Literature DB >> 15531233

Magnetic resonance imaging provides accurate and precise volume determination of the regenerating mouse liver.

Daniel Inderbitzin1, Markus Gass, Guido Beldi, Eric Ayouni, Arno Nordin, Daniel Sidler, Beat Gloor, Daniel Candinas, Christoforos Stoupis.   

Abstract

Direct and repetitive noninvasive determination of the time course and the strain-specific hepatic regenerative capacity after partial hepatectomy can extend our knowledge about the basic mechanisms of liver regeneration and repair. The aim of this study was to develop a magnetic resonance (MR)-based volumetric procedure to measure the hepatic volume in the regenerating mouse liver. In Balb-C mice (n = 14), varying amounts of liver tissue were resected and MR imaging was performed 24 hours later in a 1.5 Tesla Magnet Unit. Three dimensional (3D) T1- (volumetric interpolated breath-hold examination [VIBE] sequence) and T2-weighted images were acquired with continuous 1-mm thin slices. Animals with and without intravenous administration of paramagnetic contrast agents were compared. Immediately after MR examination, mice were euthanized and livers were weighted. The liver volume was determined on MR images using Cavalieri's method and linear regression analysis was performed from the data obtained. Correlation coefficients between the liver volume measured by MR and the liver weight were 0.98 (T1) and 0.94 (T2) in the group without paramagnetic contrast injection and 0.70 (T1) and 0.96 (T2) after paramagnetic contrast application. We conclude that MR-based liver volumetry allows precise liver volume measurement during hepatic regeneration after partial hepatectomy in mice and can be a valuable tool with regard to experimental hepatology.

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Year:  2004        PMID: 15531233     DOI: 10.1016/j.gassur.2004.07.013

Source DB:  PubMed          Journal:  J Gastrointest Surg        ISSN: 1091-255X            Impact factor:   3.452


  12 in total

1.  Longitudinal magnetic resonance imaging quantitation of rat liver regeneration after partial hepatectomy.

Authors:  Paul D Hockings; Toby Roberts; Simon P Campbell; David G Reid; Robert W Greenhill; Stephen R Polley; Paul Nelson; Timothy A Bertram; Kerstin Kramer
Journal:  Toxicol Pathol       Date:  2002 Sep-Oct       Impact factor: 1.902

2.  Variations in regenerative growth of mouse liver following partial hepatectomy.

Authors:  J E Paulsen
Journal:  In Vivo       Date:  1990 Jul-Aug       Impact factor: 2.155

3.  Strain-dependent differences in DNA synthesis and gene expression in the regenerating livers of CB57BL/6J and C3H/HeJ mice.

Authors:  L M Bennett; P J Farnham; N R Drinkwater
Journal:  Mol Carcinog       Date:  1995-09       Impact factor: 4.784

4.  Assessment of liver regeneration by quantitative MRI analysis.

Authors:  A Pleskovic; F Demsar; D Suput
Journal:  Pflugers Arch       Date:  1996       Impact factor: 3.657

5.  Involvement of p21 and p27 in the regulation of CDK activity and cell cycle progression in the regenerating liver.

Authors:  J H Albrecht; R Y Poon; C L Ahonen; B M Rieland; C Deng; G S Crary
Journal:  Oncogene       Date:  1998-04-23       Impact factor: 9.867

Review 6.  Liver regeneration.

Authors:  G K Michalopoulos; M C DeFrances
Journal:  Science       Date:  1997-04-04       Impact factor: 47.728

7.  Motion suppression improves quantification of rat liver volume in vivo by magnetic resonance imaging.

Authors:  M D Cockman; D A Hayes; B R Kuzmak
Journal:  Magn Reson Med       Date:  1993-09       Impact factor: 4.668

8.  [Alpha-fetoprotein synthesis during liver regeneration in adult mice of different strains].

Authors:  V S Poltoranina; T V Sorokina
Journal:  Biull Eksp Biol Med       Date:  1978

Review 9.  Animal models of liver regeneration.

Authors:  Daniel Palmes; Hans-Ullrich Spiegel
Journal:  Biomaterials       Date:  2004-04       Impact factor: 12.479

10.  Vertical LM sectioning and parallel CT scanning designs for stereology: application to human lung.

Authors:  J C Pache; N Roberts; P Vock; A Zimmermann; L M Cruz-Orive
Journal:  J Microsc       Date:  1993-04       Impact factor: 1.758

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4.  Granulocyte colony-stimulating factor supports liver regeneration in a small-for-size liver remnant mouse model.

Authors:  Daniel Inderbitzin; Guido Beldi; Daniel Sidler; Peter Studer; Adrian Keogh; Sonja Bisch-Knaden; Rosy Weimann; Andreas Kappeler; Beat Gloor; Daniel Candinas
Journal:  J Gastrointest Surg       Date:  2007-03       Impact factor: 3.452

5.  Weighted Gene Coexpression Network Analysis in Mouse Livers following Ischemia-Reperfusion and Extensive Hepatectomy.

Authors:  Wei Liu; Yongquan Shi; Tao Cheng; Ruixue Jia; Ming-Zhong Sun; Shuqing Liu; Qinlong Liu
Journal:  Evid Based Complement Alternat Med       Date:  2021-12-30       Impact factor: 2.629

6.  Prediction of Liver Weight Recovery by an Integrated Metabolomics and Machine Learning Approach After 2/3 Partial Hepatectomy.

Authors:  Runbin Sun; Haokai Zhao; Shuzhen Huang; Ran Zhang; Zhenyao Lu; Sijia Li; Guangji Wang; Jiye Aa; Yuan Xie
Journal:  Front Pharmacol       Date:  2021-11-30       Impact factor: 5.810

7.  Deep learning-enabled multi-organ segmentation in whole-body mouse scans.

Authors:  Oliver Schoppe; Chenchen Pan; Javier Coronel; Hongcheng Mai; Zhouyi Rong; Mihail Ivilinov Todorov; Annemarie Müskes; Fernando Navarro; Hongwei Li; Ali Ertürk; Bjoern H Menze
Journal:  Nat Commun       Date:  2020-11-06       Impact factor: 14.919

  7 in total

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