Time-variant and tissue-level collaterals predict postoperative neurological recovery and clinical outcomes of patients with endovascular thrombectomy
RF model, which has been trained on time-variant and tissue-level collaterals, is capable of accurately predicting the clinical outcomes of patients undergoing EVT. Stratifying patients based on HIR may yield valuable insights into predicting trends in the potential postoperative neurological recovery.
Authors
- Ming Wei (ORCID: https://orcid.org/0000-0001-9612-5577)
- Luotong Wang (ORCID: https://orcid.org/0000-0002-3322-5770)
- Tianhao Yang (ORCID: https://orcid.org/0000-0002-1196-4505)
- Nina Hao
- Chen Cao (ORCID: https://orcid.org/0000-0002-1704-3459)
- Leilei Luo (ORCID: https://orcid.org/0000-0003-4843-5225)
- Leyi Fu (ORCID: https://orcid.org/0000-0002-1386-5551)
- Shuang Xia (ORCID: https://orcid.org/0000-0003-1626-6383)
- Song Jin (ORCID: https://orcid.org/0000-0002-3779-9464)
- Huiying Wang (ORCID: https://orcid.org/0000-0003-0639-7507)
- Yu Sun (ORCID: https://orcid.org/0000-0003-1034-3798)
- Tao Ren (ORCID: https://orcid.org/0000-0001-9586-6648)
- Song Liu (ORCID: https://orcid.org/0000-0002-5154-3115)
- Sifei Wang
- Chao Tian (ORCID: https://orcid.org/0000-0003-1362-7630)
Institutions
- Nankai University (CN)
- Tianjin First Center Hospital (CN)
- Tianjin Huanhu Hospital (CN)
- United Imaging Healthcare (China) (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-30
- DOI
- https://doi.org/10.21037/qims-24-1073
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00