Abstract
Model for End-stage Liver Disease (MELD) is a common score used in clinical practice to estimate the prognostic outcome of cirrhotic patients. This score is obtained from laboratory results.
Here a novel method is proposed to estimate the MELD score based on textural information extracted from normalized ultrasound (US) images of liver parenchyma. The information obtained from the co-ocorrence matrix and the monogenic decomposition of the image is linearly combined to compute the score. The application of US data for prognosis purposes is also a noteworthy novelty of this paper.
A dataset of 82 cirrhotic patients is used in this work. An optimal cut-off from a ROC analysis lead to an accuracy of 80% and an AUROC of 0.801 in the prognosis prediction. No statistical differences were found between the MELD score and the proposed US score and a strong correlation (0.65 p < 0.01) was attained.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Marinho, R., Giria, J., Moura, M.: Rising costs and hospital admissions for hepatocellular carcinoma in portugal (1993-2005). World J. Gastroenterol. 13(10), 1522–1527 (2007)
Aube, C., Oberti, F., Korali, N., Namour, M.-A., Loisel, D., Tanguy, J.-Y., Valsesia, E., Pilette, C., Rousselet, M.C., Bedossa, P., Rifflet, H., Maiga, M.Y., Penneau-Fontbonne, D., Caron, C., Cales, P.: Ultrasonographic diagnosis of hepatic fibrosis or cirrhosis. Journal of Hepatology 30(3), 472–478 (1999)
Allan, R., Thoirs, K., Phillips, M.: Accuracy of ultrasound to identify chronic liver disease. World J. Gastroenterol. 28(16), 3510–3520 (2010)
D’Amico, G., Garcia-Tsao, G., Pagliaro, L.: Natural history and prognostic indicators of survival in cirrhosis: Systematic review of 118 studies. Journal of Hepatology 44(1), 217–231 (2006)
Cholongitas, E., Papatheodoridis, G.V., Vangeli, M., Terreni, N., Patch, D., Burroughs, A.K.: Systematic review: the model for end-stage liver disease: should it replace child-pugh’s classification for assessing prognosis in cirrhosis? Alimentary Pharmacology & Therapeutics 22(11-12), 1079–1089 (2005)
Wiesner, R., Edwards, E., Freeman, R., Harper, A., Kim, R., Kamath, P., Kremers, W., Lake, J., Howard, T., Merion, R.M., Wolfe, R.A., Krom, R.: Model for end-stage liver disease (meld) and allocation of donor livers. Gastroenterology 124, 91–96 (2003)
Yan, G., Duan, Y., Ruan, L., Chao, T., Yang, Y.: A study on the relationship between ultrasonographic score and clinical score (meld, cpt) in cirrhosis. Hepatogastroenterology 52, 1329–1333 (2005)
Seabra, J.C., Sanches, J.A.M.: On estimating de-speckled and speckle components from b-mode ultrasound images. In: Proceedings of the 2010 IEEE International Conference on Biomedical Imaging: from Nano to Macro. ISBI 2010, pp. 284–287. IEEE Press (2010)
Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Transactions on Systems, Man and Cybernetics SMC-3(6), 610–621 (1973)
Felsberg, M., Sommer, G.: The monogenic signal. IEEE Transactions on Signal Processing 49(12), 3136–3144 (2001)
Kovesi, P.: Phase congruency: A low-level image invariant. Psychological Research, 136–148 (2000)
Rawlings, J.O., Pantula, S.G., Dickey, D.A.: Applied regression analysis: a research tool. Springer (1998)
Zheng, R., Wang, Q., Lu, M., Xie, S., Ren, J., Su, Z., Cai, Y., Yao, J.: Liver fibrosis in chronic viral hepatitis: An ultrasonographic study. World J. Gastroenterol. 9(11), 2484–2489 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ribeiro, R., Marinho, R.T., Sanches, J.M. (2013). Cirrhosis Prognostic Quantification with Ultrasound: An Approximation to Model for End-Stage Liver Disease. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38628-2_65
Download citation
DOI: https://doi.org/10.1007/978-3-642-38628-2_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38627-5
Online ISBN: 978-3-642-38628-2
eBook Packages: Computer ScienceComputer Science (R0)