Continuous-time random walk and fractional order calculus models histogram analysis of glioma biomarkers, including IDH1, ATRX, MGMT, and TERT, on differentiation
The CTRW and FROC models demonstrate good diagnostic performance in predicting different molecular subtypes in diffuse gliomas, and provide new imaging biomarkers for probing tumor structural heterogeneity at a subvoxel level.
Authors
- Wenzhen Zhu (ORCID: https://orcid.org/0000-0001-6252-9450)
- Nanxi Shen (ORCID: https://orcid.org/0000-0003-0805-0902)
- Li Li (ORCID: https://orcid.org/0000-0001-8963-949X)
- Yufei Liu (ORCID: https://orcid.org/0000-0003-1423-6228)
- Jiaxuan Zhang (ORCID: https://orcid.org/0000-0003-2439-7607)
- Yuanhao Li (ORCID: https://orcid.org/0000-0002-6938-5012)
- Hongquan Zhu
- Shihui Li (ORCID: https://orcid.org/0000-0002-0360-3582)
- Yan Xie (ORCID: https://orcid.org/0000-0002-9352-596X)
- Yan Fu
- Yujie Ding (ORCID: https://orcid.org/0009-0007-7719-7402)
Institutions
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-07-01
- DOI
- https://doi.org/10.21037/qims-2024-2725
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00