Distributed parameter model of dynamic contrast-enhanced MRI in the identification of IDH mutation, 1p19q codeletion, and tumor cell proliferation in glioma patients
DP model showed a clear advantage in predicting <i>1p/19q</i> status compared to Ex-Tofts model. The DP and Ex-Tofts models performed similarly in predicting <i>IDH</i> mutation and <i>Ki-67</i> index.
Authors
- Eryuan Gao (ORCID: https://orcid.org/0000-0003-1197-8904)
- Huiyu Huang
- Guohua Zhao (ORCID: https://orcid.org/0000-0002-8693-1193)
- Gaoyang Zhao (ORCID: https://orcid.org/0000-0003-2096-0183)
- Jingliang Cheng (ORCID: https://orcid.org/0000-0001-9944-8419)
- Yu Zhang (ORCID: https://orcid.org/0000-0003-4952-8095)
- Jinbo Qi (ORCID: https://orcid.org/0000-0002-8949-6318)
- Yong Zhang (ORCID: https://orcid.org/0000-0002-2689-5100)
- Peipei Wang (ORCID: https://orcid.org/0000-0002-9877-2441)
- Xiaoyue Ma (ORCID: https://orcid.org/0000-0002-8099-8979)
- Kai Zhao (ORCID: https://orcid.org/0009-0000-5186-2952)
- Jie Bai (ORCID: https://orcid.org/0000-0002-7744-1117)
- Zujun Hou (ORCID: https://orcid.org/0000-0002-3354-7358)
- Ting Chen
Institutions
- Chinese Academy of Sciences (CN)
- Suzhou Institute of Biomedical Engineering and Technology (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-10-25
- DOI
- https://doi.org/10.3389/fonc.2024.1333798
- Citations
- 7
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.07
Funders
- Henan Medical Science and Technique Foundation