Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
369-03-011 ISMRM Abstract

Predicting Hemorrhagic Transformation after Stroke Thrombolysis by Integrating MRI Radiomics with Clinical Risk Factors

Primary: Neuro - Stroke and Cerebrovascular Disorders
Secondary: Diffusion - DWI/DTI/DKI
369-03-011 · Multiparametric MRI in Stroke · Monday, 11 May, 1:50 PM–2:45 PM · Digital Posters Row J
Keywords: Radiomics Magnetic resonance imaging Machine learning Ischemic Stroke Hemorrhagic transformation
Accepted
Yimuran · Subi1, Pahati · Tuxunjiang1, Ainikaerjiang Aihemaiti1, Hanjiaerbieke Kukun1, Rui Xu1, Yunling Wang1, Yuhui Xiong 2, Yuchen Liu2,3
1Department of Radiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
2GE HealthCare MR Research, Beijing, China
3GE Healthcare, Beijing, China
Presenting Author: Yuhui Xiong

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References

1. And S R, Grynspan J, Aviv R I, et al. Imaging for predicting hemorrhagic transformation of acute ischemic stroke: a narrative review[J]. Canadian Association of Radiologists Journal, 2022, 73(1): 194-202.
2. van der Steen W, van der Ende N A M, Luijten S P R, et al. Type of intracranial hememorrhage after endovascular stroke treatment: association with functional outcome[J]. Journal of NeuroInterventional Surgery, 2023, 15(10): 971-976.
3. Liu C, Zhang Y, Niu L, et al. High level of the fibrin degradation products at admission predicts parenchymal hematoma and unfavorable outcome of ischemic stroke after intravenous thrombolysis[J]. Frontiers in Neurology, 2022, 12: 797394.
4. Hudák I, Kovács B K, Bagoly Z, et al. Clinicopathological observations in acute stroke patients treated with intravenous thrombolysis[J]. Journal of Clinical Medicine, 2024, 13(19): 6012.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/369-03-011