Renal Advances in Ultrasound Elasticity Imaging: Measuring the Compliance of Arteries and Kidneys in End-Stage Renal Disease

Weitzel, William F.; Kim, K.; Rubin, Jonathan M.; Xie, Hua; O’Donnell, Matthew

doi:10.1159/000082005

Cited by 34 publications

(53 citation statements)

References 67 publications

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“…The finding of a positive correlation between the fibrosis degree and stiffness measured by shear wave elastography is consistent with prior studies on other types of elastography for evaluating the fibrosis degree in kidneys. 12,[21][22][23][24][25][26][27] However, the kidneys with grade 2 fibrosis (1.5%-10%) covered a wide range of mean stiffness. This group consisted of 9 group I kidneys and 3 group II kidneys.…”

Section: Discussionmentioning

confidence: 99%

Quantification of Kidney Fibrosis Using Ultrasonic Shear Wave Elastography

Moon

Kim

Cho

et al. 2015

J of Ultrasound Medicine

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Objectives The purpose of this study was to evaluate the feasibility of ultrasonic shear wave elastography for quantification of renal fibrosis in an experimental rabbit model. Methods Thirty‐eight kidneys of 19 rabbits were studied and categorized into 3 groups: group I, ureter obstruction (n = 9); group II, renal vein occlusion (n = 10); and group III, normal control (n = 19). Before surgery, we measured stiffness at the renal cortex using shear wave elastography and evaluated the sonographic findings, including size, echogenicity, and resistive index. We repeated the same sonographic examinations weekly until the fourth week. The degree of histologically quantified fibrosis and the measured stiffness values were statistically compared. Results There was no significant difference in the mean stiffness values for the renal cortex in the 3 groups before surgery (8.95 kPa in group I, 9.06 kPa in group II, and 9.74 kPa in group III; P > .05). However, the mean stiffness in each group on the last sonographic examination was significantly different (10.91 kPa in group I, 13.92 kPa in group II, and 9.77 kPa in group III; P = .003). Pathologically, the degree of fibrosis was also significantly different (3.62% in group I, 11.70% in group II, and 0.70% in group III; P< .001). The fibrosis degree and stiffness were positively correlated (ρ = 0.568; P = 0.01). Conclusions Tissue stiffness measured by ultrasonic shear wave elastography was positively correlated with histopathologic renal fibrosis. Ultrasonic shear wave elastography may be used as a noninvasive tool for predicting renal fibrosis.

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Section: Discussionmentioning

confidence: 99%

Quantification of Kidney Fibrosis Using Ultrasonic Shear Wave Elastography

Moon

Kim

Cho

et al. 2015

J of Ultrasound Medicine

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“…Elastography can provide higher specificity and sensitivity for disease diagnosis [20], [33], [34] as a result of the high elasticity contrast between diseased and normal tissues [35], [36]. Elastography has been successful in the detection of liver cirrhosis [19], [37], renal disease [33], [38], [39], myocardial ischemia [40], [41], prostate cancer and/or breast lesions [20], [21], [42]- [46], as well as thermal lesions produced by radio-frequency or ultrasonic ablation therapy [47]- [52]. In contrast to thermal therapy, which produces stiffened tissues, histotripsy results in soft homogenized tissues in the treated volume.…”

Section: Introductionmentioning

confidence: 99%

Imaging feedback of histotripsy treatments using ultrasound shear wave elastography

