Assessment of irreversible electroporation ablation zone using Kupffer-phase contrast-enhanced ultrasound images with Sonazoid

2014 ◽  
Vol 41 (4) ◽  
pp. 531-532 ◽  
Author(s):  
Katsutoshi Sugimoto ◽  
Fuminori Moriyasu ◽  
Kobayashi Yoshiyuki ◽  
Yasuharu Imai
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Linyu Zhou ◽  
Shanyu Yin ◽  
Weilu Chai ◽  
Qiyu Zhao ◽  
Guo Tian ◽  
...  

Abstract Background Familiarity with post-IRE imaging interpretation is of considerable importance in determining ablation success and detecting recurrence. CEUS can be used to assess the tumour response and characteristics of the ablation zone. It is of clinical interest to describe the ultrasonographic findings of liver tumours after irreversible electroporation (IRE) percutaneous ablation. Methods A prospective study of 24 cases of malignant liver tumours (22 cases of primary liver tumours and 2 cases of liver metastases) treated by IRE ablation was conducted. Two inspectors evaluated the ablation zone in a consensus reading performed immediately, 1 day, and 1 month after IRE ablation. The gold standard method, magnetic resonance imaging (MRI), was used to evaluate the effectiveness of the treatment at 1 month. Results Immediately after IRE ablation and up to 1 month later, the ablation zones gradually changed from hypo-echogenicity to hyper-echogenicity on conventional ultrasound and showed non-enhancement on contrast-enhanced ultrasound (CEUS). One month after IRE ablation, CEUS and MRI results were highly consistent (κ = 0.78, p < 0.05). Conclusions We conclude that CEUS may be an effective tool for assessing post-IRE ablation changes after 1 month. CEUS enables the depiction of tumour vascularity in real time and serves as an easy, repeatable method.


2014 ◽  
Vol 39 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Angelika Alonso ◽  
Dimitrios Artemis ◽  
Michael G. Hennerici

Background: Carotid endarterectomy (CEA) has been shown to be beneficial in patients with high-grade symptomatic carotid artery stenosis. Patients with high-grade asymptomatic stenosis may only exceptionally benefit from CEA during periods of increased plaque vulnerability. Imaging modalities to characterize unstable, vulnerable plaques are strongly needed for better risk stratification in these patients. Summary: Contrast-enhanced ultrasound (CEUS) is a novel and noninvasive technique capable to identify several surrogate markers of vulnerable carotid plaques. The use of specific ultrasound microbubbles allows a reliable detection of microulcerations due to an optimized visualization of the plaque-lumen border. As microbubbles are strictly intravascular tracers, the detection of individual microbubbles within the plaque corresponds to intraplaque neovessels. The accuracy of CEUS in the visualization of newly formed microvessels has been confirmed in histological studies on carotid endarterectomy specimens. Together with the formation of adventitial vasa vasorum, intraplaque neovascularization is a strong predictor for symptomatic disease. The phenomenon of late phase contrast enhancement is based on the adherence of microbubble-containing monocytes on inflamed endothelium. Recent studies suggest that late phase contrast enhancement may reflect endothelial inflammation or activation within carotid plaques. The development of conjugated microbubbles that bind to specific ligands such as thrombotic material or neovessels has led to the term ‘molecular imaging'. CEUS with microbubbles targeted to P-selectin and VCAM-1, key molecules in leukocyte trafficking, was used to detect an inflammatory plaque phenotype, whereas microbubbles coupled to the VEGF-receptor may allow for a detection of neovascularization. Even though imaging with targeted microbubbles is yet in an experimental stage, this technique can visualize active plaque reorganization with increased vulnerability leading to generation of arterio-arterial embolism. Key Messages: The use of contrast-enhanced ultrasound can be recommended to assess atherosclerotic carotid lesions at risk for rupture. Prospective clinical studies are needed to validate the use of CEUS in patients with high risks of recurrent large artery strokes. In particular, this applies to the detection of intraplaque neovascularization, a well-established marker in preclinical and observational studies, while the clinical significance of late phase contrast enhancement still needs to be determined.


2020 ◽  
Author(s):  
Linyu Zhou ◽  
Shanyu Yin ◽  
Weilu Chai ◽  
Qiyu Zhao ◽  
Guo Tian ◽  
...  

