The value of Contrast-Enhanced Ultrasound in the characterization of vascular pattern of solid pancreatic lesions
Male
Neovascularization, Pathologic
Sulfur Hexafluoride
Contrast Media
Reproducibility of Results
Middle Aged
Image Enhancement
Magnetic Resonance Imaging
Sensitivity and Specificity
3. Good health
Pancreatic Neoplasms
03 medical and health sciences
0302 clinical medicine
Image Interpretation, Computer-Assisted
Humans
Female
Tomography, X-Ray Computed
Algorithms
Phospholipids
Ultrasonography
DOI:
10.11152/mu.2013.2066.171.mars
Publication Date:
2015-02-27T10:22:43Z
AUTHORS (11)
ABSTRACT
The aim of our study was to evaluate the accuracy of CEUS in the characterization of pancreatic solid lesions, considering cross sectional imaging techniques (CE-CT/MRI) as the “gold standard” methods. Material and methods: We performed a retrospective, monocentric study that included 91 solid pancreatic lesions which were evaluated by CEUS and by a second- line contrast imaging technique (CT or MRI), considered as the reference method. Results: The rate of a conclusive diagnosis based on a typical enhancement pattern was 94% (78/83 cases). In 72 cases out of 83 (86.7%) there was a perfect concordance between CEUS and the “gold-standard” imaging method (CE-CT/MRI). In our study, 88% (73/83) of the pancreatic lesions were categorized as malignant due to their typical wash-out aspect in the late phase. The overall accuracy of CEUS for the differential diagnosis of solid pancreatic tumors was approximately 81%. The accuracy of CEUS for the diagnosis of hypoen- hancing pancreatic tumors was approximately 89.1%; while for the diagnosis of hyperenhancing pancreatic tumors it was ap- proximately 72.8%. Conclusion: CEUS allows the differentiation between hypo- vs. hyperenhancing pancreatic solid lesions, with a considerable diagnostic accuracy, a fundamental step in the precise diagnosis of pancreatic tumors.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (0)
CITATIONS (4)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....