Abstract #0966

Subregion-Specific T2-Cluster Analysis Reveals Early Cartilage Changes in Anterior Cruciate Ligament Reconstructed Knees

Valeria Barriobero¹, Marianne S. Black², Katherine A. Young³, Jessica L. Asay³, Seth L. Sherman⁴, Feliks Kogan³, Garry E. Gold³, Brian A. Hargreaves³, Akshay Chaudhari^3,5,6, Anthony A. Gatti³, and Anoosha Pai S⁷

¹Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States, ²Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada, ³Department of Radiology, Stanford University, Stanford, CA, United States, ⁴Department of Orthopaedics, Stanford University, Stanford, CA, United States, ⁵Integrative Biomedical Imaging Informatics, Stanford University, Stanford, CA, United States, ⁶Department of Biomedical Data Science, Stanford University, Stanford, CA, United States, ⁷Department of Bioengineering, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Cartilage, Quantitative Imaging, femoral cartilage, post-traumatic osteoarthritis, T2, ACL reconstruction

Motivation: To assess spatiotemporal changes of femoral cartilage in anterior cruciate ligament reconstructed (ACLR) patients from 3 weeks to 30 months using T2 relaxation times.

Goal(s): Convert cartilage T2 into T2-clusters (longitudinally elevated T2 regions) across 5 femoral cartilage subregions (anterior, medial-central, medial-posterior, lateral-central, and lateral-posterior) and assess longitudinal changes.

Approach: T2-clusters were categorized for femoral cartilage subregions in 15 ACLR subjects, their contralateral knees, and in 15 matched controls at 3 weeks, 3, 9, 18, and 30 months post-ACLR.

Results: Anterior, lateral-posterior, and medial regions saw the greatest changes in T2-clusters across 30 months, with ACLR knees exhibiting larger changes compared to others.

Impact: T2-clusters are better at detecting spatiotemporal variations in T2 within femoral cartilage subregions compared to bulk mean T2. T2-clusters are consistent with patterns of full-thickness defects observed in osteoarthritic cartilage, suggesting its potential application in monitoring cartilage health post-ACLR.

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