Semiquantitative characterization of hepatocellular carcinoma (HCC) - perfusion with contrast-enhanced ultrasound and perfusion analysis

Schacherer, Doris and Girlich, C. and Wiest, R. and Buettner, R. and Schoelmerich, J. and Feuerbach, S. and Zorger, N. and Hamer, O. W. and Jung, E. M. (2010) Semiquantitative characterization of hepatocellular carcinoma (HCC) - perfusion with contrast-enhanced ultrasound and perfusion analysis. CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, 44 (2). pp. 97-105. ISSN 1386-0291,

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Abstract

Background: At the moment, there is only poor specificity of HCC-detection in tumors smaller than 2 cm in a cirrhotic liver. Thus, efforts have to be made to optimize the distinction between regenerative nodules and HCC. Aims: The aim of our study was to describe the particular perfusion pattern of hepatocellular carcinoma using a specific quantification software. Methods: We evaluated 25 patients with proven hepatocellular carcinoma, who underwent dynamic contrast-enhanced ultrasound (CEUS) using a second generation contrast agent (SonoVue (R), Bracco, Germany). Retrospectively, we applied the quantification software Qontrast (R) (Bracco, Milan, Italy) to obtain contrast-enhanced sonographic perfusion maps for each lesion. Results: We found a close positive correlation of the perfusion parameters peak, time-to-peak and regional blood volume between the entire tumors, the center (center/total) and the periphery of the tumors (periphery/total), respectively. Moreover, we found significant higher peak values, a significant higher regional blood volume and a trend to lower time-to-peak in the center of the tumors compared to the tumor periphery. Conclusion: These results suggest a better established vascular bed in the center of the tumors. This could be a sonographic marker of HCC in contrast to regenerative nodules.

Item Type: Article
Uncontrolled Keywords: CELLULAR-DIFFERENTIATION; TUMOR MICROVESSELS; ALPHA-FETOPROTEIN; CT; AGENT; SONOGRAPHY; PATTERNS; DENSITY; LESIONS; BR1;
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Innere Medizin I
Medicine > Lehrstuhl für Röntgendiagnostik
Depositing User: Dr. Gernot Deinzer
Date Deposited: 17 Aug 2020 05:41
Last Modified: 17 Aug 2020 05:41
URI: https://pred.uni-regensburg.de/id/eprint/25415

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