Nomogram to predict hemorrhagic transformation using arterial spin labeling MRI in acute ischemic stroke with mechanical endovascular therapy

Motivation: Hemorrhagic transformation (HT) is the most severe complication of acute ischemic stroke. Goal(s): The present study was to construct and internally validate a nomogram model based on pre-treatment arterial spin labeling (ASL) MRI to predict HT in AIS patientsApproach: This retrospective study enrolled 117 AIS patients with anterior circulation large vessel occlusion. Multivariate logistic regression analysis identified that baseline NIHSS, ADC value and pre-treatment ASL hyperperfusion were independent factors affecting HT. Those independent predictors were then incorporated to develop a predictive nomogram model. Results: The nomogram model, could reliably calculated the probability of HT in AIS patients with mechanical endovascular therapy. Impact: The prediction model has significant clinical implications, which could guide clinical screening of high-risk patients and develop more targeted prevention strategies.