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Analysis of the multivariable logistic regression model as binary classifier of MRI morphologic treatment response with ROC analysis and AUC. The performance of the multivariable logistic regression model as binary classifier was evaluated with receiver operating characteristic (ROC) analysis which revealed an area under the curve (AUC) of 87%. Significance for AUC differing from 0.50 was tested with the Mann–Whitney U test
