scholarly journals Different thresholds for detecting osteophytes and joint space narrowing exist between the site investigators and the centralized reader in a multicenter knee osteoarthritis study—data from the Osteoarthritis Initiative

2011 ◽  
Vol 41 (2) ◽  
pp. 179-186 ◽  
Author(s):  
Ali Guermazi ◽  
David J. Hunter ◽  
Ling Li ◽  
Olivier Benichou ◽  
Felix Eckstein ◽  
...  
Keyword(s):  
Knee Osteoarthritis ◽  
Joint Space Narrowing ◽  
Joint Space ◽  
Study Data ◽  
Osteoarthritis Initiative

scholarly journals Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs Using Deep Convolutional Neural Networks

Diagnostics ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 932
Author(s):  
Aleksei Tiulpin ◽  
Simo Saarakkala
Keyword(s):  
Knee Osteoarthritis ◽  
Joint Space Narrowing ◽  
Joint Space ◽  
Research Society ◽  
Fine Tuning ◽  
Deep Convolutional Neural Networks ◽  
Fine Grained ◽  
Knee Oa ◽  
Osteoarthritis Initiative ◽  
Osteoarthritis Research Society

Knee osteoarthritis (OA) is the most common musculoskeletal disease in the world. In primary healthcare, knee OA is diagnosed using clinical examination and radiographic assessment. Osteoarthritis Research Society International (OARSI) atlas of OA radiographic features allows performing independent assessment of knee osteophytes, joint space narrowing and other knee features. This provides a fine-grained OA severity assessment of the knee, compared to the gold standard and most commonly used Kellgren–Lawrence (KL) composite score. In this study, we developed an automatic method to predict KL and OARSI grades from knee radiographs. Our method is based on Deep Learning and leverages an ensemble of residual networks with 50 layers. We used transfer learning from ImageNet with a fine-tuning on the Osteoarthritis Initiative (OAI) dataset. An independent testing of our model was performed on the Multicenter Osteoarthritis Study (MOST) dataset. Our method yielded Cohen’s kappa coefficients of 0.82 for KL-grade and 0.79, 0.84, 0.94, 0.83, 0.84 and 0.90 for femoral osteophytes, tibial osteophytes and joint space narrowing for lateral and medial compartments, respectively. Furthermore, our method yielded area under the ROC curve of 0.98 and average precision of 0.98 for detecting the presence of radiographic OA, which is better than the current state-of-the-art.

scholarly journals Automated Knee Osteoarthritis Assessment Increases Physicians’ Agreement Rate and Accuracy: Data from the Osteoarthritis Initiative

Cartilage ◽  
2019 ◽  
pp. 194760351988879 ◽  
Author(s):  
Stefan Nehrer ◽  
Richard Ljuhar ◽  
Peter Steindl ◽  
Rene Simon ◽  
Dietmar Maurer ◽  
...  
Keyword(s):  
Joint Space Narrowing ◽  
Detection System ◽  
Intraclass Correlation ◽  
Plain Radiograph ◽  
Joint Space ◽  
Research Society ◽  
Computer Assisted ◽  
Agreement Rate ◽  
Osteoarthritis Initiative ◽  
The Impact

Objective. To assess the impact of a computerized system on physicians’ accuracy and agreement rate, as compared with unaided diagnosis. Methods. A set of 124 unilateral knee radiographs from the Osteoarthritis Initiative (OAI) study were analyzed by a computerized method with regard to Kellgren-Lawrence (KL) grade, as well as joint space narrowing, osteophytes, and sclerosis Osteoarthritis Research Society International (OARSI) grades. Physicians scored all images, with regard to osteophytes, sclerosis, joint space narrowing OARSI grades and KL grade, in 2 modalities: through a plain radiograph ( unaided) and a radiograph presented together with the report from the computer assisted detection system ( aided). Intraclass correlation between the physicians was calculated for both modalities. Furthermore, physicians’ performance was compared with the grading of the OAI study, and accuracy, sensitivity, and specificity were calculated in both modalities for each of the scored features. Results. Agreement rates for KL grade, sclerosis, and osteophyte OARSI grades, were statistically increased in the aided versus the unaided modality. Readings for joint space narrowing OARSI grade did not show a statistically difference between the 2 modalities. Readers’ accuracy and specificity for KL grade >0, KL >1, sclerosis OARSI grade >0, and osteophyte OARSI grade >0 was significantly increased in the aided modality. Reader sensitivity was high in both modalities. Conclusions. These results show that the use of an automated knee OA software increases consistency between physicians when grading radiographic features of OA. The use of the software also increased accuracy measures as compared with the OAI study, mostly through increases in specificity.

