Wide association study of radiological features that predict future knee OA pain: data from the OAI

Jorge I. Galván-Tejada; José M. Celaya-Padilla; Antonio Martínez-Torteya; Juan Rodriguez-Rojas; Víctor Treviño; José G. Tamez-Peña

doi:10.1117/12.2043859

20 March 2014 Wide association study of radiological features that predict future knee OA pain: data from the OAI

Jorge I. Galván-Tejada, José M. Celaya-Padilla, Antonio Martínez-Torteya, Juan Rodriguez-Rojas, Víctor Treviño, José G. Tamez-Peña

Author Affiliations +

Proceedings Volume 9035, Medical Imaging 2014: Computer-Aided Diagnosis; 903539 (2014) https://doi.org/10.1117/12.2043859
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

In this work a case-control study was done using available data form participates in OAI databases. All case-control subjects present no evidence of pain, no medication for pain, and no symptomatic status, case subjects developed pain in some time point of the study. Radiological information was evaluated with a quantitative and a semi-quantitative score by OAI radiologist groups. The multivariate models obtained in the Bioinformatics study suggest that can exist an association between some of the early joint changes and the presence of future pain.

Citation Download Citation

Jorge I. Galván-Tejada, José M. Celaya-Padilla, Antonio Martínez-Torteya, Juan Rodriguez-Rojas, Víctor Treviño, and José G. Tamez-Peña "Wide association study of radiological features that predict future knee OA pain: data from the OAI", Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 903539 (20 March 2014); https://doi.org/10.1117/12.2043859

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE