal model of an increasing exponential is not sufficient. Estimators that jointly estimate signal delay and rise time may decrease this error and will be investigated in future work.

The integral of the contrast agent echoes over the pulse sequence also provides an indication of the integrated flow. Given that tumor blood flow is expected to vary spatially in both velocity and volume, it may be important to evaluate measures of both quantities. Integrated US contrast enhancement demonstrated a spatial variation of three orders of magnitude in the tumor, as expected for tumor flow. Viable tumor demonstrated increased integrated contrast enhancement at US compared with that of surrounding tissue as a result of increased vascular density. Areas of contrast enhancement in the US and CT images were comparable to histologic maps of viable tumor tissue, where the cell nucleus was stained purple.

Comparison of the spatial extent of increased integrated enhancement at US and CT with viable tumor seen at histologic examination demonstrates that these estimates are correlated, with US depicting regions of perfused tissue with higher resolution and specificity for the microvasculature than those with CT. Alternative ways to analyze these data would be by means of a two-way analysis of variance or a correlation analysis. Results with both of these methods led to the same conclusion. There is good gross agreement between the measures of viable tumor among the three modalities. We are developing analytic tools to separate the effects of flow and vessel permeability on CT maps.

A combination of factors resulted in the lack of statistical correlation between regions of high microvascular density and areas with rapid or intense contrast enhancement at US. It is difficult to select a histologic slice that corresponds directly to the US imaging plane. In addition, tissue processing and fixation alters the shape of a given histologic slice, which makes acquisition of a direct spatial representation of the living tissue almost impossible. An alternative method for correlating microvascular density with blood flow depicted at US must be considered. Comparison with a standard of reference such as fluorescent or radioactive microsphere-derived blood-flow measures must also be considered.

Practical applications: Although we focused in this study on the mean replenishment time and gross comparisons with histologic findings, the images of replenishment times and enhancement morphology produced with this technique provide substantial information. Future studies are needed with use of US to monitor the replenishment time and volume of viable tumor cells over a course of therapy as a measure of therapy success. In such studies, techniques to detect and quantify vascular remodeling produced by antiangiogenic therapies may benefit from the detailed two- and three-dimensional maps produced with this technique.


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


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
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