Does the echogenicity of focal liver lesions on baseline gray-scale ultrasound interfere with the diagnostic performance of contrast-enhanced ultrasound?

2009 ◽  
Vol 19 (5) ◽  
pp. 1214-1222 ◽  
Author(s):  
Guang-Jian Liu ◽  
Hui-Xiong Xu ◽  
Xiao-Yan Xie ◽  
Zuo-Feng Xu ◽  
Yan-Ling Zheng ◽  
...  
2008 ◽  
Vol 19 (2) ◽  
pp. 358-369 ◽  
Author(s):  
Man-Xia Lin ◽  
Hui-Xiong Xu ◽  
Ming-De Lu ◽  
Xiao-Yan Xie ◽  
Li-Da Chen ◽  
...  

Author(s):  
Dongsheng Zuo ◽  
Kefeng Yang ◽  
Size Wu

BACKGROUND: The contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) is a relative new algorithm for hepatocellular carcinoma (HCC) assessment. OBJECTIVE: To validate the diagnostic efficiency of the intravascular perfusion based CEUS LI-RADS for HCC. METHODS: Archives of 873 patients with focal liver lesions (FLLs) undergoing CEUS were reviewed, and target images were read by two sonologists independently according to the CEUS LI-RADS. The diagnostic performance was calculated and compared. RESULTS: Assessment with reference to CEUS LI-RADS, 87 of 218 FLLs (39.9%) were categorized as LR-5, 131 of 218 FLLs (60.1%) were categorized as non-LR-5, 19 of 99 HCCs were categorized as non-LR-5, and 7 of 119 non-HCCs were categorized as LR-5. The sensitivity, specificity, AUROC, positive and negative predictive values of CEUS LI-RADS for diagnosing HCC were 80.81%(95%CI: 71.7%–88.0%), 94.1%(95%CI: 88.3%–97.6%), 0.87 (95%CI: 0.82–0.92), 91.9%(95%CI: 84.1%–96.7%), and 85.5%(95%CI: 78.3%–91.0%), respectively. CONCLUSIONS: The diagnostic efficiency of the intravascular perfusion based CEUS LI-RADS for the evaluation of HCCs is very good.


Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1244
Author(s):  
Sonja Schwarz ◽  
Dirk-André Clevert ◽  
Michael Ingrisch ◽  
Thomas Geyer ◽  
Vincent Schwarze ◽  
...  

Background: To evaluate the diagnostic accuracy of quantitative perfusion parameters in contrast-enhanced ultrasound to differentiate malignant from benign liver lesions. Methods: In this retrospective study 134 patients with a total of 139 focal liver lesions were included who underwent contrast enhanced ultrasound (CEUS) between 2008 and 2018. All examinations were performed by a single radiologist with more than 15 years of experience using a second-generation blood pool contrast agent. The standard of reference was histopathology (n = 60), MRI or CT (n = 75) or long-term CEUS follow up (n = 4). For post processing regions of interests were drawn both inside of target lesions and the liver background. Time–intensity curves were fitted to the CEUS DICOM dataset and the rise time (RT) of contrast enhancement until peak enhancement, and a late-phase ratio (LPR) of signal intensities within the lesion and the background tissue, were calculated and compared between malignant and benign liver lesion using Student’s t-test. Quantitative parameters were evaluated with respect to their diagnostic accuracy using receiver operator characteristic curves. Both features were then combined in a logistic regression model and the cumulated accuracy was assessed. Results: RT of benign lesions (14.8 ± 13.8 s, p = 0.005), and in a subgroup analysis, particular hemangiomas (23.4 ± 16.2 s, p < 0.001) differed significantly to malignant lesions (9.3 ± 3.8 s). The LPR was significantly different between benign (1.59 ± 1.59, p < 0.001) and malignant lesions (0.38 ± 0.23). Logistic regression analysis with RT and LPR combined showed a high diagnostic accuracy of quantitative CEUS parameters with areas under the curve of 0.923 (benign vs. malignant) and 0.929 (hemangioma vs. malignant. Conclusions: Quantified CEUS parameters are helpful to differentiate malignant from benign liver lesions, in particular in case of atypical hemangiomas.


2013 ◽  
Vol 33 (5) ◽  
pp. 739-755 ◽  
Author(s):  
Mireen Friedrich-Rust ◽  
Tom Klopffleisch ◽  
Julia Nierhoff ◽  
Eva Herrmann ◽  
Johannes Vermehren ◽  
...  

2008 ◽  
Vol 27 (4) ◽  
pp. 657-666 ◽  
Author(s):  
Guang-Jian Liu ◽  
Ming-De Lu ◽  
Xiao-Yan Xie ◽  
Hui-Xiong Xu ◽  
Zuo-Feng Xu ◽  
...  

2014 ◽  
Vol 45 (1) ◽  
pp. 7-17 ◽  
Author(s):  
Shruti Thakur ◽  
Anupam Jhobta ◽  
D.S. Dhiman ◽  
R.G. Sood ◽  
Arun Chauhan ◽  
...  

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