Literature DB >> 11832412

High-resolution magnetic resonance imaging tracks changes in organ and tissue mass in obese and aging rats.

Haiying Tang1, Joseph R Vasselli, Ed X Wu, Carol N Boozer, Dympna Gallagher.   

Abstract

Magnetic resonance imaging (MRI) has the ability to discriminate between various soft tissues in vivo. Whole body, specific organ, total adipose tissue (TAT), intra-abdominal adipose tissue (IAAT), and skeletal muscle (SM) weights determined by MRI were compared with weights determined by dissection and chemical analysis in two studies with male Sprague-Dawley rats. A 4.2-T MRI machine acquired high-resolution, in vivo, longitudinal whole body images of rats as they developed obesity or aged. Weights of the whole body and specific tissues were determined using computer image analysis software, including semiautomatic segmentation algorithms for volume calculations. High correlations were found for body weight (r = 0.98), TAT (r = 0.99), and IAAT (r = 0.98) between MRI and dissection and chemical analyses. MRI estimated the weight of the brain, kidneys, and spleen with high accuracy (r > 0.9), but overestimated IAAT, SM, and liver volumes. No differences were detected in organ weights using MRI and dissection measurements. Longitudinal MRI measurements made during the development of obesity and aging accurately represented changes in organ and tissue mass.

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Year:  2002        PMID: 11832412     DOI: 10.1152/ajpregu.0527.2001

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  17 in total

1.  Volume estimates by imaging methods: model comparisons with visible woman as the reference.

Authors:  Wei Shen; ZiMian Wang; Haiying Tang; Stanley Heshka; Mark Punyanitya; Shankuan Zhu; Jianbo Lei; Steven B Heymsfield
Journal:  Obes Res       Date:  2003-02

Review 2.  Adipose tissue quantification by imaging methods: a proposed classification.

Authors:  Wei Shen; ZiMian Wang; Mark Punyanita; Jianbo Lei; Ahmet Sinav; John G Kral; Celina Imielinska; Robert Ross; Steven B Heymsfield
Journal:  Obes Res       Date:  2003-01

3.  Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images.

Authors:  Xiang Yan Ruan; Dympna Gallagher; Tamara Harris; Jeanine Albu; Steven Heymsfield; Patrick Kuznia; Stanley Heshka
Journal:  J Appl Physiol (1985)       Date:  2006-10-19

4.  Validation of quantitative magnetic resonance for the determination of body composition of mice.

Authors:  A S Jones; M S Johnson; T R Nagy
Journal:  Int J Body Compos Res       Date:  2009

5.  Evaluation of adipose tissue distribution in obese fa/fa Zucker rats by in vivo MR imaging: effects of peroxisome proliferator-activated receptor agonists.

Authors:  R Fissoune; N Pellet; L Chaabane; F Contard; D Guerrier; A Briguet
Journal:  MAGMA       Date:  2004-12-28       Impact factor: 2.310

6.  Altered upper airway and soft tissue structures in the New Zealand Obese mouse.

Authors:  Michael J Brennick; Allan I Pack; Kei Ko; Eugene Kim; Stephen Pickup; Greg Maislin; Richard J Schwab
Journal:  Am J Respir Crit Care Med       Date:  2008-11-07       Impact factor: 21.405

7.  Reproducible MRI measurement of adipose tissue volumes in genetic and dietary rodent obesity models.

Authors:  David H Johnson; Chris A Flask; Paul R Ernsberger; Wilbur C K Wong; David L Wilson
Journal:  J Magn Reson Imaging       Date:  2008-10       Impact factor: 4.813

8.  In vivo MRI quantification of individual muscle and organ volumes for assessment of anabolic steroid growth effects.

Authors:  Ed X Wu; Haiying Tang; Christopher Tong; Steve B Heymsfield; Joseph R Vasselli
Journal:  Steroids       Date:  2007-12-23       Impact factor: 2.668

9.  In vivo MRI evaluation of anabolic steroid precursor growth effects in a guinea pig model.

Authors:  Haiying Tang; Joseph R Vasselli; Christopher Tong; Steven B Heymsfield; Ed X Wu
Journal:  Steroids       Date:  2009-03-20       Impact factor: 2.668

10.  The role of insulin receptor substrate 2 in hypothalamic and beta cell function.

Authors:  Agharul I Choudhury; Helen Heffron; Mark A Smith; Hind Al-Qassab; Allison W Xu; Colin Selman; Marcus Simmgen; Melanie Clements; Marc Claret; Gavin Maccoll; David C Bedford; Kazunari Hisadome; Ivan Diakonov; Vazira Moosajee; Jimmy D Bell; John R Speakman; Rachel L Batterham; Gregory S Barsh; Michael L J Ashford; Dominic J Withers
Journal:  J Clin Invest       Date:  2005-03-24       Impact factor: 14.808

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