Hand Joint Space Narrowing and Osteophytes Are Associated with Magnetic Resonance Imaging-defined Knee Cartilage Thickness and Radiographic Knee Osteoarthritis: Data from the Osteoarthritis Initiative

2011 ◽  
Vol 39 (1) ◽  
pp. 161-166 ◽  
Author(s):  
IDA K. HAUGEN ◽  
SEBASTIAN COTOFANA ◽  
MARTIN ENGLUND ◽  
TORE K. KVIEN ◽  
DONATUS DREHER ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Joint Space Narrowing ◽  
Joint Space ◽  
Cartilage Thickness ◽  
Resonance Imaging ◽  
Knee Cartilage ◽  
Knee Oa ◽  
Osteoarthritis Initiative ◽  
Hand Radiographs

Objective.To evaluate whether features of radiographic hand osteoarthritis (OA) are associated with quantitative magnetic resonance imaging (MRI)-defined knee cartilage thickness, radiographic knee OA, and 1-year structural progression.Methods.A total of 765 participants in Osteoarthritis Initiative (OAI; 455 women, mean age 62.5 yrs, SD 9.4) obtained hand radiographs (at baseline), knee radiographs (baseline and Year 1), and knee MRI (baseline and Year 1). Hand radiographs were scored for presence of osteophytes and joint space narrowing (JSN). Knee radiographs were scored according to the Kellgren-Lawrence (KL) scale. Cartilage thickness in the medial and lateral femorotibial compartments was measured quantitatively from coronal FLASHwe images. We examined the cross-sectional and longitudinal associations between features of hand OA (total osteophyte and JSN scores) and knee cartilage thickness, 1-year knee cartilage thinning (above smallest detectable change), presence of knee OA (KL grade ≥ 3), and progression of knee OA (KL change ≥ 1) by linear and logistic regression. Both hand OA features were included in a multivariate model (if p ≤ 0.25) adjusted for age, sex, and body mass index (BMI).Results.Hand JSN was associated with reduced knee cartilage thickness (ß = −0.02, 95% CI −0.03, −0.01) in the medial femorotibial compartment, while hand osteophytes were associated with the presence of radiographic knee OA (OR 1.10, 95% CI 1.03–1.18; multivariate models) with both hand OA features as independent variables adjusted for age, sex, and BMI). Radiographic features of hand OA were not associated with 1-year cartilage thinning or radiographic knee OA progression.Conclusion.Our results support a systemic OA susceptibility and possibly different mechanisms for osteophyte formation and cartilage thinning.

scholarly journals Association between meniscal volume and development of knee osteoarthritis

Rheumatology ◽  
2020 ◽  
Author(s):  
Dawei Xu ◽  
Jan van der Voet ◽  
Nils M Hansson ◽  
Stefan Klein ◽  
Edwin H G Oei ◽  
...  
Keyword(s):  
Knee Osteoarthritis ◽  
Primary Outcome ◽  
Joint Space Narrowing ◽  
Joint Space ◽  
Primary Outcome Measure ◽  
Obese Women ◽  
Knee Oa ◽  
Kellgren And Lawrence ◽  
Over Time

Abstract Objective To assess the association between meniscal volume, its change over time and the development of knee OA after 30 months in overweight/obese women. Methods Data from the PRevention of knee Osteoarthritis in Overweight Females study were used. This cohort included 407 women with a BMI ≥ 27 kg/m2, free of OA-related symptoms. The primary outcome measure was incident OA after 30 months, defined by one out of the following criteria: medial or lateral joint space narrowing (JSN)  ≥ 1.0 mm, incident radiographic OA [Kellgren and Lawrence (K&L)  ≥ 2], or incident clinical OA. The secondary outcomes were either of these items separately. Menisci at both baseline and follow-up were automatically segmented to obtain meniscal volume and delta-volumes. Generalized estimating equations were used to evaluate associations between the volume measures and the outcomes. Results Medial and lateral baseline and delta-volumes were not significantly associated to the primary outcome. Lateral meniscal baseline volume was significantly associated to lateral JSN [odds ratio (OR) = 0.87; 95% CI: 0.75, 0.99], while other measures were not. Medial and lateral baseline volume were positively associated to K&L incidence (OR = 1.32 and 1.22; 95% CI: 1.15, 1.50 and 1.03, 1.45, respectively), while medial and lateral delta-volume were negatively associated to K&L incidence (OR = 0.998 and 0.997; 95% CI: 0.997, 1.000 and 0.996, 0.999, respectively). None of the meniscal measures were significantly associated to incident clinical OA. Conclusion Larger baseline meniscal volume and the decrease of meniscal volume over time were associated to the development of structural OA after 30 months in overweight and obese women.

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