Ultrasound elastography

Cui, Xin-Wu; Li, Kangning; Yi, Aijiao; Wang, Bin; Wei, Qi; Wu, Ge-Ge; Dietrich, Christoph F.

doi:10.4103/eus-d-21-00151

Cited by 20 publications

(21 citation statements)

References 147 publications

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“…Two-dimensional SWE relies on the quantification of the SWS to estimate tissue elasticity. Unlike strain imaging, where physical tissue displacement is quantified, 2D-SWE uses a dynamic stress to create measurable parallel or perpendicular shear waves 28–30 . There are three 2D-SWE techniques in use: (1) 1-dimensional transient elastography, (2) point shear wave elastography (pSWE), and (3) 2D-SWE.…”

Section: Discussionmentioning

confidence: 99%

Liver Cancer Vascularity Driven by Extracellular Matrix Stiffness

Taiji¹,

Zaske²,

Williams³

et al. 2023

Invest Radiol

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Background Extracellular matrix stiffness represents a barrier to effective local and systemic drug delivery. Increasing stiffness disrupts newly formed vessel architecture and integrity, leading to tumor-like vasculature. The resulting vascular phenotypes are manifested through different cross-sectional imaging features. Contrast-enhanced studies can help elucidate the interplay between liver tumor stiffness and different vascular phenotypes. Purpose This study aims to correlate extracellular matrix stiffness, dynamic contrast-enhanced computed tomography, and dynamic contrast-enhancement ultrasound imaging features of 2 rat hepatocellular carcinoma tumor models. Methods and Materials Buffalo-McA-RH7777 and Sprague Dawley (SD)–N1S1 tumor models were used to evaluate tumor stiffness by 2-dimensional shear wave elastography, along with tumor perfusion by dynamic contrast-enhanced ultrasonography and contrast-enhanced computed tomography. Atomic force microscopy was used to calculate tumor stiffness at a submicron scale. Computer-aided image analyses were performed to evaluate tumor necrosis, as well as the percentage, distribution, and thickness of CD34+ blood vessels. Results Distinct tissue signatures between models were observed according to the distribution of the stiffness values by 2-dimensional shear wave elastography and atomic force microscopy (P < 0.05). Higher stiffness values were attributed to SD-N1S1 tumors, also associated with a scant microvascular network (P ≤ 0.001). Opposite results were observed in the Buffalo-McA-RH7777 model, exhibiting lower stiffness values and richer tumor vasculature with predominantly peripheral distribution (P = 0.03). Consistent with these findings, tumor enhancement was significantly greater in the Buffalo-McA-RH7777 tumor model than in the SD-N1S1 on both dynamic contrast-enhanced ultrasonography and contrast-enhanced computed tomography (P < 0.005). A statistically significant positive correlation was observed between tumor perfusion on dynamic contrast-enhanced ultrasonography and contrast-enhanced computed tomography in terms of the total area under the curve and % microvessel tumor coverage (P < 0.05). Conclusions The stiffness signatures translated into different tumor vascular phenotypes. Two-dimensional shear wave elastography and dynamic contrast-enhanced ultrasonography adequately depicted different stromal patterns, which resulted in unique imaging perfusion parameters with significantly greater contrast enhancement observed in softer tumors.

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Section: Discussionmentioning

confidence: 99%

Liver Cancer Vascularity Driven by Extracellular Matrix Stiffness

Taiji¹,

Zaske²,

Williams³

et al. 2023

Invest Radiol

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“…Deformation is induced by manually applying micropressure with the ultrasound probe or by means of ultrasound pulses of appropriate intensity [ 49 , 51 , 52 , 53 , 54 , 55 ]. In the second excitation method, the ultrasound transducer remains stationary, while tissue displacement is caused by internal physiological movements (e.g., cardiac and arterial pulsations and respiratory motion).…”

Section: Relevant Sectionsmentioning

confidence: 99%

“…In both cases, the ultrasound images before and after the compression are then compared, and the equipment generates a color map that expresses the relative elasticity of the different tissue components, finally showing a specific “deformation index”. Usually, blue is used to represent low strain (i.e., stiff tissue), and red is used to represent high strain (i.e., soft tissue), although the specific color may differ based on the manufacturer of the ultrasound device [ 40 , 52 , 54 ]. SE assesses the relative stiffness of tissues within the elastographic ROI superimposed on a B-mode ultrasound image, requiring precise alignment of the ROI with the Peyronie’s plaque.…”

