Prediction of Liver Function Based on DCE-CT

Rippel O, Truhn D, Thüring J, Haarburger C, Kuhl CK, Merhof D (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Berlin Heidelberg

Pages Range: 8-13

Conference Proceedings Title: Informatik aktuell

Event location: Lübeck, DEU

ISBN: 9783658253257

DOI: 10.1007/978-3-658-25326-4_3

Abstract

Liver function analysis is crucial for staging and treating chronic liver diseases (CLD). Despite CLD being one of the most prevalent diseases of our time, research regarding liver in the Medical Image Computing community is often focused on diagnosing and treating CLD’s long term effects such as the occurance of malignancies, e.g. hepatocellular carcinoma. The Child-Pugh (CP) score is a surrogate for liver function used to quantify liver cirrhosis, a common CLD, and consists of 3 disease progression stages A, B and C. While a correlation between CP and liver specific contrast agent uptake for dynamic conrast enhanced (DCE)-MRI has been found, no such correlation has been shown for DCE-CT scans, which are more commonly used in clinical practice. Using a transfer learning approach, we train a CNN for prediction of CP based on DCE-CT images of the liver alone. Agreement between the achieved CNN based scoring and ground truth CP scores is statistically significant, and a rank correlation of 0.43, similar to what is reported for DCE-MRI, was found. Subsequently, a statistically significant CP classifier with an overall accuracy of 0.57 was formed by employing clinically used cutoff values.

Involved external institutions

Universitätsklinikum Aachen (UKA) DE Germany (DE) Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE)

How to cite

APA:

Rippel, O., Truhn, D., Thüring, J., Haarburger, C., Kuhl, C.K., & Merhof, D. (2019). Prediction of Liver Function Based on DCE-CT. In Heinz Handels, Klaus H. Maier-Hein, Thomas M. Deserno, Thomas Tolxdorff, Andreas Maier, Christoph Palm (Eds.), Informatik aktuell (pp. 8-13). Lübeck, DEU: Springer Berlin Heidelberg.

MLA:

Rippel, Oliver, et al. "Prediction of Liver Function Based on DCE-CT." Proceedings of the Workshop on Bildverarbeitung fur die Medizin, 2019, Lübeck, DEU Ed. Heinz Handels, Klaus H. Maier-Hein, Thomas M. Deserno, Thomas Tolxdorff, Andreas Maier, Christoph Palm, Springer Berlin Heidelberg, 2019. 8-13.

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