header advert
Orthopaedic Proceedings Logo

Receive monthly Table of Contents alerts from Orthopaedic Proceedings

Comprehensive article alerts can be set up and managed through your account settings

View my account settings

Visit Orthopaedic Proceedings at:

Loading...

Loading...

Full Access

Knee

ASSESMENT OF PATELLOFEMORAL OSTEOARTHRITIS, CORRELATION BETWEEN, SKYLINE RADIOGRAPHS, MRI AND ARTHROSCOPY

British Association for Surgery of the Knee (BASK)



Abstract

Involvement of Patellofemoral joint (PFJ) has significant bearing in the management of osteoarthritis of the knee. The aim of this study is to assess the relationship between skyline radiographs, MRI and arthroscopic findings in the patellofemoral joint.

Data was collected prospectively from fifty-three patients who underwent arthroscopy. There were 36 males and 17 females in the group with mean age of 48 years (range 18-71). Arthroscopically PFJ arthritis was classified based on Outerbridge grading system. Patients with Outerbridge grade III and IV lesions were considered to have significant arthritis of the PFJ. Kellgren-Lawrence grading system was used to assess the skyline radiographs. Radiographically patients with grade III and IV Kelgren-Lawrence changes were considered to have significant osteoarthritis of the PFJ. MRI scans were also studied to assess involvement of PFJ. Thirty-two patients had MRI scan and 20 patients had skyline views done as part of preoperative work up. Arthroscopic findings were considered as gold standard.

MRI scan had specificity of 75%, sensitivity of 81%, positive predictive value of (PPV) 77 and negative predictive value of (NPV) 80% in diagnosing significant PFJ arthritis. Skyline radiographs had specificity of 100%, sensitivity of 50%, PPV of 100% and NPV of 57%. The overall accuracy of skyline radiographs in predicting significant PFJ arthritis was 70% and for MRI was 78%. We conclude that skyline radiographs has some value in he diagnosis of PFJ arthritis, however the sensitivity and negative predictive value is very is poor.