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

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Knee pain is a common and one of the most important symptoms in Osteoarthritis (OA), and due to its nature it is a debilitating feature of OA. However, joint pain is a late manifestation of this illness. But, in early stages of the disease, changes in joint structures can be observed, some of the most common being: formation of bony osteophytes, cartilage degradation and joint space reduction. Given that these characteristics are early symptoms of radiological OA, this study aimed to achieve an association between these radiological features and joint pain caused by OA. Using public data from the Osteoarthritis Initiative (OAI), a case-control study was performed, where a multivariate feature selection algorithm was used to determine a relationship between future joint pain and the radiological evidence of the disease. Subjects showing no evidence of pain at their baseline visit, no medication for pain, and no symptomatic status, were included in this study. Those who developed pain at a posterior time point were considered as cases, the rest as controls. Radiological information was evaluated using two different scores, one quantitative and one semi-quantitative, both assessed by OAI radiologist groups. The obtained models suggest that early joint structure changes can be associated with future joint pain. An image based biomarker that could predict future pain, measured in early OA stages, could become a useful tool to improve the quality of life of people dealing OA. © 2014 SPIE.
Original languageEnglish
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
EventProgress in Biomedical Optics and Imaging - Proceedings of SPIE -
Duration: 1 Jan 2014 → …

Conference

ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Period1/1/14 → …

Fingerprint

pain
Knee Osteoarthritis
Osteoarthritis
Association reactions
Pain
Arthralgia
Cartilage
Biomarkers
Feature extraction
Degradation
Joints
Osteophyte
cartilage
biomarkers
Case-Control Studies
Knee
Quality of Life
degradation

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Galván-Tejada, J. I., Celaya-Padilla, J. M., Martínez-Torteya, A., Rodriguez-Rojas, J., Treviño, V., & Tamez-Peña, J. G. (2014). Wide association study of radiological features that predict future knee OA pain: Data from the OAI. Paper presented at Progress in Biomedical Optics and Imaging - Proceedings of SPIE, . https://doi.org/10.1117/12.2043859
Galván-Tejada, Jorge I. ; Celaya-Padilla, José M. ; Martínez-Torteya, Antonio ; Rodriguez-Rojas, Juan ; Treviño, Víctor ; Tamez-Peña, José G. / Wide association study of radiological features that predict future knee OA pain: Data from the OAI. Paper presented at Progress in Biomedical Optics and Imaging - Proceedings of SPIE, .
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abstract = "Knee pain is a common and one of the most important symptoms in Osteoarthritis (OA), and due to its nature it is a debilitating feature of OA. However, joint pain is a late manifestation of this illness. But, in early stages of the disease, changes in joint structures can be observed, some of the most common being: formation of bony osteophytes, cartilage degradation and joint space reduction. Given that these characteristics are early symptoms of radiological OA, this study aimed to achieve an association between these radiological features and joint pain caused by OA. Using public data from the Osteoarthritis Initiative (OAI), a case-control study was performed, where a multivariate feature selection algorithm was used to determine a relationship between future joint pain and the radiological evidence of the disease. Subjects showing no evidence of pain at their baseline visit, no medication for pain, and no symptomatic status, were included in this study. Those who developed pain at a posterior time point were considered as cases, the rest as controls. Radiological information was evaluated using two different scores, one quantitative and one semi-quantitative, both assessed by OAI radiologist groups. The obtained models suggest that early joint structure changes can be associated with future joint pain. An image based biomarker that could predict future pain, measured in early OA stages, could become a useful tool to improve the quality of life of people dealing OA. {\circledC} 2014 SPIE.",
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Galván-Tejada, JI, Celaya-Padilla, JM, Martínez-Torteya, A, Rodriguez-Rojas, J, Treviño, V & Tamez-Peña, JG 2014, 'Wide association study of radiological features that predict future knee OA pain: Data from the OAI' Paper presented at Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 1/1/14, . https://doi.org/10.1117/12.2043859

Wide association study of radiological features that predict future knee OA pain: Data from the OAI. / Galván-Tejada, Jorge I.; Celaya-Padilla, José M.; Martínez-Torteya, Antonio; Rodriguez-Rojas, Juan; Treviño, Víctor; Tamez-Peña, José G.

2014. Paper presented at Progress in Biomedical Optics and Imaging - Proceedings of SPIE, .

Research output: Contribution to conferencePaper

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AU - Galván-Tejada, Jorge I.

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AU - Treviño, Víctor

AU - Tamez-Peña, José G.

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Galván-Tejada JI, Celaya-Padilla JM, Martínez-Torteya A, Rodriguez-Rojas J, Treviño V, Tamez-Peña JG. Wide association study of radiological features that predict future knee OA pain: Data from the OAI. 2014. Paper presented at Progress in Biomedical Optics and Imaging - Proceedings of SPIE, . https://doi.org/10.1117/12.2043859