Abstract Background: To describe the contrast-enhanced ultrasound imaging findings of liver tumours after percutaneous ablation by irreversible electroporation (IRE). Methods: A prospective study of 21 malignant liver tumours (19 primary hepatic tumours and 2 hepatic metastases) treated by IRE ablation was performed. The ablation zones were evaluated by two examiners in a consensus reading performed immediately, 1 day, and 1 month after IRE ablation. The gold standard method with which the effectiveness of the treatment at 1 month is compared, is MRI. Results: Immediately after IRE ablation and up to 1 month later, the ablation zones gradually changed from hypo-echogenicity to hyper-echogenicity on conventional ultrasound, and becomes non-enhancement on contrast-enhanced ultrasound (CEUS). There was substantial agreement (κ = 0.77, p < 0.05) between the results obtained with CEUS and those obtained with MRI 1 month after IRE ablation. Conclusions: We conclude that CEUS could be an effective tool for assessing post-irreversible electroporation ablation changes after 1 month. CEUS enables the depiction of tumour vascularity in real time and provides an easy, repeatable way.


2019 ◽  
Vol 41 (2) ◽  
pp. 115-125
Author(s):  
Bin Ning ◽  
Dong Zhang ◽  
Wen He ◽  
Li Shu Wang ◽  
Zhan Qiang Jin

Intraplaque neovascularization (IPNV) is a characteristic feature of the vulnerable plaques. In this study of neovessels of carotid plaques, we assessed intraplaque echogenicity and plaque surface morphology, and performed contrast-enhanced ultrasound (CEUS) to observe the location and grading of neovessels to identify the vulnerability of plaques. The results showed that plaque with a ruptured fibrous cap on the histopathological images presented as a sunken or fissured surface on corresponding ultrasound images. Both in the symptomatic and asymptomatic groups, plaque echogenicity did not correlate with neovessels grading. The neovessels that appeared in the tunica media and base of the plaque in the symptomatic and asymptomatic group on CEUS had no statistical difference ( p > 0.05), but those located in the fibrous cap and shoulders had a significant statistical difference ( p = 0.000). Statistical differences were not found in the locations of IPNV on CEUS and histopathology (all p > 0.05). The sensitivity (82.4%, 56/68) and specificity (77.4%, 24/31) of IPNV location were higher than those (77.9%, 53/68; 45.2%, 14/31) of IPNV grading in the identification of plaque vulnerability. IPNVs located at the fibrous cap and shoulders on CEUS is a reliable indicator for identifying plaque vulnerability.


Author(s):  
Yi Dong ◽  
Dan Zuo ◽  
Yi-Jie Qiu ◽  
Jia-Ying Cao ◽  
Han-Zhang Wang ◽  
...  

OBJECTIVES: To establish and evaluate a machine learning radiomics model based on grayscale and Sonazoid contrast enhanced ultrasound images for the preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients. METHODS: 100 cases of histopathological confirmed HCC lesions were prospectively included. Regions of interest were segmented on both grayscale and Kupffer phase of Sonazoid contrast enhanced (CEUS) images. Radiomic features were extracted from tumor region and region containing 5 mm of peritumoral liver tissues. Maximum relevance minimum redundancy (MRMR) and Least Absolute Shrinkage and Selection Operator (LASSO) were used for feature selection and Support Vector Machine (SVM) classifier was trained for radiomic signature calculation. Radiomic signatures were incorporated with clinical variables using univariate-multivariate logistic regression for the final prediction of MVI. Receiver operating characteristic curves, calibration curves and decision curve analysis were used to evaluate model’s predictive performance of MVI. RESULTS: Age were the only clinical variable significantly associated with MVI. Radiomic signature derived from Kupffer phase images of peritumoral liver tissues (kupfferPT) displayed a significantly better performance with an area under the receiver operating characteristic curve (AUROC) of 0.800 (95% confidence interval: 0.667, 0.834), the final prediction model using Age and kupfferPT achieved an AUROC of 0.804 (95% CI: 0.723, 0.878), accuracy of 75.0%, sensitivity of 87.5% and specificity of 69.1%. CONCLUSIONS: Radiomic model based on Kupffer phase ultrasound images of tissue adjacent to HCC lesions showed an observable better predictive value compared to grayscale images and has potential value to facilitate preoperative identification of HCC patients at higher risk of MVI.


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