Literature DB >> 27142711

The diagnostic value of biexponential apparent diffusion coefficients in myopathy.

Jun Ran1, Yao Liu1, Dong Sun1, John Morelli2, Ping Zhang3, Gang Wu1, Yuda Sheng1, Ruyi Xie1, Xiaoli Zhang1, Xiaoming Li4.   

Abstract

To investigate the performance of a biexponential signal decay model using DWI in myopathies and to differentiate Polymyositis (PM)/Dermatomyositis (DM), Glycogen Storage Diseases (GSDs) and Muscular Dystrophies (MDs) utilizing diffusion-weighted imaging. 11 healthy volunteers (control group) and 46 patients with myopathy were enrolled in the retrospective study. 27 of 46 patients had PM/DM, 7 patients GSDs and 12 patients MDs. After conventional MR sequences, diffusion weighted imaging with a b-factor ranging from 0 to 1200 s/mm(2) was performed on both thighs. The intra-muscular signal-to-noise ratios (SNRs) on multiple-b DWI images were measured for 7 different muscles and compared among the different groups. The median T2 signal intensity and biexponential apparent diffusion coefficients (ADC), including standard ADC, fast ADC, and slow ADC values, were compared among the different groups. The intra-muscular SNRs were statistically significantly different depending on the b value, and also found among the 4 groups (p < 0.05). The median T2 signal intensity of the normal muscles in control group was statistically significantly lower than that of edematous muscles in the PM/DM, GSDs and MDs groups (p = 0.000), while there were no statistically significant differences among the PM/DM, GSDs, and MDs groups (p > 0.05). The median standard ADC value of the edematous muscles in GSDs was statistically significantly lower than that of normal muscles in the control group (p = 0.000) and the median ADC value of the edematous muscles in PM/DM patients was statistically significantly greater than that of the GSDs (p = 0.000) and MDs groups (p = 0.005). The median slow ADC value of the edematous muscles in MDs patients and PM/DM patients was statistically significantly greater than that of GSDs patients (p < 0.05). Intra-muscular SNR decay curves and biexponential ADC parameters are useful in distinguishing among PM/DM, GSDs, and MDs.

Entities:  

Keywords:  Biexponential apparent diffusion coefficients; Dermatomyositis; Glycogen storage diseases; Magnetic resonance imaging; Muscular Dystrophies; Polymyositis

Mesh:

Year:  2016        PMID: 27142711     DOI: 10.1007/s00415-016-8139-7

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  29 in total

1.  Normal brain and brain tumor: multicomponent apparent diffusion coefficient line scan imaging.

Authors:  S E Maier; P Bogner; G Bajzik; H Mamata; Y Mamata; I Repa; F A Jolesz; R V Mulkern
Journal:  Radiology       Date:  2001-06       Impact factor: 11.105

2.  Complete separation of intracellular and extracellular information in NMR spectra of perfused cells by diffusion-weighted spectroscopy.

Authors:  P C Van Zijl; C T Moonen; P Faustino; J Pekar; O Kaplan; J S Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  1991-04-15       Impact factor: 11.205

3.  Comparison of biexponential and monoexponential model of diffusion weighted imaging in evaluation of renal lesions: preliminary experience.

Authors:  Hersh Chandarana; Vivian S Lee; Elizabeth Hecht; Bachir Taouli; Eric E Sigmund
Journal:  Invest Radiol       Date:  2011-05       Impact factor: 6.016

Review 4.  The use of MRI in the evaluation of myopathy.

Authors:  Steven Lovitt; Sandra L Moore; Franklin A Marden
Journal:  Clin Neurophysiol       Date:  2006-01-27       Impact factor: 3.708

5.  In vivo brain edema classification: New insight offered by large b-value diffusion-weighted MR imaging.

Authors:  Attila Schwarcz; Zsuzsa Ursprung; Zoltan Berente; Peter Bogner; Gyula Kotek; Philippe Meric; Brigitte Gillet; Jean-Claude Beloeil; Tamás Dóczi
Journal:  J Magn Reson Imaging       Date:  2007-01       Impact factor: 4.813

6.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

7.  Compositional analysis of muscle in boys with Duchenne muscular dystrophy using MR imaging.

Authors:  Franklin A Marden; Anne M Connolly; Marilyn J Siegel; David A Rubin
Journal:  Skeletal Radiol       Date:  2004-10-22       Impact factor: 2.199

Review 8.  Polymyositis and dermatomyositis.

Authors:  Marinos C Dalakas; Reinhard Hohlfeld
Journal:  Lancet       Date:  2003-09-20       Impact factor: 79.321

Review 9.  The Pathogenesis and Therapy of Muscular Dystrophies.

Authors:  Simon Guiraud; Annemieke Aartsma-Rus; Natassia M Vieira; Kay E Davies; Gert-Jan B van Ommen; Louis M Kunkel
Journal:  Annu Rev Genomics Hum Genet       Date:  2015-06-04       Impact factor: 8.929

10.  Biexponential apparent diffusion coefficients values in the prostate: comparison among normal tissue, prostate cancer, benign prostatic hyperplasia and prostatitis.

Authors:  Xiaohang Liu; Weijun Peng; Liangping Zhou; He Wang
Journal:  Korean J Radiol       Date:  2013-02-22       Impact factor: 3.500

View more
  7 in total

Review 1.  Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy.

Authors:  Doris G Leung
Journal:  Muscle Nerve       Date:  2019-05-14       Impact factor: 3.217

Review 2.  Diffusion weighted imaging demystified: the technique and potential clinical applications for soft tissue imaging.

Authors:  Shivani Ahlawat; Laura M Fayad
Journal:  Skeletal Radiol       Date:  2017-11-20       Impact factor: 2.199

3.  Histogram analysis derived from apparent diffusion coefficient (ADC) is more sensitive to reflect serological parameters in myositis than conventional ADC analysis.

Authors:  Hans Jonas Meyer; Alexander Emmer; Malte Kornhuber; Alexey Surov
Journal:  Br J Radiol       Date:  2018-02-20       Impact factor: 3.039

4.  MRI assessment of the thigh musculature in dermatomyositis and healthy subjects using diffusion tensor imaging, intravoxel incoherent motion and dynamic DTI.

Authors:  E E Sigmund; S H Baete; T Luo; K Patel; D Wang; I Rossi; A Duarte; M Bruno; D Mossa; A Femia; S Ramachandran; D Stoffel; J S Babb; A G Franks; J Bencardino
Journal:  Eur Radiol       Date:  2018-06-04       Impact factor: 5.315

5.  Short- and long-term reproducibility of diffusion-weighted magnetic resonance imaging of lower extremity musculature in asymptomatic individuals and a comparison to individuals with spinal cord injury.

Authors:  Jacob G McPherson; Andrew C Smith; Daniel A Duben; Katie L McMahon; Marie Wasielewski; Todd B Parrish; James M Elliott
Journal:  BMC Musculoskelet Disord       Date:  2018-12-06       Impact factor: 2.362

6.  Associations between apparent diffusion coefficient and electromyography parameters in myositis-A preliminary study.

Authors:  Hans-Jonas Meyer; Alexander Emmer; Malte Kornhuber; Alexey Surov
Journal:  Brain Behav       Date:  2018-03-30       Impact factor: 2.708

7.  Associations between apparent diffusion coefficient values and histopathological tissue alterations in myopathies.

Authors:  Hans-Jonas Meyer; Ilka Schneider; Alexander Emmer; Malte Kornhuber; Alexey Surov
Journal:  Brain Behav       Date:  2020-08-29       Impact factor: 2.708

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.