scholarly journals Artificial intelligence assists identifying malignant versus benign liver lesions using contrast‐enhanced ultrasound

2021 ◽  
Author(s):  
Hang‐Tong Hu ◽  
Wei Wang ◽  
Li‐Da Chen ◽  
Si‐Min Ruan ◽  
Shu‐Ling Chen ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Liver Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Benign Liver ◽  
Benign Liver 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.

Contrast-enhanced ultrasound of benign liver lesions

2017 ◽  
Vol 43 (4) ◽  
pp. 848-860 ◽  
Author(s):  
Jessica G. Zarzour ◽  
Kristin K. Porter ◽  
Hisham Tchelepi ◽  
Michelle L. Robbin
Keyword(s):  
Liver Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Benign Liver ◽  
Benign Liver Lesions

Characterizing benign liver lesions and trauma with contrast-enhanced ultrasound

2014 ◽  
Vol 75 (2) ◽  
pp. 91-95 ◽  
Author(s):  
Mark Wills ◽  
Chris J Harvey ◽  
Siarhei Kuzmich ◽  
Asim Afaq ◽  
Adrian Lim ◽  
...  
Keyword(s):  
Liver Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Benign Liver ◽  
Benign Liver Lesions

Contrast-Enhanced Ultrasound of Benign Focal Liver Lesions

2018 ◽  
Vol 40 (01) ◽  
pp. 12-29 ◽  
Author(s):  
Christoph Dietrich
Keyword(s):  
Liver Tumors ◽  
Diagnostic Workup ◽  
Focal Liver Lesions ◽  
Liver Lesions ◽  
Contrast Enhanced Ultrasound ◽  
First Line ◽  
Benign Liver Tumors ◽  
Contrast Enhanced ◽  
Line Imaging ◽  
Benign Liver

AbstractThe diagnostic handling of benign focal liver lesions (FLLs) is a challenge and it is difficult to avoid over- and underdiagnosis. Conventional B-mode ultrasound and contrast-enhanced ultrasound (CEUS) are the first-line imaging methods to detect and characterize FLLs. This CME article discusses the diagnostic workup of benign liver tumors.

Primary benign liver lesions

2017 ◽  
Vol 95 ◽  
pp. 378-398 ◽  
Author(s):  
Luigi Grazioli ◽  
Roberta Ambrosini ◽  
Barbara Frittoli ◽  
Marco Grazioli ◽  
Mario Morone
Keyword(s):  
Liver Lesions ◽  
Benign Liver ◽  
Benign Liver Lesions

Contrast-enhanced ultrasound of malignant liver lesions

2017 ◽  
Vol 43 (4) ◽  
pp. 819-847 ◽  
Author(s):  
Isabelle Durot ◽  
Stephanie R. Wilson ◽  
Jürgen K. Willmann
Keyword(s):  
Liver Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Malignant Liver ◽  
Malignant Liver Lesions

Hyperintense benign liver lesions on spin-echo T1-weighted MR images: pathologic correlations

1997 ◽  
Vol 22 (4) ◽  
pp. 410-417 ◽  
Author(s):  
D. Mathieu ◽  
M. Paret ◽  
A.-E. Mahfouz ◽  
F. Caseiro-Alves ◽  
J. Tran Van Nhieu ◽  
...  
Keyword(s):  
Spin Echo ◽  
Liver Lesions ◽  
Mr Images ◽  
Benign Liver ◽  
Benign Liver Lesions

Diagnosis and management of solid benign liver lesions

2014 ◽  
Vol 11 (12) ◽  
pp. 737-749 ◽  
Author(s):  
Jacques Belghiti ◽  
François Cauchy ◽  
Valérie Paradis ◽  
Valérie Vilgrain
Keyword(s):  
Liver Lesions ◽  
Diagnosis And Management ◽  
Benign Liver ◽  
Benign Liver Lesions
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