Diagnostic accuracy of contrast-enhanced ultrasound (CEUS) in monitoring vascular complications in patients after liver transplantation – diagnostic performance compared with histopathological results

2017 ◽  
Vol 66 (4) ◽  
pp. 311-316 ◽  
Author(s):  
J. Rübenthaler ◽  
K.J. Paprottka ◽  
E. Hameister ◽  
K. Hoffmann ◽  
N. Joiko ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Diagnostic Accuracy ◽  
Diagnostic Performance ◽  
Vascular Complications ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Histopathological Results

scholarly journals Application of contrast enhanced ultrasound in gallbladder lesion: is it helpful to improve the diagnostic capabilities?

2018 ◽  
Vol 20 (4) ◽  
pp. 420 ◽  
Author(s):  
Wen-Tao Kong ◽  
Hi-Yun Shen ◽  
Yu-Dong Qiu ◽  
Hao Han ◽  
Bao-Jie Wen ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Diagnostic Performance ◽  
Color Doppler ◽  
Final Diagnosis ◽  
Wall Thickening ◽  
Contrast Enhanced Ultrasound ◽  
Color Doppler Flow Imaging ◽  
Imaging Characteristics ◽  
Contrast Enhanced ◽  
Significant Difference

The aim of this study is to evaluate if contrast enhanced ultrasound (CEUS) can improve the differential diagnostic performance of gallbladder (GB) lesions.Materials and methods: Forty-nine patients (18 men, 31 women; mean age, 54.8±14.4 years, range age, 22-78 years) with GB lesions (mass-forming and wall-thickened types) were enrolled in this study. All patients underwent conventional ultrasonography (US) and CEUS examination. The imaging characteristics of GB lesions were analyzed to compare the diagnostic performance of US and CEUS. The final diagnosis was obtained by histopathology.Results: There were significant differences between benign and malignant GB lesions with regards to size, shape, vascularity, the integrity and margin of GB wall and time to iso-enhancement on CEUS (p<0.05). However, no significant difference was found concerning the enhancement patterns between the two groups (p>0.05). Logistic regression analysis showed that the boundary between liver and GB wall (p=0.017) and vascularity on color Doppler flow imaging (p=0.013) were two independent predictors of malignancy. The diagnostic accuracy of US could be improved in combination with CEUS (65.3% vs 83.7%). The diagnostic accuracy of the GB wall thickening type was higher than the mass forming type.Conclusion: CEUS could improve the diagnostic performance of GB lesions, especially for wall-thickened type lesions

scholarly journals Quantitative Analysis of the Time–Intensity Curve of Contrast-Enhanced Ultrasound of the Liver: Differentiation of Benign and Malignant Liver Lesions

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1244
Author(s):  
Sonja Schwarz ◽  
Dirk-André Clevert ◽  
Michael Ingrisch ◽  
Thomas Geyer ◽  
Vincent Schwarze ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Diagnostic Accuracy ◽  
Late Phase ◽  
Focal Liver Lesions ◽  
Liver Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Malignant Lesions ◽  
Benign Liver ◽  
Benign Liver Lesions

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.

Differentiation between hepatocellular carcinoma and intrahepatic cholangiocarcinoma using contrast-enhanced ultrasound: A systematic review and meta-analysis

2021 ◽  
pp. 1-17
Author(s):  
Yanling Chen ◽  
Wenping Wang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diagnostic Accuracy ◽  
Publication Bias ◽  
Likelihood Ratio ◽  
Intrahepatic Cholangiocarcinoma ◽  
Cochrane Library ◽  
Arterial Phase ◽  
Contrast Enhanced Ultrasound ◽  
Diagnostic Ability ◽  
Contrast Enhanced

AIM: To explore the diagnostic ability of contrast-enhanced ultrasound (CEUS) in distinguishing intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC). MATERIALS AND METHODS: PubMed, EMBASE, Cochrane Library, and Web of Science were systematically searched for studies reporting the diagnostic accuracy of CEUS in differentiating ICC from HCC. The diagnostic ability of CEUS was assessed based on the pooled sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR) and area under the curve (AUC) with 95% confidence intervals (CIs). The methodologic quality was assessed by the QUADAS-2 tool. Subgroup analyses, meta-regression and investigation of publication bias were performed to identify the source of heterogeneity. RESULTS: A total of eight studies were included, consisting of 1,116 patients with HCC and 529 with ICC. The general diagnostic performance of CEUS in distinguishing ICC and HCC were as follows: pooled sensitivity, 0.92 (95% CI: 0.84–0.96); pooled specificity, 0.87 (95% CI: 0.79–0.92); pooled PLR, 7.1 (95% CI: 4.1–12.0); pooled NLR, 0.09 (95% CI: 0.05–0.19); pooled DOR, 76 (95% CI: 26–220) and AUC, 0.95(95% CI: 0.93–0.97). Different liver background may be a potential factor that influenced the diagnostic accuracy of CEUS according to the subgroup analysis, with the pooled DOR of 89.67 in the mixed liver background group and 46.87 in the cirrhosis group, respectively. Six informative CEUS features that may help differentiate HCC from ICC were extracted. The three CEUS features favoring HCC were arterial phase hyperenhancement(APHE), mild washout and late washout (>60s); the three CEUS favoring ICC were arterial rim enhancement, marked washout and early washout(<60s). No potential publication bias was observed. CONCLUSION: CEUS showed great diagnostic ability in differentiating ICC from HCC, which may be promising for noninvasive evaluation of these diseases.

