Abstract #2263

Graph Analysis of MRI-Derived Radiomics in Articular Knee Cartilage: Differentiating Healthy from Osteoarthritic Joints

Dominik Vilimek¹, Veronika Janacova^2,3, Radana Vilimkova Kahankova¹, Pavla Hanzlikova^4,5, Jindrich Brablik¹, Michaela Pomaki^4,5, Siegfried Trattnig^2,3,6,7, Radek Martinek¹, and Vladimir Juras²

¹Department of Cybernetics and Biomedical Engineering, VSB Technical University of Ostrava, Ostrava, Czech Republic, ²Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University of Vienna, Vienna, Austria, ³CD Laboratory fo MR Imaging Biomarkers (BIOMAK), Vienna, Austria, ⁴Department of Imaging Methods, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic, ⁵Department of Imaging Method, University Hospital Ostrava, Ostrava, Czech Republic, ⁶Austrian Cluster for Tissue Regeneration, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Vienna, Austria, ⁷Institute for Clinical Molecular MRI in the Musculoskeletal System, Karl Landsteiner Society, Vienna, Austria

Synopsis

Keywords: Cartilage, Radiomics

Motivation: Our study examines the utility of graph-based analyses in revealing the interplay of radiomic features in knee osteoarthritis (OA), specifically to discover patterns that are hidden in traditional analyses.

Goal(s): To differentiate radiomic profiles of healthy individuals from OA patients using graph-based methodologies and identify key features associated with OA progression.

Approach: We analyze feature interconnections within knee joint compartments using MRI-based radiomics and cosine similarity graphs to evaluate features from 20 subjects.

Results: Clustering coefficients and path lengths within the graphs revealed a distinct, pathology-driven convergence of radiomic features in OA patients compared to controls.

Impact: The graph analysis revealed a convergence of radiomic features in OA, potentially contributing to a better understanding of the disease and therefore opening the path to novel analysis strategies.

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