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.
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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
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DOI: https://doi.org/10.1007/978-3-319-95921-4_4
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