Investigation of Radiofrequency Ultrasound‐Based Fibrotic Tissue Strain Imaging Method Employing Endogenous Motion

Sakalauskas, Andrius; Jurkonis, Rytis; Gelman, Sigita; Lukoševičius, Arūnas; Kupčinskas, Limas

doi:10.1002/jum.14925

Cited by 8 publications

(12 citation statements)

References 35 publications

(40 reference statements)

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“…However, the exact definition of motion inducing sources is beyond this study and will be investigated in future research. Other technical limitations of the method were disclosed in the previous study[ 32 ]. Also, despite the promising results, this was a pilot study and our results could be biased by the small size of our sample.…”

Section: Discussionmentioning

confidence: 99%

“…The ultrasound scanning was performed on the day of HVPG measurement prior to the procedure. Scanning protocol and the main RF data acquisition parameters were described in previous paper[ 32 ].…”

Section: Methodsmentioning

confidence: 99%

“…Length of the correlation window was set to 6 wavelengths and the overlap was 50%. The detailed description of the method could be found in previous publication[ 32 ]. The sequences of displacement images were obtained as a result of the displacement estimation stage.…”

Section: Methodsmentioning

confidence: 99%

“…An example of derived strain map is presented in Figure 1B . The description of data processing methods used for parametric imaging of endogenous strain was presented in detail in previous study[ 32 ].…”

Section: Methodsmentioning

confidence: 99%

“…Our group has applied SE technique to assess the strain of liver tissue caused by endogenous motion of the beating heart and developed a specific radiofrequency (RF) signal analysis algorithm to calculate the parameters for quantification of strain in liver tissue. We have previously applied this RF ultrasound-based tissue strain imaging method to characterize tissue elasticity in vitro [ 31 ] and demonstrated the feasibility of this method in diagnosing liver fibrosis in patients with hepatitis C virus[ 32 ]. The aim of present study was to evaluate the ability and feasibility of endogenously induced displacements and strain on the liver to assess the degree of PH, using this specifically developed RF signal analysis algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Endogenous motion of liver correlates to the severity of portal hypertension

Gelman¹,

Sakalauskas²,

Zykus³

et al. 2020

WJG

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BACKGROUND Degree of portal hypertension (PH) is the most important prognostic factor for the decompensation of liver cirrhosis and death, therefore adequate care for patients with liver cirrhosis requires timely detection and evaluation of the presence of clinically significant PH (CSPH) and severe PH (SPH). As the most accurate method for the assessment of PH is an invasive direct measurement of hepatic venous pressure gradient (HVPG), the search for non-invasive methods to diagnose these conditions is actively ongoing. AIM To evaluate the feasibility of parameters of endogenously induced displacements and strain of liver to assess degree of PH. METHODS Of 36 patients with liver cirrhosis and measured HVPG were included in the case-control study. Endogenous motion of the liver was characterized by derived parameters of region average tissue displacement signal ( d antero , d r etro , d RMS ) and results of endogenous tissue strain imaging using specific radiofrequency signal processing algorithm. Average endogenous strain µ and standard deviation σ of strain were assessed in the regions of interest (ROI) (1 cm × 1 cm and 2 cm × 2 cm in size) and different frequency subbands of endogenous motion (0-10 Hz and 10-20 Hz). RESULTS Four parameters showed statistically significant ( P < 0.05) correlation with HVPG measurement. The strongest correlation was obtained for the standard deviation of strain (estimated at 0-10 Hz and 2 cm × 2 cm ROI size). Three parameters showed statistically significant differences between patient groups with CSPH, but only d retro showed significant results in SPH analysis. According to ROC analysis area under the curve (AUC) of the σ ROI[0…10Hz, 2 cm × 2 cm] parameter reached 0.71 ( P = 0.036) for the diagnosis of CSPH; with a cut-off value of 1.28 μm/cm providing 73% sensitivity and 70% specificity. AUC for the diagnosis of CSPH for µ ROI[0…10Hz, 1 cm × 1 cm] was 0.78 ( P = 0.0024); with a cut-off value of 3.92 μm/cm providing 73% sensitivity and 80% specificity. D retro parameter had an AUC of 0.86 ( P = 0.0001) for the diagnosis of CSPH and 0.84 ( P = 0.0001) for the diagnosis of SPH. A cut-off value of -132.34 μm yielded 100% sensitivity for both conditions, whereas specificity was 80% and 72% for CSPH and SPH respectively. CONCLUSION The parameters of endogenously induced displacements and strain of the liver correlated with HVPG and might be used for non-invas...

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Endogenous motion of liver correlates to the severity of portal hypertension

Gelman¹,

Sakalauskas²,

Zykus³

et al. 2020

WJG

Self Cite

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The Ultrasound Window Into Vascular Ageing: A Technology Review by the VascAgeNet COST Action

Bianchini

Guala

Golemati

et al. 2023

J of Ultrasound Medicine

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Non‐invasive ultrasound (US) imaging enables the assessment of the properties of superficial blood vessels. Various modes can be used for vascular characteristics analysis, ranging from radiofrequency (RF) data, Doppler‐ and standard B/M‐mode imaging, to more recent ultra‐high frequency and ultrafast techniques. The aim of the present work was to provide an overview of the current state‐of‐the‐art non‐invasive US technologies and corresponding vascular ageing characteristics from a technological perspective. Following an introduction about the basic concepts of the US technique, the characteristics considered in this review are clustered into: 1) vessel wall structure; 2) dynamic elastic properties, and 3) reactive vessel properties. The overview shows that ultrasound is a versatile, non‐invasive, and safe imaging technique that can be adopted for obtaining information about function, structure, and reactivity in superficial arteries. The most suitable setting for a specific application must be selected according to spatial and temporal resolution requirements. The usefulness of standardization in the validation process and performance metric adoption emerges. Computer‐based techniques should always be preferred to manual measures, as long as the algorithms and learning procedures are transparent and well described, and the performance leads to better results. Identification of a minimal clinically important difference is a crucial point for drawing conclusions regarding robustness of the techniques and for the translation into practice of any biomarker.

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