Ultrasound imaging of the dorsalis pedis artery as an early indicator of the precursory changes for rheumatoid vasculitis: A case series dataset
  • Description

    The aim of the research was to examine the dorsalis pedis artery using five ultrasound parameters and evaluate for inflammatory interaction within the wall of the dorsalis pedis artery. The methods used quantitative analysis of the ultrasound parameters and correlation to two self reported outcomes. The ultrasound images and associated data were also used to create an imaging biomarker. The dataset contains the quantitative values for the following for the relative publication:       

      Demographic data       

      Five ultrasound parameters       

      Results for two self reported outcomes

    This dataset contains data from healthy controls and participants with rheumatoid arthritis (n=6). Demographic data and data for five ultrasound parameters. Additionally, data from two self-reported outcomes are included: Foot Health Status Questionnaire (FHSQ) and Rheumatoid Arthritis Disease Activity Index - 5 (RADAI-5). This dataset cannot be published openly due to ethics conditions. To discuss the project, please contact Robyn Boman 20640402@student.westernsydney.edu.au ORCID 0000-0001-9047-7950.
    • - Start
      Data publication title Ultrasound imaging of the dorsalis pedis artery as an early indicator of the precursory changes for rheumatoid vasculitis: A case series dataset
    • Description

      The aim of the research was to examine the dorsalis pedis artery using five ultrasound parameters and evaluate for inflammatory interaction within the wall of the dorsalis pedis artery. The methods used quantitative analysis of the ultrasound parameters and correlation to two self reported outcomes. The ultrasound images and associated data were also used to create an imaging biomarker. The dataset contains the quantitative values for the following for the relative publication:       

        Demographic data       

        Five ultrasound parameters       

        Results for two self reported outcomes

      This dataset contains data from healthy controls and participants with rheumatoid arthritis (n=6). Demographic data and data for five ultrasound parameters. Additionally, data from two self-reported outcomes are included: Foot Health Status Questionnaire (FHSQ) and Rheumatoid Arthritis Disease Activity Index - 5 (RADAI-5). This dataset cannot be published openly due to ethics conditions. To discuss the project, please contact Robyn Boman 20640402@student.westernsydney.edu.au ORCID 0000-0001-9047-7950.
      • Data type dataset
    • Keywords
      • Peripheral vascular disease
      • Adventitia
      • Rheumatology
      • RADAI-5
      • Podiatry
      • Vasculitis
      • Inflammation
      • Autoimmune
      • Ultrasound imaging
      • Sonography
      • FHSQ
    • Funding source
      • Australasian Society for Ultrasound in Medicine
    • Grant number(s)
      • - RG2302
      • FoR codes
      • 320222 - Radiology and organ imaging
      • 320223 - Rheumatology and arthritis
      SEO codes
      • 200199 - Clinical health not elsewhere classified
    - Coverage
      Temporal (time) coverage
    • Start date 2022/03/01
    • End date 2023/07/31
      • Time period
       
      Spatial (location,mapping) coverage
    • Locations
      • New South Wales, Australia
    - Data
      Data Locations

      Type Location Notes
      The Data Manager is: Robyn Boman
      Access conditions Conditional
    - Supplements
    • Related publications
        Name Ultrasound imaging of the dorsalis pedis artery as an early indicator of the precursory changes for rheumatoid vasculitis: A case series
      • URL https://doi.org/10.1002/ajum.12373
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    - License
      The data will be licensed under
    • Other license
      • Statement of rights in data Copyright Western Sydney University
    - Citation
      Citation Boman, Robyn (2025): Ultrasound imaging of the dorsalis pedis artery as an early indicator of the precursory changes for rheumatoid vasculitis: A case series dataset. Western Sydney University. https://doi.org/10.26183/98k9-xs15

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