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Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology

Crossref DOI link: https://doi.org/10.1007/s00330-020-06831-8

Published Online: 2020-04-08

Published Print: 2020-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Schawkat, Khoschy

Ciritsis, Alexander

von Ulmenstein, Sophie

Honcharova-Biletska, Hanna

Jüngst, Christoph

Weber, Achim

Gubler, Christoph

Mertens, Joachim

Reiner, Caecilia S.
Funding

Funding for this research was provided by:

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (181917)

Schweizerische Gesellschaft für Radiologie (-)
License Information

Text and Data Mining valid from 2020-04-08

Version of Record valid from 2020-04-08
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Article History

Received: 17 February 2020

Revised: 11 March 2020

Accepted: 24 March 2020

First Online: 8 April 2020

Compliance with ethical standards

:

: The scientific guarantor of this publication is Caecilia S. Reiner.

: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

: One of the authors (Alexander Ciritsis, PhD) has significant statistical expertise.

: Written informed consent was obtained from all subjects (patients) in this study.

: Institutional Review Board approval was obtained.

: • Prospective• Diagnostic and prognostic study• Performed at one institution

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