Video: Every Case Tells a Story| Webinar: ACR/CHEST ILD Guidelines in Practice

An official publication of the ACR and the ARP serving rheumatologists and rheumatology professionals

  • Conditions
    • Axial Spondyloarthritis
    • Gout and Crystalline Arthritis
    • Myositis
    • Osteoarthritis and Bone Disorders
    • Pain Syndromes
    • Pediatric Conditions
    • Psoriatic Arthritis
    • Rheumatoid Arthritis
    • Sjögren’s Disease
    • Systemic Lupus Erythematosus
    • Systemic Sclerosis
    • Vasculitis
    • Other Rheumatic Conditions
  • FocusRheum
    • ANCA-Associated Vasculitis
    • Axial Spondyloarthritis
    • Gout
    • Psoriatic Arthritis
    • Rheumatoid Arthritis
    • Systemic Lupus Erythematosus
  • Guidance
    • Clinical Criteria/Guidelines
    • Ethics
    • Legal Updates
    • Legislation & Advocacy
    • Meeting Reports
      • ACR Convergence
      • Other ACR meetings
      • EULAR/Other
    • Research Rheum
  • Drug Updates
    • Analgesics
    • Biologics/DMARDs
  • Practice Support
    • Billing/Coding
    • EMRs
    • Facility
    • Insurance
    • QA/QI
    • Technology
    • Workforce
  • Opinion
    • Patient Perspective
    • Profiles
    • Rheuminations
      • Video
    • Speak Out Rheum
  • Career
    • ACR ExamRheum
    • Awards
    • Career Development
  • ACR
    • ACR Home
    • ACR Convergence
    • ACR Guidelines
    • Journals
      • ACR Open Rheumatology
      • Arthritis & Rheumatology
      • Arthritis Care & Research
    • From the College
    • Events/CME
    • President’s Perspective
  • Search

Ultrasound Can be Useful in Diagnosing Gout

Kelly Tyrrell  |  Issue: June 2017  |  June 14, 2017

A new study shows that ultrasound can be useful in discriminating gout from non-gout.

A new study shows that ultrasound can be useful in discriminating gout from non-gout.
Red On/shutterstock.com

The presence of synovial monosodium urate monohydrate (MSU) crystals is the gold standard for diagnosing gout. But a new study, funded in part by the ACR and led by rheumatologists, including Alexis Ogdie, MD, MSCE, evaluated the effectiveness of ultrasound in diagnosing it. The study found that ultrasound can be useful in discriminating gout from non-gout.

“The idea was that if you are a primary care physician or you’re a rheumatologist but can’t do arthrocentesis, what’s the best way to diagnose gout?” says Dr. Ogdie, an assistant professor of medicine and epidemiology at the Hospital of the University of Pennsylvania. “A lot of rheumatologists now have ultrasound as part of their practice, and we wanted to know: What is the sensitivity and the specificity of ultrasound features for the diagnosis of gout?”

ad goes here:advert-1
ADVERTISEMENT
SCROLL TO CONTINUE

In the study, published in February in Arthritis & Rheumatology, the researchers wanted to reflect real-life clinical practice.1 Previous studies had relied on data from relatively small centers of gout expertise, among patients with a long history of the disease and showed that gout can be diagnosed by ultrasound upon detecting hyper­echoic articular surface features on the hyaline cartilage (double contour sign, or DCS); a snowstorm appearance suggestive of floating, hyper­echoic MSU crystals; or hyperechoic aggregates within the joint or along the tendons, which could indicate tophi.

But the research team, in addition to wanting to capture the capacity of more typical primary care or rheumatology practices to use ultrasound for gout diagnosis, also wanted to better understand the ultrasound features of early gout compared with longstanding disease and of cases with clinically detected tophus and those without.

ad goes here:advert-2
ADVERTISEMENT
SCROLL TO CONTINUE

“Sometimes, a patient doesn’t want arthrocentesis, or there’s not enough fluid in the joint, or they don’t have time,” says Dr. Ogdie. “There are a variety of different reasons, but if the primary care provider has access to ultrasound or it’s performed by a radiologist but they’re not comfortable aspirating that joint, what does that result tell you if you see (or don’t see) DCS, for example. What is the likelihood the patient has gout?”

The Study

To determine this, the researchers used data from the Study for Updated Gout Classification Criteria (SUGAR), a large, cross-sectional study involving 25 international centers. In that study, voluntary ultrasound was performed on 842 subjects, including 416 cases and 408 controls. Cases were subjects ultimately confirmed to have a gout diagnosis, determined by the presence of MSU crystals in fluid aspirates, with swelling in at least one joint or the presence of a subcutaneous nodule. Controls were subjects with gout-like symptoms, including joint swelling, but were negative for gout when tested for MSU crystals.

Page: 1 2 3 | Single Page
Share: 

Filed under:ConditionsGout and Crystalline ArthritisTechnology Tagged with:arthrocentesisClinicalDiagnosisGoutimagingpatient carePractice ManagementrheumatologistrheumatologyUltrasound

Related Articles

    Another Way: RheumMadness 2022 DECT in Gout Scouting Report

    February 14, 2022

    Research has found dual-energy computed tomography (DECT) may be a non-invasive and cost-effective option to help rheumatologists more accurately diagnose gout.

    Clinical Insights into Gout Management: Rheumatology Drugs at a Glance Pt. 4

    October 14, 2019

    Three clinical experts on gout offer their insights into common management errors, clinical pearls, new safety data from the FDA and the role of biologic therapies in the management of gout.

    Difficult Gout

    July 1, 2007

    “Grandpapa’s Torments” was the Rodnan Commemorative Gout Print featured at the 2005 ACR/ARHP Annual Scientific Meeting.

    Gout Research at a Glance: ‘My picks for the top research in gout presented at ACR Convergence 2021’

    November 10, 2021

    Dr. Lisa Stamp helps filter the noise to get to the key insights from the research abstracts on gout presented at ACR Convergence 2021.

  • About Us
  • Meet the Editors
  • Issue Archives
  • Contribute
  • Advertise
  • Contact Us
  • Copyright © 2025 by John Wiley & Sons, Inc. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. ISSN 1931-3268 (print). ISSN 1931-3209 (online).
  • DEI Statement
  • Privacy Policy
  • Terms of Use
  • Cookie Preferences