Development and validation of a penumbra-based predictive model for thrombolysis outcome in acute ischemic stroke patients.

ABSTRACT: The use of thrombolysis in acute ischemic stroke is restricted to a small proportion of patients because of the rigid 4·5-h window. With advanced imaging-based patient selection strategy, rescuing penumbra is critical to improving clinical outcomes. In this study, we included 155 acute ischemic stroke patients (84 patients in training dataset, age from 43 to 80, 59 males; 71 patients in validation dataset, age from 36 to 80, 45 males) who underwent MR scan within the first 9-h after onset, from 7 independent centers. Based on the mismatch concept, penumbra and core area were identified and quantitatively analyzed. Moreover, predictive models were developed and validated to provide an approach for identifying patients who may benefit from thrombolytic therapy. Predictive models were constru

SUBMITTER: Tang TY 

PROVIDER: S-EPMC6154778 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature