• Profile
Close

Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: Data from the Cohort Hip and Cohort Knee (CHECK) study

Osteoarthritis and Cartilage Mar 04, 2019

Hirvasniemi J, et al. - Using data from the Cohort Hip and Cohort Knee (CHECK) study, researchers evaluated the ability of proximal femur and acetabulum radiographic-based bone texture variables to predict radiographic hip osteoarthritis (rHOA) incidents over 10 years. Using the area under the receiver operating characteristic curve (ROC AUC), the performance of prediction models was evaluated. The inclusion of variables of bone texture in the models improved the prediction of rHOA and joint space narrowing (JSN) incident, but not the osteophyte score (OST) incident. For predicting incident rHOA or total hip replacement (THR) over 10 years, bone texture analysis provides additional information.
Go to Original
Only Doctors with an M3 India account can read this article. Sign up for free or login with your existing account.
4 reasons why Doctors love M3 India
  • Exclusive Write-ups & Webinars by KOLs

  • Nonloggedininfinity icon
    Daily Quiz by specialty
  • Nonloggedinlock icon
    Paid Market Research Surveys
  • Case discussions, News & Journals' summaries
Sign-up / Log In
x
M3 app logo
Choose easy access to M3 India from your mobile!


M3 instruc arrow
Add M3 India to your Home screen
Tap  Chrome menu  and select "Add to Home screen" to pin the M3 India App to your Home screen
Okay