Correlation of WOMAC and KOOS scores to tibiofemoral cartilage loss on plain radiography and 3 Tesla MRI: data from the osteoarthritis initiative

Illingworth, Kenneth D.; Bitar, Youssef El; Siewert, Kyle; Scaife, Steven; El-Amin, Saadiq F.; Saleh, Khaled J.

doi:10.1007/s00167-013-2402-6

Cited by 28 publications

(21 citation statements)

References 45 publications

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“…Medial and lateral JSN were both strong predictors of cartilage loss in the narrowed, but not in the non-narrowed joint compartment 69. Further, frequently painful knees displayed greater cartilage loss than those without pain, also after adjusting for radiographic stage,68 70 but no correlation was detected for other pain scores 37. Comparing cartilage change over 1–4-year periods,71 72 the mean loss (but not the SRM) scaled linearly with observation length and was constant throughout the study, but only weak to moderate agreement was observed between individual short-term versus long-term change 72.…”

Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 89%

“…Cross-sectionally, JSN and KOOS symptom scores were weakly correlated 37. Longitudinally, radiographic change was significantly correlated with worsening pain and function scores 40.…”

Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 94%

“…Denuded areas of subchondral bone were reported to be more common (and larger) with increasing disease severity,106 and were associated with concurrent pain,37 107 particularly during weight-bearing activities and when central aspects of the joint were involved 107. They also were associated with risk of subsequent KR 73.…”

Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 99%

“…Goniometer measurements of knee alignment varied substantially from those of whole limb radiographs, and were found to be of limited validity 36. JSW showed a strong correlation of r≥0.80 with cartilage thickness on MRI 37. In an ancillary study, dual-energy X-ray absorptiometry (DXA) scans of the knee were acquired, and tibial bone mineral density (BMD), was found to be positively associated with severity of radiographic joint space narrowing (JSN) 38.…”

Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 99%

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Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment

Eckstein

Kwoh

Link³

2014

Annals of the Rheumatic Diseases

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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 scientific and regulatory acceptance as 'prognostic' or 'efficacy of intervention' biomarkers, potentially enabling shorter and more efficient clinical trials that can test structure-modifying therapeutic interventions (NCT00080171).

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Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 89%

“…Cross-sectionally, JSN and KOOS symptom scores were weakly correlated 37. Longitudinally, radiographic change was significantly correlated with worsening pain and function scores 40.…”

Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 94%

Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 99%

Section: Imaging Publications From Full Cohort Releasesmentioning

confidence: 99%

See 2 more Smart Citations

Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment

Eckstein

Kwoh

Link³

2014

Annals of the Rheumatic Diseases

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“…Illingworth et al (18) found the Womac and Knee Injury Osteoarthritis Outcomes scores as poor indicators for cartilage loss. However, Torres et al (19) found the severity of knee pain associated with meniscal tears additionally to subarticular bone attrition, bone marrow lesions and synovitis.…”

Section: Discussionmentioning

confidence: 99%

Discrepancy of Magnetic Resonance Imaging Findings, Symptom Severity and Functional Status in Knee Osteoarthritis

Ilhanli¹

2016

Okmeydani Medical Journal

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Osteoarthritis disease progression model using six year follow‐up data from the osteoarthritis initiative

Passey

Kimko

Nandy

et al. 2014

The Journal of Clinical Pharma

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The objective was to develop a quantitative model of disease progression of knee osteoarthritis over 6 years using the total WOMAC score from patients enrolled into the Osteoarthritis Initiative (OAI) study. The analysis was performed using data from the Osteoarthritis Initiative database. The time course of the total WOMAC score of patients enrolled into the progression cohort was characterized using non-linear mixed effect modeling in NONMEM. The effect of covariates on the status of the disease and the progression rate was investigated. The final model provided a good description of the experimental data using a linear progression model with a common baseline (19 units of the total WOMAC score). The WOMAC score decreased by 1.77 units/year in 89% of the population or increased by 1.74 units/year in 11% of the population. Multiple covariates were found to affect the baseline and the rate of progression, including BMI, sex, race, the use of pain medications, and the limitation in activity due to symptoms. A mathematical model to describe the disease progression of osteoarthritis in the studied population was developed. The model identified two sub-populations with increasing or decreasing total WOMAC score over time, and the effect of important covariates was quantified.

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Correlation of WOMAC and KOOS scores to tibiofemoral cartilage loss on plain radiography and 3 Tesla MRI: data from the osteoarthritis initiative

Cited by 28 publications

References 45 publications

Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment

Imaging research results from the Osteoarthritis Initiative (OAI): a review and lessons learned 10 years after start of enrolment

Discrepancy of Magnetic Resonance Imaging Findings, Symptom Severity and Functional Status in Knee Osteoarthritis

Osteoarthritis disease progression model using six year follow‐up data from the osteoarthritis initiative

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