Acoustic radiation force impulse quantification of spleen elasticity for assessing liver fibrosis

Verfasser / Beitragende:
[Paolo Cabassa, Marco Ravanelli, Angelo Rossini, Gianbattista Contessi, Raed Almajdalawi, Roberto Maroldi]
Ort, Verlag, Jahr:
2015
Enthalten in:
Abdominal Imaging, 40/4(2015-04-01), 738-744
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00261-014-0306-7  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00261-014-0306-7 
245 0 0 |a Acoustic radiation force impulse quantification of spleen elasticity for assessing liver fibrosis  |h [Elektronische Daten]  |c [Paolo Cabassa, Marco Ravanelli, Angelo Rossini, Gianbattista Contessi, Raed Almajdalawi, Roberto Maroldi] 
520 3 |a Purpose: The purpose of this study is to assess the correlation between liver fibrosis and spleen stiffness measured by ARFI in patients with chronic viral hepatitis (B or C) and to explore the possible complementary role of spleen and liver ARFI in grading liver fibrosis. Methods: 84 subjects (51 patients, 33 healthy volunteers) were enrolled. ARFI of the spleen and the liver was performed. Patients subsequently underwent liver biopsy for grading liver fibrosis according to Knodell scoring system. Multivariate logistic regression and decision tree analysis were adopted to test the relationship between spleen and liver stiffness (independent variables) and liver fibrosis (F1< vs. ≥F3). Leave-One-Out Cross-Validation was used for validating the predictive classification models. Area under the ROC curve (AUROCC) was used as accuracy metric. Results: Spleen ARFI was able to discriminate early (F1) from severe (≥F3) liver fibrosis with an optimal cut-off of 3.05m/s: AUROCC 0.807, cross-validated AUROCC 0.614. Liver ARFI was superior to spleen ARFI, using a cut-off of 2.11 m/s: AUROCC 0.879, cross-validated AUROCC 0.672. Neither spleen nor liver ARFI was able to differentiate healthy volunteers from F1 patients. Odds ratios derived from logistic regression were 23.1 and 9.9 for liver and spleen ARFI, respectively; resulting AUROCC was 0.905 (cross-validated 0.848). A decision tree considering the sequential use of liver and spleen ARFI with cut-off of 2.14 and 3.39m/s, respectively, resulted in AUROCC of 0.903 (cross-validated 0.7). Conclusions: Spleen ARFI has the potential to discriminate early from severe liver fibrosis. Spleen and liver ARFI, when combined, show a better discriminative power than liver ARFI alone. 
540 |a Springer Science+Business Media New York, 2014 
690 7 |a Spleen/ultrasonography  |2 nationallicence 
690 7 |a Elasticity imaging techniques  |2 nationallicence 
690 7 |a Liver fibrosis  |2 nationallicence 
690 7 |a Ultrasonography  |2 nationallicence 
690 7 |a Spleen stiffness  |2 nationallicence 
690 7 |a Liver stiffness  |2 nationallicence 
700 1 |a Cabassa  |D Paolo  |u Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy  |4 aut 
700 1 |a Ravanelli  |D Marco  |u Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy  |4 aut 
700 1 |a Rossini  |D Angelo  |u Department of Hepatology, Spedali Civili Brescia, 25123, Brescia, Italy  |4 aut 
700 1 |a Contessi  |D Gianbattista  |u Department of Hepatology, Spedali Civili Brescia, 25123, Brescia, Italy  |4 aut 
700 1 |a Almajdalawi  |D Raed  |u Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy  |4 aut 
700 1 |a Maroldi  |D Roberto  |u Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy  |4 aut 
773 0 |t Abdominal Imaging  |d Springer US; http://www.springer-ny.com  |g 40/4(2015-04-01), 738-744  |x 0942-8925  |q 40:4<738  |1 2015  |2 40  |o 261 
856 4 0 |u https://doi.org/10.1007/s00261-014-0306-7  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a review-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00261-014-0306-7  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Cabassa  |D Paolo  |u Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ravanelli  |D Marco  |u Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Rossini  |D Angelo  |u Department of Hepatology, Spedali Civili Brescia, 25123, Brescia, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Contessi  |D Gianbattista  |u Department of Hepatology, Spedali Civili Brescia, 25123, Brescia, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Almajdalawi  |D Raed  |u Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Maroldi  |D Roberto  |u Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Abdominal Imaging  |d Springer US; http://www.springer-ny.com  |g 40/4(2015-04-01), 738-744  |x 0942-8925  |q 40:4<738  |1 2015  |2 40  |o 261