Combinations of Clinical Factors, CT Signs, and Radiomics for Differentiating High-Density Areas after Mechanical Thrombectomy in Patients with Acute Ischemic Stroke
The combined model based on radiomics had the best performance, indicating that radiomics features can be used as imaging biomarkers to aid in the clinical judgment of the nature of HDA after MT.
Authors
- Shenghong Ju (ORCID: https://orcid.org/0000-0001-5041-7865)
- Dong‐Liang Hu (ORCID: https://orcid.org/0000-0002-4797-1117)
- Guohua Fan (ORCID: https://orcid.org/0000-0003-2950-191X)
- Yuanyuan Wu (ORCID: https://orcid.org/0000-0001-9996-6507)
- Duchang Zhai
- Manman Cui (ORCID: https://orcid.org/0000-0001-7245-7737)
- Yuancheng Wang (ORCID: https://orcid.org/0000-0002-6253-8311)
- Xiuzhi Zhou
- Yan Liu (ORCID: https://orcid.org/0000-0001-5424-4551)
- Wu Cai (ORCID: https://orcid.org/0000-0002-6800-4177)
Institutions
- Soochow University (CN)
- Zhongda Hospital Southeast University (CN)
- Second Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2024-08-09
- DOI
- https://doi.org/10.3174/ajnr.a8434
- Citations
- 3
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Soochow University
- China National Nuclear Corporation
- State Key Laboratory of Radiation Medicine and Protection
- Second Affiliated Hospital of Soochow University