Deep learning network based on high-resolution magnetic resonance vessel wall imaging combined with attention mechanism for predicting stroke recurrence in patients with symptomatic intracranial atherosclerosis
The integrated model combining DL with an attention mechanism based on HR-VWI exhibits excellent performance in assessing the risk of stroke recurrence in sICAS patients. This advancement holds significant potential in assisting clinicians in diagnosis and developing individualized treatment strategies.
Authors
- Yongdong Li (ORCID: https://orcid.org/0000-0001-8756-0438)
- Lin Han (ORCID: https://orcid.org/0000-0002-2086-9438)
- Zhanhua Wei (ORCID: https://orcid.org/0000-0003-2687-0293)
- Ruifang Yan (ORCID: https://orcid.org/0000-0002-8122-4932)
- Ziang Li (ORCID: https://orcid.org/0000-0003-3014-0525)
- Yan-cong Sun
- Yu Gao (ORCID: https://orcid.org/0000-0002-4210-7338)
- Qingming Zhao (ORCID: https://orcid.org/0009-0000-2489-1088)
- Hongkai Cui (ORCID: https://orcid.org/0000-0003-4969-4835)
- Ping Zhang (ORCID: https://orcid.org/0000-0001-9163-6191)
- Wenpeng Wang (ORCID: https://orcid.org/0000-0002-8358-0375)
- Beichen Xie (ORCID: https://orcid.org/0000-0002-1010-0676)
- Xin Du (ORCID: https://orcid.org/0009-0001-3292-1467)
- Xiaoyang Zhai (ORCID: https://orcid.org/0000-0002-2924-221X)
- Jie Wang (ORCID: https://orcid.org/0000-0002-2997-3450)
Institutions
- Shanghai Jiao Tong University (CN)
- Second Affiliated Hospital of Zhengzhou University (CN)
- First Affiliated Hospital of Xinxiang Medical University (CN)
- Shanghai Sixth People's Hospital (CN)
- Henan Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-1723
- Citations
- 1
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.52