Literature DB >> 35171314

[Histopathological evaluation of nonalcoholic fatty liver disease : Automated evaluation of liver biopsies].

Nada Abedin1, Andrea Tannapfel2, Peter J Wild3, Iris Tischoff2.   

Abstract

Nonalcoholic fatty liver disease (NAFLD) is one of the most frequent chronic liver diseases with a rising incidence in industrial countries. This is accompanied by an increased prevalence for NAFLD-associated liver cirrhosis and an increased risk for developing hepatocellular carcinoma. The current gold standard in the diagnostics is a liver biopsy. The histopathological evaluation is performed through semiquantitative scoring. To optimize the standardization and quantification of the existing scoring systems, in the coming years procedures with artificial intelligence, such as deep learning models could be used. Fields of application could be the supplementation of conventional histopathological diagnostics, the identification of new predictive parameters for estimating the prognosis and the prediction of a possible response to treatment.
© 2022. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.

Entities:  

Keywords:  Artificial intelligence; Biopsy; Deep learning; Scoring systems; Steatohepatitis

Mesh:

Year:  2022        PMID: 35171314     DOI: 10.1007/s00292-022-01052-w

Source DB:  PubMed          Journal:  Pathologe        ISSN: 0172-8113            Impact factor:   1.011


  2 in total

Review 1.  Trailblazing precision medicine in Europe: A joint view by Genomic Medicine Sweden and the Centers for Personalized Medicine, ZPM, in Germany.

Authors:  Albrecht Stenzinger; Anders Edsjö; Carolin Ploeger; Mikaela Friedman; Stefan Fröhling; Valtteri Wirta; Thomas Seufferlein; Johan Botling; Justus Duyster; Michael Akhras; Robert Thimme; Thoas Fioretos; Michael Bitzer; Lucia Cavelier; Peter Schirmacher; Nisar Malek; Richard Rosenquist
Journal:  Semin Cancer Biol       Date:  2021-05-24       Impact factor: 17.012

2.  A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH.

Authors:  Amaro Taylor-Weiner; Harsha Pokkalla; Ling Han; Catherine Jia; Ryan Huss; Chuhan Chung; Hunter Elliott; Benjamin Glass; Kishalve Pethia; Oscar Carrasco-Zevallos; Chinmay Shukla; Urmila Khettry; Robert Najarian; Ross Taliano; G Mani Subramanian; Robert P Myers; Ilan Wapinski; Aditya Khosla; Murray Resnick; Michael C Montalto; Quentin M Anstee; Vincent Wai-Sun Wong; Michael Trauner; Eric J Lawitz; Stephen A Harrison; Takeshi Okanoue; Manuel Romero-Gomez; Zachary Goodman; Rohit Loomba; Andrew H Beck; Zobair M Younossi
Journal:  Hepatology       Date:  2021-06-24       Impact factor: 17.425

  2 in total

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