Section: Relevant Sectionsmentioning

confidence: 99%

“…Currently, many ultrasound manufacturers provide elastographic features, such as built-in capabilities for strain- or shear-wave-based methods. The World Federation of Ultrasound Medicine and Biology (WFUMB) categorizes elastography methods into four groups: strain elastography (SE), transient elastography (TE), acoustic radiation force impulse (ARFI), and shear-wave speed measurement and imaging [ 49 , 50 , 51 , 52 , 53 , 54 , 55 ]. There are two main studied techniques for measuring the mechanical properties of tissues: static (or quasi-static) methods and dynamic methods.…”

Section: Introductionmentioning

confidence: 99%

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Ultrasound Elastography as a Diagnostic Tool for Peyronie’s Disease: A State-of-the-Art Review

Paulis,

De Giorgio,

Paulis

2024

Diagnostics

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Elastography is a noninvasive method that utilizes ultrasound imaging to assess the elasticity and stiffness of soft tissue. Peyronie’s disease (PD) is a chronic inflammatory condition that affects the male penis, causing the formation of fibrous plaques. This alters the penis’s elasticity and can lead to changes in its shape. Ultrasound elastography (UE) is an important advancement in the diagnosis of PD. It not only identifies plaques, but it also measures their rigidity, providing crucial information to monitor changes during and after treatment. We conducted a narrative review of the scientific literature to identify articles that discuss the use of elastography in the diagnostic study of PD. The purpose of this study was to describe the “state of the art” in the diagnostic use of ultrasound in combination with elastography to highlight any benefits in the diagnosis of PD. We found 12 relevant articles after searching PubMed, Embase, and Google Scholar using the keywords “ultrasound elastography” and “Peyronie’s disease”, including eight clinical studies, two case reports, and two review articles. The results of our review indicate that UE is a useful technique for identifying Peyronie-related plaques, particularly when they are not detectable using a standard ultrasound or physical examination. It is also helpful in monitoring improvements during and after conservative treatments. More research is required to confirm the effectiveness of ultrasound elastography in diagnosing Peyronie’s disease and to determine whether it is better than traditional ultrasound.

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“…Several studies have shown that acoustic radiation force impulse (ARFI) is more effective than TE in patients with ascites and obesity, and also has a lower failure rate [ 7 ]. ARFI has a sensitivity and specificity of 92% and 86%, respectively, for diagnosing cirrhosis [ 8 ]. ARFI has been successfully applied to liver diseases such as chronic hepatitis B and C, and can be recommended as a reliable tool for monitoring liver fibrosis [ 9 – 13 ].…”

Section: Introductionmentioning

confidence: 99%

Construction of a nomogram for predicting compensated cirrhosis with Wilson’s disease based on non-invasive indicators

Li,

Wang,

Zhu

2024

BMC Med Imaging

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Background Wilson’s disease (WD) often leads to liver fibrosis and cirrhosis, and early diagnosis of WD cirrhosis is essential. Currently, there are few non-invasive prediction models for WD cirrhosis. The purpose of this study is to non-invasively predict the occurrence risk of compensated WD cirrhosis based on ultrasound imaging features and clinical characteristics. Methods A retrospective analysis of the clinical characteristics and ultrasound examination data of 102 WD patients from November 2018 to November 2020 was conducted. According to the staging system for WD liver involvement, the patients were divided into a cirrhosis group (n = 43) and a non-cirrhosis group (n = 59). Multivariable logistic regression analysis was used to identify independent influencing factors for WD cirrhosis. A nomogram for predicting WD cirrhosis was constructed using R analysis software, and validation of the model’s discrimination, calibration, and clinical applicability was completed. Due to the low incidence of WD and the small sample size, bootstrap internal sampling with 500 iterations was adopted for validation to prevent overfitting of the model. Results Acoustic Radiation Force Impulse (ARFI), portal vein diameter (PVD), and serum albumin (ALB) are independent factors affecting WD cirrhosis. A nomogram for WD cirrhosis was constructed based on these factors. The area under the ROC curve (AUC) of the model’s predictive ability is 0.927 (95% CI: 0.88–0.978). As demonstrated by 500 Bootstrap internal sampling validations, the model has high discrimination and calibration. Clinical decision curve analysis shows that the model has high clinical practical value. ROC curve analysis of the model’s rationality indicates that the model’s AUC is greater than the AUC of using ALB, ARFI, and PVD alone. Conclusion The nomogram model constructed based on ARFI, PVD, and ALB can serve as a non-invasive tool to effectively predict the risk of developing WD cirrhosis.

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Ultrasound elastography

Cited by 20 publications

References 147 publications

Liver Cancer Vascularity Driven by Extracellular Matrix Stiffness

Liver Cancer Vascularity Driven by Extracellular Matrix Stiffness

Ultrasound Elastography as a Diagnostic Tool for Peyronie’s Disease: A State-of-the-Art Review

Construction of a nomogram for predicting compensated cirrhosis with Wilson’s disease based on non-invasive indicators

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