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Fig. 4 | Journal of Cardiovascular Magnetic Resonance

Fig. 4

From: Identification of high risk clinical and imaging features for intracranial artery dissection using high-resolution cardiovascular magnetic resonance

Fig. 4

The power of different features and parameters in differentiating culprit and non-culprit lesions. a Four lower curves show the diagnostic performance of each independent parameters to identify the culprit IAD; b the four higher curves show diagnostic performance of combining the traditional features (age and hypertension) and DSA with or without hrCMR feature (hematoma) to differentiate the culprit dissection from non-culprit one, and the highest area under the curve (AUC) value of receiver operator characteristics (ROC) pooling traditional features and hrCMR feature was the AUC value of ROC pooling traditional features and hrCMR feature (0.940) is higher than that of ROC from DSA + hrCMR (0.918)

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