AI Article Synopsis
- Magnetic resonance imaging (MRI) is the preferred method for identifying muscle diseases connected to myopathies due to its high sensitivity and specificity.
- Advances in technology since 2008 have enhanced whole-body MRI (WBMRI), allowing for quick and high-quality imaging of the entire musculoskeletal system, which includes specific protocols like T1-weighted and STIR imaging.
- WBMRI effectively assesses various types of myopathies, helps pinpoint specific muscle involvement for biopsies, and can even detect unrelated conditions like tumors.
Article Abstract
Magnetic resonance imaging (MRI) is considered the most sensitive and specific imaging technique for the detection of muscle diseases related to myopathies. Since 2008, the use of whole-body MRI (WBMRI) to evaluate myopathies has improved due to technical advances such as rolling table platform and parallel imaging, which enable rapid assessment of the entire musculoskeletal system with high-quality images. WBMRI protocols should include T1-weighted and short-tau inversion recovery (STIR), which provide the basic pulse sequences for studying myopathies, in order to detect fatty infiltration/muscle atrophy and muscle edema, respectively. High signal intensity in T1-weighted images shows chronic disease with fatty infiltration, whereas high signal intensity in STIR indicates an acute stage with muscle edema. Additional sequences such as diffusion-weighted imaging (DWI) can be readily incorporated into routine WBMRI study protocols. Contrast-enhanced sequences have not been done. This article reviews WBMRI as an imaging method to evaluate different myopathies (idiopathic inflammatory, dystrophic, non-dystrophic, metabolic, and channelopathies). WBMRI provides a comprehensive estimate of the total burden with a single study, seeking specific distribution patterns, including clinically silent involvement of muscle areas. Furthermore, WBMRI may help to select the "target muscle area" for biopsy during patient follow-up. It may be also be used to detect related and non-related pathological conditions, such as tumors.
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| http://dx.doi.org/10.1007/s00256-018-3107-1 | DOI Listing |
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