Literature DB >> 28899124

Apparent diffusion coefficient (ADC) does not correlate with different serological parameters in myositis and myopathy.

Hans-Jonas Meyer1,2, Oliver Ziemann1, Malte Kornhuber3, Alexander Emmer3, Ulf Quäschling4, Stefan Schob4, Alexey Surov2.   

Abstract

Background Magnetic resonance imaging (MRI) is widely used in several muscle disorders. Diffusion-weighted imaging (DWI) is an imaging modality, which can reflect microstructural tissue composition. The apparent diffusion coefficient (ADC) is used to quantify the random motion of water molecules in tissue. Purpose To investigate ADC values in patients with myositis and non-inflammatory myopathy and to analyze possible associations between ADC and laboratory parameters in these patients. Material and Methods Overall, 17 patients with several myositis entities, eight patients with non-inflammatory myopathies, and nine patients without muscle disorder as a control group were included in the study (mean age = 55.3 ± 14.3 years). The diagnosis was confirmed by histopathology in every case. DWI was obtained in a 1.5-T scanner using two b-values: 0 and 1000 s/mm2. In all patients, the blood sample was acquired within three days to the MRI. The following serological parameters were estimated: C-reactive protein, lactate dehydrogenase, alanine aminotransferase, aspartate aminotransferase, creatine kinase, and myoglobine. Results The estimated mean ADC value for the myositis group was 1.89 ± 0.37 × 10-3 mm2/s and for the non-inflammatory myopathy group was 1.79 ± 0.33 × 10-3 mm2/s, respectively. The mean ADC values (1.15 ± 0.37 × 10-3 mm2/s) were significantly higher to unaffected muscles (vs. myositis P = 0.0002 and vs. myopathy P = 0.0021). There were no significant correlations between serological parameters and ADC values. Conclusion Affected muscles showed statistically significantly higher ADC values than normal muscles. No linear correlations between ADC and serological parameters were identified.

Entities:  

Keywords:  Diffusion-weighted imaging (DWI); apparent diffusion coefficient (ADC); correlation; myopathy; myositis; serological parameters

Mesh:

Year:  2017        PMID: 28899124     DOI: 10.1177/0284185117731448

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  4 in total

1.  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

2.  Apparent Diffusion Coefficient Is a Novel Imaging Biomarker of Myopathic Changes in Liver Cirrhosis.

Authors:  Alexey Surov; Lisa Paul; Hans Jonas Meyer; Stefan Schob; Cornelius Engelmann; Andreas Wienke
Journal:  J Clin Med       Date:  2018-10-15       Impact factor: 4.241

3.  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

4.  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

  4 in total

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