Literature DB >> 2630847

Nuclear magnetic resonance relaxometry of the normal heart: relationship between collagen content and relaxation times of the four chambers.

T D Scholz1, S R Fleagle, T L Burns, D J Skorton.   

Abstract

The use of nuclear magnetic resonance (NMR) relaxation time measurements for characterization of abnormal cardiac tissue depends upon knowledge of variations of relaxation times of normal myocardium and determinants of these variations. We calculated in vitro NMR T1 and T2 relaxation times of canine myocardium from the four cardiac chambers, and determined hydroxyproline concentration (as a measure of collagen) and percent water content of the samples. We found both water content and T1 relaxation time of the right ventricle to be significantly greater than the left atrium (p less than 0.05). T2 relaxation time of the left ventricle was found to be shorter than each of the other three chambers (p less than 0.05). There were significant correlations between the spin-lattice relaxation time and both percent water content (r = 0.58) and hydroxyproline concentration (r = 0.45). A significant correlation was also found between T2 relaxation time and hydroxyproline concentration (r = 0.49). When T1 and T2 were adjusted for water and hydroxyproline content, there was no longer any evidence for significant interchamber differences for either T1 or T2. These data suggest that differences in NMR relaxation times exist among the four chambers of the normal canine heart. Furthermore, a major determinant of myocardial spin-lattice relaxation time is tissue water content while both collagen content and percent water content significantly contribute to variability in cardiac chamber T2 relaxation times.

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Year:  1989        PMID: 2630847     DOI: 10.1016/0730-725x(89)90533-x

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  8 in total

1.  Characterization of alterations in diabetic myocardial tissue using high resolution MRI.

Authors:  Rajaprasad Loganathan; Mehmet Bilgen; Baraa Al-Hafez; Irina V Smirnova
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2.  Myocardial T1 mapping: techniques and potential applications.

Authors:  Jeremy R Burt; Stefan L Zimmerman; Ihab R Kamel; Marc Halushka; David A Bluemke
Journal:  Radiographics       Date:  2014 Mar-Apr       Impact factor: 5.333

3.  Tissue Characterization in Cardiology: Moving Beyond Function.

Authors:  George Markousis-Mavrogenis; Flora Bacopoulou; Dimitrios Vlachakis; Sophie Mavrogeni
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 4.  T2 mapping in myocardial disease: a comprehensive review.

Authors:  Aaron T O'Brien; Katarzyna E Gil; Juliet Varghese; Orlando P Simonetti; Karolina M Zareba
Journal:  J Cardiovasc Magn Reson       Date:  2022-06-06       Impact factor: 6.903

5.  MR relaxometry and perfusion of the myocardium in spontaneously hypertensive rat: correlation with histopathology and effect of anti-hypertensive therapy.

Authors:  Jérôme Caudron; Paul Mulder; Lionel Nicol; Vincent Richard; Christian Thuillez; Jean-Nicolas Dacher
Journal:  Eur Radiol       Date:  2013-04-17       Impact factor: 5.315

Review 6.  Correlation of electrocardiogram and regional cardiac magnetic resonance imaging findings in ST-elevation myocardial infarction: a literature review.

Authors:  Irina Rinta-Kiikka; Suvi Tuohinen; Pertti Ryymin; Petteri Kosonen; Heini Huhtala; Anton Gorgels; Antonio Bayés de Luna; Kjell Nikus
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-09-09       Impact factor: 1.468

7.  Evaluation of post-contrast myocardial t1 in duchenne muscular dystrophy using cardiac magnetic resonance imaging.

Authors:  Jonathan H Soslow; Bruce M Damon; Benjamin R Saville; Zengqi Lu; W Bryan Burnette; Mark A Lawson; David A Parra; Douglas B Sawyer; Larry W Markham
Journal:  Pediatr Cardiol       Date:  2014-07-29       Impact factor: 1.655

8.  T2-weighted cardiac magnetic resonance image and myocardial biomarker in hypertrophic cardiomyopathy.

Authors:  Shi Chen; Liwei Huang; Qing Zhang; Jie Wang; Yucheng Chen
Journal:  Medicine (Baltimore)       Date:  2020-06-05       Impact factor: 1.817

  8 in total

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