Wang

Hall

et al. 2012

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Histotripsy is a cavitation-based ultrasound therapy that mechanically fractionates soft solid tissues into fluid-like homogenates. This paper investigates the feasibility of imaging the tissue elasticity change during the histotripsy process as a tool to provide feedback for the treatments. The treatments were performed on agar tissue phantoms and ex vivo kidneys using 3-cycle ultrasound pulses delivered by a 750-kHz therapeutic array at peak negative/positive pressure of 17/108 MPa and a repetition rate of 50 Hz. Lesions with different degrees of damage were created with increasing numbers of therapy pulses from 0 to 2000 pulses per treatment location. The elasticity of the lesions was measured with ultrasound shear wave elastography, in which a quasiplanar shear wave was induced by acoustic radiation force generated by the therapeutic array, and tracked with ultrasound imaging at 3000 frames per second. Based on the shear wave velocity calculated from the sequentially captured frames, the Young's modulus was reconstructed. Results showed that the lesions were more easily identified on the shear wave velocity images than on Bmode images. As the number of therapy pulses increased from 0 to 2000 pulses/location, the Young's modulus decreased exponentially from 22.1 ± 2.7 to 2.1 ± 1.1 kPa in the tissue phantoms (R 2 = 0.99, N = 9 each), and from 33.0 ± 7.1 to 4.0 ± 2.5 kPa in the ex vivo kidneys (R 2 = 0.99, N = 8 each). Correspondingly, the tissues transformed from completely intact to completely fractionated as examined via histology. A good correlation existed between the lesions' Young's modulus and the degree of tissue fractionation as examined with the percentage of remaining structurally intact cell nuclei (R 2 = 0.91, N = 8 each). These results indicate that lesions produced by histotripsy can be detected with high sensitivity using shear wave elastography. Because the decrease in the tissue elasticity corresponded well with the morphological and histological change, this study provides a basis for predicting the local treatment outcomes from tissue elasticity change.

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“…We used the standard formula (3) where <ε c > is the average strain in the cyst, and σ e -c is the SD of the strain estimates in the cyst. For comparison, we used a corresponding formula to show the signal-to-noise ratio in the correlation coefficient images, S/N(ρ): (4) where <ρ c > is the mean correlation coefficient in the cyst, and σ ρ -c is the SD of the correlation coefficients in the cyst.…”

Section: Quantification Of Mass Visibility In Imagesmentioning

confidence: 99%

Diagnosing Cysts With Correlation Coefficient Images From 2-Dimensional Freehand Elastography

Booi

Carson

O’Donnell

et al. 2007

Journal of Ultrasound in Medicine

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Objective. We compared the diagnostic potential of using correlation coefficient images versus elastograms from 2-dimensional (2D) freehand elastography to characterize breast cysts. Methods. In this preliminary study, which was approved by the Institutional Review Board and compliant with the Health Insurance Portability and Accountability Act, we imaged 4 consecutive human subjects (4 cysts, 1 biopsy-verified benign breast parenchyma) with freehand 2D elastography. Data were processed offline with conventional 2D phase-sensitive speckle-tracking algorithms. The correlation coefficient in the cyst and surrounding tissue was calculated, and appearances of the cysts in the correlation coefficient images and elastograms were compared. Results. The correlation coefficient in the cysts was considerably lower (14%-37%) than in the surrounding tissue because of the lack of sufficient speckle in the cysts, as well as the prominence of random noise, reverberations, and clutter, which decorrelated quickly. Thus, the cysts were visible in all correlation coefficient images. In contrast, the elastograms associated with these cysts each had different elastographic patterns. The solid mass in this study did not have the same high decorrelation rate as the cysts, having a correlation coefficient only 2.1% lower than that of surrounding tissue. Conclusions. Correlation coefficient images may produce a more direct, reliable, and consistent method for characterizing cysts than elastograms.

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Renal Advances in Ultrasound Elasticity Imaging: Measuring the Compliance of Arteries and Kidneys in End-Stage Renal Disease

Cited by 34 publications

References 67 publications

Quantification of Kidney Fibrosis Using Ultrasonic Shear Wave Elastography

Quantification of Kidney Fibrosis Using Ultrasonic Shear Wave Elastography

Imaging feedback of histotripsy treatments using ultrasound shear wave elastography

Diagnosing Cysts With Correlation Coefficient Images From 2-Dimensional Freehand Elastography

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