Abstract #1322

Detecting Early Changes in ACL-Reconstructed Knee Cartilage: Cluster Analysis of T2 Relaxation Times in Superficial and Deep Cartilage and ADC Analysis

Marianne Black^1,2, Daehyun Yoon², Kate Young², Akshay S. Chaudhari², Feliks Kogan³, Garry Evan Gold^2,4,5, Marc Elliot Levenston^1,2,5, and Brian Hargreaves^2,5,6

¹Mechanical Engineering, Stanford University, Stanford, CA, United States, ²Radiology, Stanford University, Stanford, CA, United States, ³Stanford University, Stanford, CA, United States, ⁴Orthopedic Surgery, Stanford University, Stanford, CA, United States, ⁵Bioengineering, Stanford University, Stanford, CA, United States, ⁶Electrical Engineering, Stanford University, Stanford, CA, United States

ACL-injured subjects are at an increased risk of developing osteoarthritis. There is a need to detect early osteoarthritic changes for the development of treatments that can slow or stop osteoarthritis progression. T2 and ADC are considered reflective of the structure and composition of cartilage, and may be valuable for detecting early osteoarthritis. This study used two qDESS acquisitions to obtain T2 and ADC maps in 10 ACL-reconstructed subjects and 10 controls 3-weeks, 3-months and 9-months post-surgery. Our results show that T2 cluster analysis was able to detect changes to the ACL-reconstructed knee as early as 3-months post-surgery.

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