Diffusion‐weighted magnetic resonance imaging is useful for assessing inflammatory myopathies

Faruch, Marie; García, A.; Amo, Montserrat del; Pomés, Jaume; Isern, Jaime; González, Sergio Prieto; Grau, Josep M.; Milisenda, José C.; Tomás, Xavier

doi:10.1002/mus.26438

Cited by 14 publications

(9 citation statements)

References 30 publications

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“…T2 sequences show edema as hypersignals more or less homogeneous without mass effect involving muscles and/or fasciae (Figure 2). The best sequences for edema are Short Tau Inversion-Recuperation (STIR) (11) or DIXON sequences (12,13). T2 fat suppression sequences are less used in muscular MRIs since the fat saturation is indeed less homogeneous in the usually large fields of views.…”

Section: Mri Technique In Routinementioning

confidence: 99%

“…This can be quantified by the apparent diffusion coefficient (ADC). Several studies have analyzed ADC in muscle from myositis patients (11,106,107) showing higher values in edematous muscles, but also some muscles which did not show T2 hypersignals may suggest a better detection of low-grade edema (11). Other studies will have to be undertaken to determine the input of these specific MRI sequence techniques in IIM.…”

Section: Diffusion Sequencesmentioning

confidence: 99%

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MRI and muscle imaging for idiopathic inflammatory myopathies

et al. 2021

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Although idiopathic inflammatory myopathies (IIM) are a heterogeneous group of diseases nearly all patients display muscle inflammation. Originally, muscle biopsy was considered as the gold standard for IIM diagnosis. The development of muscle imaging led to revisiting not only the IIM diagnosis strategy but also the patients’ follow‐up. Different techniques have been tested or are in development for IIM including positron emission tomography, ultrasound imaging, ultrasound shear wave elastography, though magnetic resonance imaging (MRI) remains the most widely used technique in routine. Whereas guidelines on muscle imaging in myositis are lacking here we reviewed the relevance of muscle imaging for both diagnosis and myositis patients’ follow‐up. We propose recommendations about when and how to perform MRI on myositis patients, and we describe new techniques that are under development.

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Section: Mri Technique In Routinementioning

confidence: 99%

Section: Diffusion Sequencesmentioning

confidence: 99%

MRI and muscle imaging for idiopathic inflammatory myopathies

et al. 2021

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“…Furthermore, DWI allows the quantification of the apparent diffusion coefficient (ADC; unit: µm 2 /s) value that aids disease characterisation and treatment response assessment. DWI shows higher accuracy for detecting bone metastases 16 and muscle oedema 17 compared with STIR. An optimized DWI protocol has high sensitivity for detecting lesions and can reduce the need for contrast medium administration.…”

Section: Technical Considerations and Imaging Protocolmentioning

confidence: 99%

What’s New for Clinical Whole-body MRI (WB-MRI) in the 21st Century

Tunariu

Blackledge

Messiou

et al. 2020

BJR

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Whole body MRI (WB-MRI) has evolved since its first introduction in the 1970’s as an imaging technique to detect and survey disease across multiple sites and organ systems in the body. The development of diffusion-weighted MRI (DWI) has added a new dimension to the implementation of WB-MRI on modern scanners, offering excellent lesion-to-background contrast, while achieving acceptable spatial resolution to detect focal lesions 5 to 10 mm in size. MRI hardware and software advances have reduced acquisition times, with studies taking 40–50 min to complete. The rising awareness of medical radiation exposure coupled with the advantages of MRI, have resulted in increased utilization of WB-MRI in oncology, paediatrics, rheumatological and musculoskeletal conditions and more recently in population screening. There is recognition that WB-MRI can be used to track disease evolution and monitor response heterogeneity in patients with cancer. There are also opportunities to combine WB-MRI with molecular imaging on PET-MRI systems to harness the strengths of hybrid imaging. The advent of artificial intelligence and machine learning will shorten image acquisition times and image analyses, making the technique more competitive against other imaging technologies.

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“…Magnetic resonance imaging of the lumps on her upper left arm showed extensive edema in the muscle and subcutaneous tissue. 1 Laboratory examination revealed increased serum myogenic enzymes (creatine kinase 1328 U/L), lactate dehydrogenase 510 U/L, and elevated erythrocyte sedimentation rate (58.0 mm/h). Antinuclear matrix protein (NXP-2) antibody was positive in the myositis spectrum.…”

mentioning

confidence: 98%