Meeting Banner
Abstract #2731

Detecting Early Changes in ACL-Reconstructed Knee Cartilage Using Diffusion-Weighted MRI

Halston J.C. Sandford1, Marianne Black2,3, Akshay S. Chaudhari2, Arjun Desai2,4, Feliks Kogan1, Brian A. Hargreaves2,4,5, Garry E. Gold2,5,6, and Valentina Mazzoli2
1Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Mechanical Engineering, Stanford University, Stanford, CA, United States, 4Electrical Engineering, Stanford University, Stanford, CA, United States, 5Bioengineering, Stanford University, Stanford, CA, United States, 6Orthopedic Surgery, Stanford University, Stanford, CA, United States

ACL-injured individuals, despite reconstructive surgery, have an increased risk of developing osteoarthritis and methods to identify early changes in cartilage are needed to allow implementation of treatment. Diffusion-weighted MRI (DWI) has been shown to provide information on femoral cartilage health. This study aims to assess the potential of DWI to detect early degenerative changes in articular cartilage following ACL reconstruction. We found that DWI shows elevated ADC values in both ACL-injured and contralateral knees compared with controls at baseline. DWI did not show significant changes in cartilage over time within 18 months of post-ACL-reconstructive surgery.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords