Measurements of the Cyclic Variation of Myocardial Backscatter From Two‐Dimensional Echocardiographic Images as an Approach for Characterizing Diabetic Cardiomyopathy

Holland, Mark; Gibson, Allyson A.; Peterson, Linda R.; Areces, Marianela; Schaffer, Jean E.; Pérez, Julio E.; Miller, James G.

doi:10.1111/j.1559-4564.2006.05493.x

Cited by 19 publications

(19 citation statements)

References 25 publications

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“…To achieve this goal we modified a technique previously employed in analysis of cardiac muscle to quantify skeletal muscle ultrasound backscatter. 10,13,24 This method of backscatter quantitation has two essential components: (1) configuration of the ultrasound system to establish a linear relationship between the measured grayscale values and estimated backscatter (expressed in decibels); and (2) calibration of results with an external reference. We configured our ultrasound system to provide an approximately linear relationship between grayscale and backscatter values by employing a linear postprocessing map.…”

Section: Discussionmentioning

confidence: 99%

“…1). 10,11,13,24 For data acquisition from human subjects, images were acquired in the fundamental imaging mode with the ultrasound system configured as just described. The image depth setting was usually set to 5 cm.…”

Section: Methodsmentioning

confidence: 99%

“…4,9,17,18,23 Measurement of backscattered signals can provide reliable estimates of the intrinsic tissue properties even among different ultrasound machines and set-ups if reference data and specific imaging system configurations are known. 10,12,24 Backscatter levels in the myocardium vary with the state of contraction, muscle fiber orientation, and cardiac pathology. 3,19 In this study we measured the effects of muscle contraction and probe orientation on backscatter in normal skeletal muscle and compared backscatter levels in controls and those with myopathies.…”

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confidence: 99%

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Calibrated quantitative ultrasound imaging of skeletal muscle using backscatter analysis

et al. 2008

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We evaluated the ability of an ultrasound method, which can characterize cardiac muscle pathology and has reliability across different imaging systems, to obtain calibrated quantitative estimates of backscatter of skeletal muscle. Our procedure utilized a tissue-mimicking phantom to establish a linear relationship between ultrasound grayscale and backscatter levels. We studied skeletal muscles of 82 adults: 45 controls and 37 patients with hereditary myopathies. We found that skeletal muscle ultrasound backscatter levels varied with probe orientation, age, and muscle contraction and pathology. Reliability was greater with the probe in longitudinal compared with transverse planes. Backscatter levels were higher in those >40 years of age, in muscle extension than flexion, and in myopathic patients than controls. Calibrated measurements of muscle backscatter have sensitivity and specificity in identifying and reliably measuring levels of skeletal muscle pathology.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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confidence: 99%

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Calibrated quantitative ultrasound imaging of skeletal muscle using backscatter analysis

et al. 2008

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“…The details of this calibration have been previously described by our laboratory. (Holland et al 2006) The time-gain compensation (TGC) settings were adjusted so that the backscatter signal strength was within the useful linear dynamic range for all depths and a single transmit focus was placed near the center of the left ventricle.…”

Section: Methodsmentioning

confidence: 99%

Toward 3-D Echocardiographic Determination of Regional Myofiber Structure

Milne

Singh

Miller

et al. 2016

Ultrasound in Medicine & Biology

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As a step toward the goal of relating changes in underlying myocardial structure to observed altered cardiac function in the hearts of individual patients, this study addresses the feasibility of creating echocardiography-derived maps of regional myocardial fiber structure for entire, intact, excised sheep hearts. Backscatter data were obtained from apical echocardiographic images acquired with a clinical ultrasonic imaging system and used to determine local fiber orientations in each of seven hearts. Systematic acquisition across the entire heart volume provided information sufficient to give a complete map for each heart. Results from the echocardiography-derived fiber maps compare favorably with corresponding results derived from diffusion tensor magnetic resonance imaging. The results of this study provide evidence of the feasibility of using echocardiographic methods to generate individualized whole heart fiber maps for patients.

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“…Ultrasonic backscatter from myocardium has long been known to vary systematically over the cardiac cycle (Madaras et al, 1983; Mottley et al, 1984; Barzilai et al, 1984; Wickline et al, 1985; Mobley et al, 1995; Naito et al, 1996; Bello et al, 1998; Hu et al, 2003; Holland et al, 2004, 2007, 2009; Gibson et al, 2009). Quantification of this cyclic variation of myocardial backscatter has provided a tool for non-invasive ultrasonic tissue characterization in a range of pathologies, including diabetes (Gibson et al, 2009; Holland et al, 2007; Wagner et al, 1995; Bello et al, 1995; Pérez et al, 1992).…”

Section: Introductionmentioning

confidence: 99%

Bayesian Parameter Estimation for Characterizing the Cyclic Variation of Echocardiographic Backscatter to Assess the Hearts of Asymptomatic Type 2 Diabetes Mellitus Subjects

Anderson

Gibson

Schaffer

et al. 2011

Ultrasound in Medicine & Biology

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Previous studies have shown that effective quantification of the cyclic variation of myocardial ultrasonic backscatter over the heart cycle might provide a non-invasive technique for identifying the early onset of cardiac abnormalities. These studies have demonstrated the potential for measurements of the magnitude and time delay of cyclic variation for identifying early onset of disease. The goal of this study was to extend this approach by extracting additional parameters characterizing the cyclic variation in an effort to better assess subtle changes in myocardial properties in asymptomatic subjects with type 2 diabetes. Echocardiographic images were obtained on a total of 43 age-matched normal control subjects and 100 type 2 diabetics. Cyclic variation data were generated by measuring the average level of ultrasonic backscatter over the heart cycle within a region of interest placed in the posterior wall of the left ventricle. Cyclic variation waveforms were modeled as piecewise linear functions, and quantified using a novel Bayesian parameter estimation method. Magnitude, rise time and slew rate parameters were extracted from models of the data. The ability of each of these parameters to distinguish between normal and type 2 diabetic subjects, and between subjects grouped by glycated hemoglobin (HbA1c) was compared. Results suggest a significant improvement in using measurements of the rise time and slew rate parameters of cyclic variation to differentiate (p < 0.001) the hearts of patients segregated based on widely employed indices of diabetic control compared to differentiation based on the magnitude of cyclic variation.

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Measurements of the Cyclic Variation of Myocardial Backscatter From Two‐Dimensional Echocardiographic Images as an Approach for Characterizing Diabetic Cardiomyopathy

Cited by 19 publications

References 25 publications

Calibrated quantitative ultrasound imaging of skeletal muscle using backscatter analysis

Calibrated quantitative ultrasound imaging of skeletal muscle using backscatter analysis

Toward 3-D Echocardiographic Determination of Regional Myofiber Structure

Bayesian Parameter Estimation for Characterizing the Cyclic Variation of Echocardiographic Backscatter to Assess the Hearts of Asymptomatic Type 2 Diabetes Mellitus Subjects

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