Literature DB >> 26268158

Characterization of the ultrashort-TE (UTE) MR collagen signal.

Adrienne G Siu1,2,3, Andrew Ramadeen4, Xudong Hu4, Lily Morikawa5, Li Zhang1,3, Justin Y C Lau1,3, Garry Liu1,3, Mihaela Pop1,3, Kim A Connelly2,4,6, Paul Dorian2,4,6, Graham A Wright1,2,3.   

Abstract

Although current cardiovascular MR (CMR) techniques for the detection of myocardial fibrosis have shown promise, they nevertheless depend on gadolinium-based contrast agents and are not specific to collagen. In particular, the diagnosis of diffuse myocardial fibrosis, a precursor of heart failure, would benefit from a non-invasive imaging technique that can detect collagen directly. Such a method could potentially replace the need for endomyocardial biopsy, the gold standard for the diagnosis of the disease. The objective of this study was to measure the MR properties of collagen using ultrashort TE (UTE), a technique that can detect short T2* species. Experiments were performed in collagen solutions. Via a model of bi-exponential T2* with oscillation, a linear relationship (slope = 0.40 ± 0.01, R(2) = 0.99696) was determined between the UTE collagen signal fraction associated with these properties and the measured collagen concentration in solution. The UTE signal of protons in the collagen molecule was characterized as having a mean T2* of 0.75 ± 0.05 ms and a mean chemical shift of -3.56 ± 0.01 ppm relative to water at 7 T. The results indicated that collagen can be detected and quantified using UTE. A knowledge of the collagen signal properties could potentially be beneficial for the endogenous detection of myocardial fibrosis.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  UTE; collagen; endogenous contrast methods; myocardial fibrosis; relaxometry

Mesh:

Substances:

Year:  2015        PMID: 26268158     DOI: 10.1002/nbm.3372

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  6 in total

Review 1.  Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical Trials.

Authors:  Pierre G Carlier; Benjamin Marty; Olivier Scheidegger; Paulo Loureiro de Sousa; Pierre-Yves Baudin; Eduard Snezhko; Dmitry Vlodavets
Journal:  J Neuromuscul Dis       Date:  2016-03-03

2.  Can ultrashort-TE (UTE) MRI sequences on a 3-T clinical scanner detect signal directly from collagen protons: freeze-dry and D2 O exchange studies of cortical bone and Achilles tendon specimens.

Authors:  Ya-Jun Ma; Eric Y Chang; Graeme M Bydder; Jiang Du
Journal:  NMR Biomed       Date:  2016-05-05       Impact factor: 4.044

3.  Non-invasive assessment of skeletal muscle fibrosis in mice using nuclear magnetic resonance imaging and ultrasound shear wave elastography.

Authors:  Aurea B Martins-Bach; Damien Bachasson; Ericky C A Araujo; Lucas Soustelle; Paulo Loureiro de Sousa; Yves Fromes; Pierre G Carlier
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

4.  Degenerative joint disease induced by repeated intra-articular injections of monosodium urate crystals in rats as investigated by translational imaging.

Authors:  Nathalie Accart; Janet Dawson; Michael Obrecht; Christian Lambert; Manuela Flueckiger; Julie Kreider; Shinji Hatakeyama; Peter J Richards; Nicolau Beckmann
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

5.  In vivo MRI with Concurrent Excitation and Acquisition using Automated Active Analog Cancellation.

Authors:  Ali Caglar Özen; Ergin Atalar; Jan G Korvink; Michael Bock
Journal:  Sci Rep       Date:  2018-07-13       Impact factor: 4.379

6.  Technical Note: A methodology for improved accuracy in stopping power estimation using MRI and CT.

Authors:  Jessica E Scholey; Dharshan Chandramohan; Tarun Naren; William Liu; Peder Eric Zufall Larson; Atchar Sudhyadhom
Journal:  Med Phys       Date:  2020-11-20       Impact factor: 4.071

  6 in total

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