Abstract #1121

3D Cluster Analysis for Cartilage T2 And T1ρ Mapping to Assess Focal Lesions in ACL-Injured Subjects

Anoosha Pai S¹, Anthony A Gatti², Marianne S Black³, Arjun D Desai⁴, Jarrett Rosenberg², Katherine A Young², Jessica L Asay², Seth L Sherman⁵, Garry E Gold², Feliks Kogan², Brian Hargreaves², and Akshay S Chaudhari⁶

¹Bioengineering, Stanford University, Palo Alto, CA, United States, ²Radiology, Stanford University, Palo Alto, CA, United States, ³Mechanical Engineering, University of Victoria, Victoria, BC, Canada, ⁴Electrical Engineering, Stanford University, Palo Alto, CA, United States, ⁵Orthopaedic Surgery, Stanford University, Palo Alto, CA, United States, ⁶Radiology/Integrative Biomedical Imaging Informatics, Stanford University, Palo Alto, CA, United States

Synopsis

Keywords: Cartilage, Osteoarthritis, ACL-injury, cartilage, kneeA 3D pipeline (longitudinal registration followed by cluster analysis) was developed to identify focal-lesions (clusters) of elevated T2 and T1ρ in femoral cartilage over 4-visits (3-weeks, 3, 9, and 18-months) post ACL-reconstruction surgery. Cluster Average (CA) and Cluster Percentage (CP) for T2 were significantly higher for ACL-inured when compared to ACL-contralateral and control-healthy knees. While the CP followed an increasing trend during subsequent visits, CA did not significantly vary across visits. Thus, our method could be effective for identifying and tracking quality (measured by CA) and quantity (measured by CP) of focal lesions in ACL-injured population.

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