Literature DB >> 17404589

Technology insight: advances in liver imaging.

Okka W Hamer1, Klaus Schlottmann, Claude B Sirlin, Stefan Feuerbach.   

Abstract

The role of diagnostic imaging in the assessment of liver disease continues to gain in importance. The classic techniques used for liver imaging are ultrasonography, CT and MRI. In the past decade, there have been significant advances in all three techniques. In this article, we discuss the advances in ultrasonography, CT and MRI that have improved assessment of focal and diffuse liver disease, including the development of hardware, software, processing algorithms and procedural innovations.

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Year:  2007        PMID: 17404589     DOI: 10.1038/ncpgasthep0766

Source DB:  PubMed          Journal:  Nat Clin Pract Gastroenterol Hepatol        ISSN: 1743-4378


  5 in total

1.  Differentiation of focal liver lesions using three-dimensional ultrasonography: retrospective and prospective studies.

Authors:  Wen Luo; Kazushi Numata; Manabu Morimoto; Akito Nozaki; Michio Ueda; Masaaki Kondo; Satoshi Morita; Katsuaki Tanaka
Journal:  World J Gastroenterol       Date:  2010-05-07       Impact factor: 5.742

2.  Changes in the management of benign liver tumours: an analysis of 285 patients.

Authors:  James J Mezhir; Lindsay T Fourman; Richard K Do; Brian Denton; Peter J Allen; Michael I D'Angelica; Ronald P DeMatteo; Yuman Fong; William R Jarnagin
Journal:  HPB (Oxford)       Date:  2012-09-21       Impact factor: 3.647

Review 3.  Steatosis and hepatitis C.

Authors:  Jamak Modaresi Esfeh; Kianoush Ansari-Gilani
Journal:  Gastroenterol Rep (Oxf)       Date:  2015-08-13

4.  Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization.

Authors:  Tatjana Opacic; Stefanie Dencks; Benjamin Theek; Marion Piepenbrock; Dimitri Ackermann; Anne Rix; Twan Lammers; Elmar Stickeler; Stefan Delorme; Georg Schmitz; Fabian Kiessling
Journal:  Nat Commun       Date:  2018-04-18       Impact factor: 14.919

5.  Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging.

Authors:  Moritz Gross; Michael Spektor; Ariel Jaffe; Ahmet S Kucukkaya; Simon Iseke; Stefan P Haider; Mario Strazzabosco; Julius Chapiro; John A Onofrey
Journal:  PLoS One       Date:  2021-12-01       Impact factor: 3.240

  5 in total

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