Literature DB >> 7980670

Use of magnetic resonance imaging in diagnosing eosinophilic fasciitis. Report of two cases.

A al-Shaikh1, C Freeman, L Avruch, R J McKendry.   

Abstract

OBJECTIVE: To determine the role of magnetic resonance imaging (MRI) in the diagnosis of eosinophilic fasciitis (EF), selection of appropriate biopsy site, and followup of treatment.
METHODS: MRI was used to examine 2 patients with EF at the time of their initial clinical presentation and after several months of treatment. T2-weighted axial, T2-weighted axial with fat saturation, and T1-weighted axial post-gadolinium with fat saturation scans at 1.5T were obtained.
RESULTS: MRI demonstrated hyperintensity within the fascia. This defect resolved with treatment and clinical improvement.
CONCLUSION: MRI is a useful noninvasive tool for diagnosing EF and for monitoring the effectiveness of therapy.

Entities:  

Mesh:

Year:  1994        PMID: 7980670     DOI: 10.1002/art.1780371107

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  5 in total

1.  From diagnosis to remission: place of MRI in eosinophilic fasciitis.

Authors:  Alexandra Desvignes-Engelbert; Norbert Saulière; Damien Loeuille; Alain Blum; Isabelle Chary-Valckenaere
Journal:  Clin Rheumatol       Date:  2010-06-10       Impact factor: 2.980

Review 2.  Imaging of muscle disorders in children.

Authors:  Karl Johnson; Penny J C Davis; J Katharine Foster; Janet E McDonagh; Clive A J Ryder; Taunton R Southwood
Journal:  Pediatr Radiol       Date:  2006-06-15

3.  An unusual soft tissue tumour and peripheral eosinophilia.

Authors:  B Banerjee; M Nashi; G R Dixon
Journal:  Postgrad Med J       Date:  1998-07       Impact factor: 2.401

Review 4.  Eosinophilic Fasciitis: an Updated Review on Diagnosis and Treatment.

Authors:  Daniel R Mazori; Alisa N Femia; Ruth Ann Vleugels
Journal:  Curr Rheumatol Rep       Date:  2017-11-04       Impact factor: 4.592

Review 5.  Eosinophilic fasciitis: report of two cases and a systematic review of the literature dealing with clinical variables that predict outcome.

Authors:  Yukie Endo; Atsushi Tamura; Youichiro Matsushima; Tomoko Iwasaki; Michiko Hasegawa; Yayoi Nagai; Osamu Ishikawa
Journal:  Clin Rheumatol       Date:  2007-03-08       Impact factor: 3.650

  5 in total

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