- Evaluation of an Artificial Intelligence Model for Identification of Mass Effect and Vasogenic Edema on CT of the Head
This study compared the accuracy of a stand-alone AI model with consensus neuroradiologists’ interpretations in detecting mass effect and vasogenic edema on CT of the head. The ability to identify these findings could assist the clinical workflow through prioritizing the interpretation of abnormal cases.
- Absence of the Susceptibility Vessel Sign with Cancer-Associated Hypercoagulability-Related Stroke
Cancer-associated hypercoagulability-related stroke is presumably caused by fibrin-predominant thrombi and is associated with the absence of the susceptibility vessel sign (sensitivity of 90%/specificity of 78%/ likelihood ratio of 4.06). This is in contradistinction to cardioembolic erythrocyte-predominant thrombi, which demonstrate hypointense signal on T2-weighted gradient-recalled echo images (susceptibility vessel sign).
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