Perfusional pattern analysis of contrast enhanced ultrasound (CEUS) improves diagnostic accuracy and reproducibility

2009 ◽  
Vol 41 (5) ◽  
pp. A6
Author(s):  
F. Piscaglia ◽  
V. Salvatore ◽  
A.G. Tewelde ◽  
G. Imbriaco ◽  
E. Sagrini ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Pattern Analysis ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced

scholarly journals Diagnostic Accuracy of Contrast-Enhanced Ultrasound Enhancement Patterns for Thyroid Nodules

2016 ◽  
Vol 22 ◽  
pp. 4755-4764 ◽  
Author(s):  
Yan Zhang ◽  
Yu-kun Luo ◽  
Ming-bo Zhang ◽  
Jie Li ◽  
Junlai Li ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Thyroid Nodules ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Ultrasound Enhancement

scholarly journals Effectiveness of contrast-enhanced ultrasound for detecting the staging and grading of bladder cancer: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Xinyue Ge ◽  
Zhong-Kai Lan ◽  
Jing Chen ◽  
Shang-Yong Zhu
Keyword(s):  
Bladder Cancer ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Positive Likelihood Ratio ◽  
Cochrane Library ◽  
Forest Plot ◽  
Low Grade ◽  
High Grade ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced

Aim: The study retrospectively analysed the accuracy of preoperative contrast-enhanced ultrasound (CEUS) in differenti-ating stage Ta-T1 or low-grade bladder cancer (BC) from stage T2 or high-grade bladder cancer. Material and methods: We systematically searched the literature indexed in PubMed, Embase, and the Cochrane Library for original diagnostic articles of bladder cancer. The diagnostic accuracy of CEUS was compared with cystoscopy and/or transurethral resection of bladder tumors (TURBT). The bivariate logistic regression model was used for data pooling, couple forest plot, diagnostic odds ratio (DOR) and summary receiver operating characteristic (SROC). Results: Five studies met the selection criteria; the overall number of reported bladder cancers patients were 436. The pooled-sensitivity (P-SEN), pooled-specificity (P-SPE), pooled-positive likelihood ratio (PLR+), pooled-negative likelihood ratio (PLR−), DOR, and area under the SROC curve were 94.0% (95%CI: 85%–98%), 90% (95%CI: 83%–95%), 9.5 (95%CI: 5.1–17.6), 0.06 (95%CI: 0.02–0.17), 147 (95%CI: 35–612) and 97% (95% CI: 95%–98%) respectively. Conclusion: CEUS reaches a high efficiency in discriminating Ta-T1 or low-grade bladder cancer from stage T2 or high-grade bladder cancer. It can be a promising method in patients to distinguish T staging and grading of bladder cancer because of its high sensitivity, specificity and diagnostic accuracy.

scholarly journals Contrast-Enhanced Ultrasound in the Differential Diagnosis of Primary Thyroid Lymphoma and Nodular Hashimoto’s Thyroiditis in a Background of Heterogeneous Parenchyma

2021 ◽  
Vol 10 ◽  
Author(s):  
Lulu Yang ◽  
Haina Zhao ◽  
Yushuang He ◽  
Xianglan Zhu ◽  
Can Yue ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Hashimoto’S Thyroiditis ◽  
Diagnostic Performance ◽  
Roc Curves ◽  
Hashimoto's Thyroiditis ◽  
Imaging Features ◽  
Contrast Enhanced Ultrasound ◽  
Thyroid Lymphoma ◽  
Contrast Enhanced ◽  
Primary Thyroid Lymphoma

ObjectiveTo investigate the diagnostic performance of contrast-enhanced ultrasound (CEUS) in the differentiation of primary thyroid lymphoma (PTL) and nodular Hashimoto’s thyroiditis (NHT) in patients with background of heterogeneous diffuse Hashimoto’s thyroiditis (HT).MethodsSixty HT patients with 64 thyroid nodules (31 PTL and 33 NHT) who had undergone CEUS examination were included in this study. With histopathological results as the reference, we evaluated the imaging features of each nodule on both conventional ultrasonography (US) and CEUS. Quantitative CEUS parameters including peak intensity (PI), time to peak (TTP), and area under the time–intensity curve (AUC) were gathered in the nodule and background parenchyma. The ratio indexes of theses parameters were calculated by the ratio of the lesion and the corresponding thyroid parenchyma. Logistic regression and receiver operating characteristic (ROC) curves analyses of valuable US indicators were further preformed to evaluate the diagnostic capability of CEUS in discrimination of PTL and NHT.ResultsAmong all the observed US imaging features and CEUS parameters, 10 indicators showed significant differences between PTL and NHT (all P &lt; 0.05). All the significant indicators were ranked according to the odds ratios (ORs). Eight of them were CEUS associated including imaging features of enhancement pattern, degree, homogeneity, and quantification parameters of PI, AUC, ratios of PI, AUC, and TTP, while indicators on conventional US, including vascularity and size ranked the last two with ORs less than 3. The five single CEUS parameters showed good diagnostic performance in diagnosis of PTL with areas under ROC curves of 0.72–0.83 and accuracies of 70.3–75.0%. The combination of CEUS imaging features and the ratios of PI, AUC, and TTP demonstrated excellent diagnostic efficiency and achieved area under ROC curve of 0.92, which was significantly higher than any of the five single parameters (all P &lt; 0.05), with a sensitivity of 83.9%, specificity of 87.9%, and accuracy of 85.9%.ConclusionsCEUS is an efficient diagnostic tool in the differential diagnosis of PTL and NHT for patients with diffuse HT. Conjoint analysis of CEUS imaging features and quantification parameters could improve the diagnostic values.

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