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Abstract #4588

High prediction accuracy for functional outcome of acute ischemic stroke using nomogram based on clinical factors and radiomics features

Yiran Zhou1, Guiling Zhang1, Wenzhen Zhu1, and Weiyin Vivian Liu2
1Tongji Hospital affiliated to Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China, 2GE Healthcare, Beijing, China


To develop a nomogram for accurate prediction of acute ischemic stroke (AIS) outcome, 522 AIS patients were retrospectively selected in this study. Radiomics features were extracted from DWI and ADC maps and radiomics score was established. Logistic regression analysis was implemented to sift independent clinical factors and construct prediction model. Finally, the nomogram incorporated age, sex, stroke history, diabetes, baseline modified Rankin Scale, baseline National Institutes of Health Stroke Scale score and radiomics score yield the great predictive performance with an AUC-ROC of 0.868 in training cohort and 0.890 in validation cohort, the AUC-PR reached 0.733 and 0.787 respectively.

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