Literature DB >> 25086937

Perfusion imaging in liver MRI.

Choon Hua Thng1, Tong San Koh2, David Collins3, Dow-Mu Koh4.   

Abstract

Liver perfusion magnetic resonance (MR) imaging is currently being actively investigated as a functional imaging technique that provides physiologic information on the microcirculation and microenvironment of liver tumors and the underlying liver. It has gained importance in light of antiangiogenic therapy for hepatocellular carcinoma and colorectal liver metastases. This article explains the various model-free and model-based approaches for liver perfusion MR imaging and their relative clinical utility. Relevant published works are summarized for each approach so that the reader can understand their relative strengths and weaknesses, to make an informed choice when performing liver perfusion MR imaging studies.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cirrhosis; Dynamic contrast enhancement; Functional imaging; Hepatocellular carcinoma; Liver; MR imaging; Metastases; Perfusion

Mesh:

Substances:

Year:  2014        PMID: 25086937     DOI: 10.1016/j.mric.2014.04.011

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  3 in total

1.  Perfusion computed tomography for detection of hepatocellular carcinoma in patients with liver cirrhosis.

Authors:  Michael A Fischer; Nikolaos Kartalis; Aristeidis Grigoriadis; Louiza Loizou; Per Stål; Bertil Leidner; Peter Aspelin; Torkel B Brismar
Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

2.  The impact of injector-based contrast agent administration in time-resolved MRA.

Authors:  Johannes Budjan; Ulrike I Attenberger; Stefan O Schoenberg; Hubertus Pietsch; Gregor Jost
Journal:  Eur Radiol       Date:  2017-12-07       Impact factor: 5.315

3.  Computed tomography (CT) and magnetic resonance imaging (MRI) of diffuse liver disease: a multiparametric predictive modelling algorithm can aid categorization of liver parenchyma.

Authors:  Ricardo Donners; Carmen Zaugg; Julian E Gehweiler; Tuyana Boldanova; Markus H Heim; Luigi M Terracciano; Daniel T Boll
Journal:  Quant Imaging Med Surg       Date:  2022-02
  3 in total

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