Dataset Information

Contrast Enhanced Ultrasound Perfusion Imaging in Skeletal Muscle.

ABSTRACT: The ability to accurately evaluate skeletal muscle microvascular blood flow has broad clinical applications for understanding the regulation of skeletal muscle perfusion in health and disease states. Contrast-enhanced ultrasound (CEU) perfusion imaging, a technique originally developed to evaluate myocardial perfusion, is one of many techniques that have been applied to evaluate skeletal muscle perfusion. Among the advantages of CEU perfusion imaging of skeletal muscle is that it is rapid, safe and performed with equipment already present in most vascular medicine laboratories. The aim of this review is to discuss the use of CEU perfusion imaging in skeletal muscle. This article provides details of the protocols for CEU imaging in skeletal muscle, including two predominant methods for bolus and continuous infusion destruction-replenishment techniques. The importance of stress perfusion imaging will be highlighted, including a discussion of the methods used to produce hyperemic skeletal muscle blood flow. A broad overview of the disease states that have been studied in humans using CEU perfusion imaging of skeletal muscle will be presented including: (1) peripheral arterial disease; (2) sickle cell disease; (3) diabetes; and (4) heart failure. Finally, future applications of CEU imaging in skeletal muscle including therapeutic CEU imaging will be discussed along with technological developments needed to advance the field.

SUBMITTER: Nguyen T

PROVIDER: S-EPMC6669180 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Contrast Enhanced Ultrasound Perfusion Imaging in Skeletal Muscle.

Nguyen TheAnh T Davidson Brian P BP

Journal of cardiovascular imaging 20190520 3

The ability to accurately evaluate skeletal muscle microvascular blood flow has broad clinical applications for understanding the regulation of skeletal muscle perfusion in health and disease states. Contrast-enhanced ultrasound (CEU) perfusion imaging, a technique originally developed to evaluate myocardial perfusion, is one of many techniques that have been applied to evaluate skeletal muscle perfusion. Among the advantages of CEU perfusion imaging of skeletal muscle is that it is rapid, safe ...[more]

PMID: 31161755

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Project description:PurposeContrast-enhanced ultrasound imaging has expanded the diagnostic potential of ultrasound by enabling real-time imaging and quantification of tissue perfusion. Several perfusion models and curve fitting methods have been developed to quantify the temporal behavior of tracer signal and standardize perfusion quantification. While the least-squares approach has traditionally been applied for curve fitting, it can be inadequate for noisy and complex data. Moreover, previous research suggests that certain perfusion models may be more relevant depending on the organ or tissue imaged. We propose a multi-model framework to select the most appropriate perfusion model and curve fitting method for each diagnostic application.MethodsOur multi-model approach uses a system identification method, which estimates perfusion parameters from the model with the best fit to a given time-intensity curve. We compared current perfusion quantification methods that use a single perfusion model and curve fitting method and our proposed multi-model framework on bolus 3D dynamic contrast-enhanced ultrasound (DCE-US) in vivo images obtained in mice implanted with a colon cancer, as well as on simulation data. The quality of fit in estimating perfusion parameters was evaluated using the Spearman correlation coefficient, the coefficient of determination (R2 ), and the normalized root-mean-square error (NRMSE) to ensure that the multi-model framework finds the best perfusion model and curve fitting algorithm.ResultsOur multi-model framework outperforms conventional single perfusion model approaches with least-squares optimization, providing more robust perfusion parameter estimation. R2 and NRMSE are 0.98 and 0.18, respectively, for our proposed method. By comparison, the performance of the traditional approach is much more dependent upon the selection of the appropriate model. The R2 and NRMSE are 0.91 and 0.31, respectively.ConclusionsThe proposed multi-model framework for perfusion modeling outperforms the current approach of single perfusion modeling using least-squares optimization and more robustly estimates perfusion parameters when using empiric data labeled by an expert as the gold standard. Our technique is minimally sensitive to issues affecting the accuracy of perfusion parameter estimation, including rise time, noise, region of interest size, and frame rate. This framework could be of key utility in modeling different perfusion systems in different tissues and organs.

