scholarly journals The effects of different antihypertensive drugs on pain and joint space width of knee osteoarthritis – A comparative study with data from Osteoarthritis Initiative

2021 ◽  
Author(s):  
Mingyang Li ◽  
Yi Zeng ◽  
Yong Nie ◽  
Yuangang Wu ◽  
Yuan Liu ◽  
...  
Keyword(s):  
Comparative Study ◽  
Knee Osteoarthritis ◽  
Antihypertensive Drugs ◽  
Joint Space Width ◽  
Joint Space ◽  
Osteoarthritis Initiative ◽  
Space Width

scholarly journals Quantification of baseline hand joint space width does not differentiate individuals who develop incident knee osteoarthritis from controls: data from the osteoarthritis initiative

2012 ◽  
Vol 20 ◽  
pp. S211
Author(s):  
A.N. O'Brien ◽  
J. Motyl ◽  
J. Duryea ◽  
J.B. Driban ◽  
L.L. Price ◽  
...  
Keyword(s):  
Knee Osteoarthritis ◽  
Joint Space Width ◽  
Joint Space ◽  
Osteoarthritis Initiative ◽  
Space Width

scholarly journals 332 STUDY OF LOCATION SPECIFIC RADIOGRAPHIC JOINT SPACE WIDTH FOR KNEE OSTEOARTHRITIS PROGRESSION: ANALYSIS OF LONGITUDINAL DATA FROM THE OSTEOARTHRITIS INITIATIVE (OAI)

2007 ◽  
Vol 15 ◽  
pp. C185-C186
Author(s):  
J. Duryea ◽  
D.J. Hunter ◽  
L.B. Chibnik ◽  
C. Dabrowski ◽  
M.-P. Hellio Le Graverand-Gastineau ◽  
...  
Keyword(s):  
Longitudinal Data ◽  
Knee Osteoarthritis ◽  
Joint Space Width ◽  
Joint Space ◽  
Osteoarthritis Progression ◽  
Osteoarthritis Initiative ◽  
Space Width

scholarly journals Radiographic joint space width is correlated with 4-year clinical outcomes in patients with knee osteoarthritis: data from the osteoarthritis initiative

2013 ◽  
Vol 21 (9) ◽  
pp. 1185-1190 ◽  
Author(s):  
S.R. Oak ◽  
A. Ghodadra ◽  
C.S. Winalski ◽  
A. Miniaci ◽  
M.H. Jones
Keyword(s):  
Knee Osteoarthritis ◽  
Clinical Outcomes ◽  
Joint Space Width ◽  
Joint Space ◽  
Osteoarthritis Initiative ◽  
Space Width

scholarly journals Machine learning predicts rate of cartilage loss: data from the osteoarthritis initiative (OAI) and the multicenter osteoarthritis (most) studies

2020 ◽  
Vol 8 (9_suppl7) ◽  
pp. 2325967120S0053
Author(s):  
T. Paixão ◽  
M. DiFranco ◽  
C. Goetz ◽  
R. Ljuhar ◽  
P. Meier ◽  
...  
Keyword(s):  
Knee Osteoarthritis ◽  
Plain Radiograph ◽  
Joint Space Width ◽  
Joint Space ◽  
Cartilage Loss ◽  
Validation Dataset ◽  
Deterioration Process ◽  
Patients At Risk ◽  
Osteoarthritis Initiative ◽  
Space Width

Introduction: Loss of cartilage is one of the hallmark radiographic symptoms of osteoarthritis and the direct cause of much of the disability directly related to OA. The rate of cartilage loss can range from a slow deterioration process, lasting decades, to a very rapid deterioration leading to complete loss in as little as 24 months 1. In fact, evidence has been gathering that a subset of OA patients develops an “accelerated” form of knee osteoarthritis 2. Hypotheses: The rate of cartilage loss can vary widely between patients at risk of or suffering from knee osteoarthritis (OA) but its causes remain unknown. We investigate prediction of future joint space width (JSW) loss from single time point quantitative and semi-quantitative radiographic features. Methods: Bilateral knee radiographs acquired at several time points in the context of the MOST study from 2651 patients (1079 female, 1572 male) were collected. Joint space narrowing (JSN), osteophyte and sclerosis OARSI grades, as well as Kellgren-Lawrence (KL) grade and joint space width were obtained from each image using an automated software algorithm. Individuals were classified as fast progressors if the rate of JSW loss, measured via linear regression, was above 10% baseline JSW. Fast progressors were predicted using a logistic regression model trained with KL and OARSI grades at baseline as independent variables. Independent validation was performed on 1900 individuals (1079 female, 821 male) from the Osteoarthritis Initiative (OAI) study. Performance was characterized by the area under the ROC curve (ROC-AUC). Confidence intervals were calculated by bootstrapping. Results: AUCs of 0.84 (0.82; 0.87) were achieved for classifying individual knees as fast progressors on the validation dataset (OAI). KL and sclerosis OARSI grades were the main predictors of rapid cartilage loss. Conclusion: We demonstrate prediction of future rapid cartilage loss from a single plain radiograph with validation on an independent dataset. Sclerosis OARSI grade, but not osteophytes OARSI grade, was a predictor of rapid cartilage loss, suggesting a non-canonical mode of OA progression.

SAT0557 A Clinical Study To Examine Thresholds of Joint Space Width and Joint Space Area for Identification of Knee Osteoarthritis

2016 ◽  
Vol 75 (Suppl 2) ◽  
pp. 871.1-871
Author(s):  
R. Ljuhar ◽  
S. Nehrer ◽  
B. Norman ◽  
D. Ljuhar ◽  
T. Haftner ◽  
...  
Keyword(s):  
Clinical Study ◽  
Knee Osteoarthritis ◽  
Joint Space Width ◽  
Joint Space ◽  
Space Width

scholarly journals The relationship between accurate 3D measurements of cartilage thickness and radiographic joint space width: data from the osteoarthritis initiative

2018 ◽  
Vol 26 ◽  
pp. S450-S451
Author(s):  
M.A. Bowes ◽  
O. Alabas ◽  
G. Guillard ◽  
A. Brett ◽  
P.G. Conaghan
Keyword(s):  
Joint Space Width ◽  
Joint Space ◽  
Cartilage Thickness ◽  
3D Measurements ◽  
Osteoarthritis Initiative ◽  
The Relationship ◽  
Space Width
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