Abstract
Liver disease affects millions of people worldwide and auto-immune disease in particular has unmet needs for improvement of non-invasive methods for risk-stratification. Especially in cases where clinical markers are inconclusive. In this study we develop novel imaging features for quantitative MRI and show that these features improve the differentiation of AIH from biliary disease in challenging cases, where including imaging features with clinical markers improved the AUROC from 0.76 to 0.85.
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
Similar content being viewed by others
References
Baek, H.J., Kim, H.S., Kim, N., Choi, Y.J., Kim, Y.J.: Percent change of perfusion skewness and kurtosis: a potential imaging biomarker for early treatment response in patients with newly diagnosed glioblastomas. Radiology 264(3), 834–843 (2012). https://doi.org/10.1148/radiol.12112120. pMID: 22771885
Banerjee, R., et al.: Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. J. Hepatol. 60(1), 69–77 (2014)
Chundru, S., Kalb, B., Arif-Tiwari, H., Sharma, P., Costello, J., Martin, D.: MRI of diffuse liver disease: characteristics of acute and chronic diseases. Diagn. Interv. Radiol. 20(3), 200–208 (2014)
Irving, B., et al.: Deep quantitative liver segmentation and vessel exclusion to assist in liver assessment. In: Valdés Hernández, M., González-Castro, V. (eds.) MIUA 2017. CCIS, vol. 723, pp. 663–673. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60964-5_58
Irving, B., et al.: maskSLIC: regional superpixel generation with application to local pathology characterisation in medical images. CoRR abs/1606.09518 (2017). http://arxiv.org/abs/1606.09518
Pavlides, M., et al.: Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease. J. Hepatol. 64(2), 308–315 (2016)
Regev, A., et al.: Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection. Am. J. Gastroenterol. 97(10), 2614 (2002)
Wang, F.S., Fan, J.G., Zhang, Z., Gao, B., Wang, H.Y.: The global burden of liver disease: the major impact of China. Hepatology 60(6), 2099–2108 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Arndtz, K. et al. (2018). Novel Quantitative Magnetic Resonance Imaging Features with Liver Function Tests to Distinguish Parenchymal and Biliary Disease. In: Nixon, M., Mahmoodi, S., Zwiggelaar, R. (eds) Medical Image Understanding and Analysis. MIUA 2018. Communications in Computer and Information Science, vol 894. Springer, Cham. https://doi.org/10.1007/978-3-319-95921-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-95921-4_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-95920-7
Online ISBN: 978-3-319-95921-4
eBook Packages: Computer ScienceComputer Science (R0)