Project description:BackgroundThere is growing interest in limb contrast-enhanced ultrasound (CEU) perfusion imaging for the evaluation of peripheral artery disease. Because of low resting microvascular blood flow in skeletal muscle, signal enhancement during limb CEU is prohibitively low for real-time imaging. The aim of this study was to test the hypothesis that this obstacle can be overcome by intermediate- rather than low-power CEU when performed with an acoustically resilient microbubble agent.MethodsViscoelastic properties of Definity and Sonazoid were assessed by measuring bulk modulus during incremental increases in ambient pressure to 200 mm Hg. Comparison of in vivo microbubble destruction and signal enhancement at a mechanical index (MI) of 0.1 to 0.4 was performed by sequential reduction in pulsing interval from 10 to 0.05 sec during limb CEU at 7 MHz in mice and 1.8 MHz in dogs. Destruction was also assessed by broadband signal generation during passive cavitation detection. Real-time CEU perfusion imaging with destruction-replenishment was then performed at 1.8 MHz in dogs using an MI of 0.1, 0.2, or 0.3.ResultsSonazoid had a higher bulk modulus than Definity (66 ± 12 vs 29 ± 2 kPa, P = .02) and exhibited less inertial cavitation (destruction) at MIs ≥ 0.2. On in vivo CEU, maximal signal intensity increased incrementally with MI for both agents and was equivalent between agents except at an MI of 0.1 (60% and 85% lower for Sonazoid at 7 and 1.8 MHz, respectively, P < .05). However, on progressive shortening of the pulsing interval, Definity was nearly completely destroyed at MIs ≥ 0.2 at 1.8 and 7 MHz, whereas Sonazoid was destroyed only at 1.8 MHz at MIs ≥ 0.3. As a result, real-time CEU perfusion imaging demonstrated approximately fourfold greater enhancement for Sonazoid at an MI of 0.3 to 0.4.ConclusionsRobust signal enhancement during real-time CEU perfusion imaging of the limb is possible when using intermediate-power imaging coupled with a durable microbubble contrast agent.

Project description:The biological response of normal tissue to high-dose radiation treatment remains poorly understood. Alterations to the microenvironment, specifically the microvasculature, have been implicated as a significant contributor to tumoral cytotoxicity. We used contrast-enhanced ultrasound (CEU) perfusion imaging, which is uniquely suited to assess functional status of the microcirculation, to measure microvascular blood flow after high-dose irradiation to normal skeletal muscle tissue in a murine model. Proximal hindlimbs of wild-type C57Bl/6 mice were irradiated with a single fraction using 6 MV photons, 1 cm bolus and a dynamic wedge. Quantitative perfusion CEU imaging of the skeletal muscle was performed at days 1 and 8 postirradiation in three different regions of interest (ROIs): 1. 15 Gy external-beam irradiated leg; 2. 12 Gy irradiated 5 mm proximal area; 3. single ROI in the nonirradiated contralateral (CL) hindlimb. Perfusion imaging was also performed in the hindlimb of nonirradiated mice. CEU time-intensity data were analyzed to measure microvascular blood flow (MBF, also referred to as perfusion), and its parametric components of microvascular flux rate and functional microvascular blood volume (MBV). Plasma measurements of two potent vasoconstrictors, endothelin-1 and angiotensin II, were also performed to assess systemic response. CEU perfusion imaging values for the 12 and 15 Gy irradiated limb regions were pooled. At day 1, MBF in the irradiated limb was significantly lower than in the CL limb (P = 0.016) but quite similar to the nonirradiated mice. At day 8, both limbs of irradiated mice exhibited a trend towards lower MBF than the limbs of nonirradiated mice (28% decrease in mean MBF, P = 0.149 for CL; 39% decrease, P = 0.065 for irradiated limb). Compared to nonirradiated animals, the reduction in perfusion in irradiated limbs at day 8 may have been more influenced by the microvascular flux rate (25% decrease in the mean, P = 0.079) than the MBV (12% decrease in the mean, P = 0.328). Examination of vasoactive compounds revealed that the average plasma concentration for endothelin-1 at day 8 postirradiation was significantly higher in 14 irradiated animals than in 4 nonirradiated animals (3.07 pg/ ml vs. 2.51 pg/ml; P = 0.011). Up to day 8 after high-dose irradiation, flow deficits in irradiated muscle appear to be a consequence of increased vascular resistance more so than loss or functional de-recruitment of microvascular units.

Dataset Information

Contrast Enhanced Ultrasound Perfusion Imaging in Skeletal Muscle.

Publications

Contrast Enhanced Ultrasound Perfusion Imaging in Skeletal Muscle.

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