Cited by 100Osteoarthritis Treatment and MechanismsHip disorders and treatmentsKnee injuries and reconstruction techniques

Imaging research results from the osteoarthritis initiative (oai): A review and lessons learned 10 years after start of enrolment

Eckstein, Felix, Kwoh, C Kent, Link, Thomas M·2014·Annals of the Rheumatic Diseases

Abstract

The Osteoarthritis Initiative (OAI) is a multicentre, prospective, observational, cohort study of knee osteoarthritis (OA) that began recruitment in 2004. The OAI provides public access to clinical and image data, enabling researchers to examine risk factors/predictors and the natural history of knee OA incidence and progression, and the qualification of imaging and other biomarkers. In this narrative review, we report imaging findings and lessons learned 10 years after enrolment has started. A literature search for full text articles published from the OAI was performed up to 31 December 2013 using Pubmed and the OAI web page. We summarise the rationale, design and imaging protocol of the OAI, and the history of OAI publications. We review studies from early partial, and later full OAI public data releases. The latter are structured by imaging method and tissue, reviewing radiography and then MRI findings on cartilage morphology, cartilage lesions and composition (T2), bone, meniscus, muscle and adipose tissue. Finally, analyses directly comparing findings from MRI and radiography are summarised. Ten years after the first participants were enrolled and first papers published, the OAI has become an invaluable resource to the OA research community. It has fuelled novel methodological approaches of analysing images, and has provided a wealth of information on OA pathophysiology. Continued collection and public release of long-term observations will help imaging measures to gain…

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Crossref · 10.1136/annrheumdis-2014-205310

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  • OAI contains MRI and x-ray longitudinal measurements from 4,796 subjects.

    “OAI as the example in the knee dataset contains MRI and x-ray longitudinal measurements from 4,796 subjects”
  • More than 400 research manuscripts have used OAI to explore assessments and interventions of knee osteoarthritis.

    “more than 400 research manuscripts have used the OAI to explore the assessments and interventions of knee osteoarthritis”

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Authors
Eckstein, F., Kwoh, C. K., & Link, T. M.
Affiliations
  • Paracelsus Medical University (AT)
  • University of Arizona (US)
  • University of California, San Francisco (US)
Corresponding author
Eckstein, Felix
Venue
Annals of the Rheumatic Diseases
Publisher
Elsevier BV
Published
2014-07
Volume
73
Issue
7
Pages
1289-1300
ISSN
0003-4967 (ISSN-L)
OpenAlex
W2109005911
Cited by
100
References
1
Citations by year
2026: 5 · 2025: 10 · 2024: 9 · 2023: 6 · 2022: 7 · 2021: 11 · 2020: 11 · 2019: 12 · 2018: 3 · 2017: 6 · 2016: 6 · 2015: 10 · 2014: 4
FWCI
7.10
Type
journal article
Language
en
Open access
closed
Locations
  • Annals of the Rheumatic Diseases (publishedVersion)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • Brown University
  • National Institutes of Health
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (N01 ‐ AR ‐ 2 ‐ 2261, N01‐AR‐2‐2260, N01 ‐ AR ‐ 2 ‐ 2258, N01-AR-2- 2262, N01AR22259)
Topics
  • Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
  • Health Sciences › Medicine › Surgery › Hip disorders and treatments
  • Health Sciences › Medicine › Surgery › Knee injuries and reconstruction techniques
Keywords
Osteoarthritis Initiative, knee osteoarthritis, imaging biomarkers, cartilage morphology, cartilage damage, meniscus, bone, muscle, adipose tissue, radiography, magnetic resonance imaging, public data release
MeSH terms
Adipose Tissue, Cartilage, Articular, Humans, Knee, Knee Joint, Magnetic Resonance Imaging, Menisci, Tibial, Prospective Studies, Radiography, Risk Factors, Cohort Studies, Multicenter Studies as Topic, Disease Progression, Muscle, Skeletal, Osteoarthritis, Knee, Observational Studies as Topic

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