Literature DB >> 1831609

Determination of rat heart morphology and function in vivo in two models of cardiac hypertrophy by means of magnetic resonance imaging.

M Rudin1, B Pedersen, K Umemura, W Zierhut.   

Abstract

Quantitative magnetic resonance imaging (MRI) was applied to assess structural and functional parameters of the rat heart in vivo. Using ECG and respiratory triggering, MR images were obtained at different time points during the cardiac cycle. This allowed accurate determinations of the left ventricular (LV) mass, wall thickness, LV end-systolic and end-diastolic volumes, stroke volume, and ejection fraction. LV mass determined by MRI showed and excellent linear correlation with post mortem gravimetric determination of LV weight. MRI was then used to examine the pathophysiological changes in two models of LV hypertrophy. In one group of animals the aortic arch was banded to an outer diameter of 1.0 mm to elicit a pressure overload on the LV. A second group was subjected to a volume overload due to graded disruption of the aortic valve. Although both models exhibited a similar degree of LV hypertrophy as shown by the LV weight/body weight ratio, important functional and structural differences were revealed by MRI. Aortic stenosis resulted in an increase in wall thickness, whereas stroke volume and ejection fraction did not differ compared to control animals. In contrast, aortic valve insufficiency did not affect LV wall thickness, however, LV chamber volume as well as stroke volume were markedly increased. Ejection fraction was significantly reduced in these animals. In conclusion, MRI allows the reliable in vivo determination of important structural and functional parameters of hearts in small rodents.

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Year:  1991        PMID: 1831609     DOI: 10.1007/bf02190549

Source DB:  PubMed          Journal:  Basic Res Cardiol        ISSN: 0300-8428            Impact factor:   17.165


  13 in total

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Journal:  Magn Reson Med       Date:  1990-08       Impact factor: 4.668

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Authors:  F H Messerli
Journal:  Circulation       Date:  1990-03       Impact factor: 29.690

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Journal:  J Cardiovasc Pharmacol       Date:  1989       Impact factor: 3.105

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Journal:  Cardiovasc Intervent Radiol       Date:  1986       Impact factor: 2.740

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Journal:  Radiology       Date:  1985-06       Impact factor: 11.105

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Journal:  Eur Heart J       Date:  1986-12       Impact factor: 29.983

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Authors:  R Jacob; R W Gülch
Journal:  Basic Res Cardiol       Date:  1988 Sep-Oct       Impact factor: 17.165

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Authors:  A M Gerdes; S E Campbell; D R Hilbelink
Journal:  Lab Invest       Date:  1988-12       Impact factor: 5.662

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  7 in total

Review 1.  In-vivo cardiac studies in animals using magnetic resonance techniques: experimental aspects and MR readouts.

Authors:  M Rudin; P R Allegrini; N Beckmann; D Ekatodramis; D Laurent
Journal:  MAGMA       Date:  2000-11       Impact factor: 2.310

2.  Magnetic resonance imaging analysis of left ventricular function in normal and spontaneously hypertensive rats.

Authors:  R G Wise; C L Huang; G A Gresham; A I Al-Shafei; T A Carpenter; L D Hall
Journal:  J Physiol       Date:  1998-12-15       Impact factor: 5.182

3.  Magnetic resonance imaging planes for the 3-dimensional characterisation of human coronary arteries.

Authors:  A R Gates; C L Huang; J J Crowley; A Gresham; L M Shapiro; T A Carpenter; L D Hall
Journal:  J Anat       Date:  1994-10       Impact factor: 2.610

4.  Interventional magnetic resonance imaging for guiding gene and cell transfer in the heart.

Authors:  I M Barbash; J Leor; M S Feinberg; A Tessone; S Aboulafia-Etzion; A Orenstein; J Ruiz-Cabello; J S Cohen; Y Mardor
Journal:  Heart       Date:  2004-01       Impact factor: 5.994

5.  Baroreflex and beta-adrenoceptor function are diminished in rat cardiac hypertrophy due to volume overload.

Authors:  K Umemura; W Zierhut; U Quast; R P Hof
Journal:  Basic Res Cardiol       Date:  1992 May-Jun       Impact factor: 17.165

6.  Pharmacological actions of SDZ 218-135, a novel positive inotropic agent.

Authors:  W Zierhut; R Salzmann; G Bormann; U T Rüegg; R P Hof
Journal:  Cardiovasc Drugs Ther       Date:  1994-04       Impact factor: 3.727

7.  High-Throughput Method for Automated Colony and Cell Counting by Digital Image Analysis Based on Edge Detection.

Authors:  Priya Choudhry
Journal:  PLoS One       Date:  2016-02-05       Impact factor: 3.240

  7 in total

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