Literature DB >> 18022843

Diffusion-weighted imaging of inflammatory myopathies: polymyositis and dermatomyositis.

Jing Qi1, Nancy J Olsen, Ronald R Price, Jason A Winston, Jane H Park.   

Abstract

Muscles of myositis patients examined with MRI demonstrate heterogeneous pathology ranging from unaffected muscle groups to severe inflammation, fat infiltration, and eventually, more serious fat replacement. The purpose of this investigation was to characterize myositic thigh muscles using diffusion-weighted imaging (DWI) and to examine fluid motion at various disease stages. We chose to characterize total fluid motion within the muscle using the model proposed by Le Bihan et al (6,7) in which the apparent diffusion coefficient (ADC), diffusion in the extra- and intracellular muscle compartments (D), perfusion in capillaries (pseudodiffusion) (D*), and volume fraction of capillary perfusion (f) are determined. Unaffected patient muscles have DWI coefficients equivalent to those of normal muscles. Inflamed muscles show elevated ADC and D values compared to normal muscles (P < 0.0005), and fat-infiltrated muscles have lower values than control muscles (P < 0.001). Inflamed muscles have lower f values than unaffected muscles (P < 0.009), suggesting decreased fractional volume of capillary perfusion. DWI provides quantitative data on molecular fluid motion in diseased muscles and affords the potential for longitudinal monitoring of myositic patients.

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Year:  2008        PMID: 18022843     DOI: 10.1002/jmri.21209

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  48 in total

Review 1.  Advanced MRI Techniques for Muscle Imaging.

Authors:  Vivek Kalia; Doris G Leung; Darryl B Sneag; Filippo Del Grande; John A Carrino
Journal:  Semin Musculoskelet Radiol       Date:  2017-08-03       Impact factor: 1.777

2.  MR imaging of skeletal soft tissue infection: utility of diffusion-weighted imaging in detecting abscess formation.

Authors:  Srinivasan Harish; Mary M Chiavaras; Nikhil Kotnis; Ryan Rebello
Journal:  Skeletal Radiol       Date:  2010-06-16       Impact factor: 2.199

3.  Multi-parametric MR imaging of quadriceps musculature in the setting of clinical frailty syndrome.

Authors:  David M Melville; Jane Mohler; Mindy Fain; Amy E Muchna; Elizabeth Krupinski; Puneet Sharma; Mihra S Taljanovic
Journal:  Skeletal Radiol       Date:  2016-01-07       Impact factor: 2.199

4.  Assessment of diffusion tensor imaging indices in calf muscles following postural change from standing to supine position.

Authors:  Alyaa H Elzibak; Michael D Noseworthy
Journal:  MAGMA       Date:  2013-12-03       Impact factor: 2.310

5.  Dynamic diffusion-tensor measurements in muscle tissue using the single-line multiple-echo diffusion-tensor acquisition technique at 3T.

Authors:  Steven H Baete; Gene Y Cho; Eric E Sigmund
Journal:  NMR Biomed       Date:  2015-04-22       Impact factor: 4.044

6.  Whole-body intravoxel incoherent motion imaging.

Authors:  Lukas Filli; Moritz C Wurnig; Roger Luechinger; Christian Eberhardt; Roman Guggenberger; Andreas Boss
Journal:  Eur Radiol       Date:  2015-01-10       Impact factor: 5.315

7.  Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease.

Authors:  Bruce M Damon; Ke Li; Richard D Dortch; E Brian Welch; Jane H Park; Amanda K W Buck; Theodore F Towse; Mark D Does; Daniel F Gochberg; Nathan D Bryant
Journal:  J Vis Exp       Date:  2016-12-18       Impact factor: 1.355

Review 8.  Role of MRI in diagnosis and management of idiopathic inflammatory myopathies.

Authors:  Britta Maurer; Ulrich A Walker
Journal:  Curr Rheumatol Rep       Date:  2015-11       Impact factor: 4.592

9.  Multi-parametric MRI characterization of inflammation in murine skeletal muscle.

Authors:  Nathan D Bryant; Ke Li; Mark D Does; Stephanie Barnes; Daniel F Gochberg; Thomas E Yankeelov; Jane H Park; Bruce M Damon
Journal:  NMR Biomed       Date:  2014-04-29       Impact factor: 4.044

10.  Effects of image noise in muscle diffusion tensor (DT)-MRI assessed using numerical simulations.

Authors:  Bruce M Damon
Journal:  Magn Reson Med       Date:  2008-10       Impact factor: 4.668

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