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Imaging Appearances in Gout
- Source :
- Arthritis, Vol 2013 (2013), Arthritis
- Publication Year :
- 2013
- Publisher :
- Hindawi Limited, 2013.
-
Abstract
- Gout is an ancient disease. Last decade has brought about significant advancement in imaging technology and real scientific growth in the understanding of the pathophysiology of gout, leading to the availability of multiple effective noninvasive diagnostic imaging options for gout and treatment options fighting inflammation and controlling urate levels. Despite this, gout is still being sub-optimally treated, often by nonspecialists. Increased awareness of optimal treatment options and an increasing role of ultrasound and dual energy computed tomography (DECT) in the diagnosis and management of gout are expected to transform the management of gout and limit its morbidity. DECT gives an accurate assessment of the distribution of the deposited monosodium urate (MSU) crystals in gout and quantifies them. The presence of a combination of the ultrasound findings of an effusion, tophus, erosion and the double contour sign in conjunction with clinical presentation may be able to obviate the need for intervention and joint aspiration in a certain case population for the diagnosis of gout. The purpose of this paper is to review imaging appearances of gout and its clinical applications.
- Subjects :
- musculoskeletal diseases
education.field_of_study
Pathology
medicine.medical_specialty
congenital, hereditary, and neonatal diseases and abnormalities
lcsh:Diseases of the musculoskeletal system
business.industry
Population
Tophus
nutritional and metabolic diseases
Review Article
medicine.disease
Gout
Joint aspiration
Rheumatology
Monosodium urate
Double contour sign
Medical imaging
Imaging technology
Medicine
Orthopedics and Sports Medicine
Radiology
lcsh:RC925-935
business
education
Subjects
Details
- Language :
- English
- ISSN :
- 20901992 and 20901984
- Volume :
- 2013
- Database :
- OpenAIRE
- Journal :
- Arthritis
- Accession number :
- edsair.doi.dedup.....f2abd967d3274eea06b135e3cb6ed990