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Abstract #3297

DTI of Articular Cartilage Can Predict Early Cartilage Damage as Assessed by Histopathology

MAGNA25Jose G. Raya1, Gerd Melkus2, Silvia Adam-Neumair3, Elisabeth Muetzel3, Maximilian F. Reiser3, Peter M. Jakob4, Thorsten Kirsch, Christian Glaser

1Radiology, New York University Langone Medical Center, New York, United States; 2University of California San francisco; 3University of Munich; 4University of Wuerzburg

The aim of this work was to investigate the value of DTI of articular cartilage as predictor for early cartilage damage as assessed by histopathology. 41 cartilage-on-bone samples were examined at 17.6T. After MRI samples underwent histology with safranin-O for histopathology assessment of OA (OARSI score). The prognostic value of DTI was analyzed with logistic regression. Performance of DTI was assessed with ROC-curve analysis and the prediction error with 10-flod cross-validation. DTI demonstrated very good prediction performance (Sensitivity=92.9%, Specificity=77.8%) and a correct classification of more than 3 of 4 samples (78%) in a collective with low OARSI score (12).