A qBOLD‐based clinical radiomics‐integrated model for predicting isocitrate dehydrogenase‐1 mutation in gliomas
A clinical radiomics-integrated model that combined qBOLD parametric maps, CE-T1W, and T2W images with age achieved promising performance for predicting IDH1 mutation in glioma patients.
Authors
- Jiaxin Wu (ORCID: https://orcid.org/0000-0001-9184-4062)
- Jie Wen (ORCID: https://orcid.org/0000-0002-8957-8444)
- Jun Qiu
- Ying Yang (ORCID: https://orcid.org/0000-0002-4810-2976)
- Peng Wang (ORCID: https://orcid.org/0000-0001-7863-2022)
- Ying Liu (ORCID: https://orcid.org/0000-0001-8768-3155)
- Yidong Yang (ORCID: https://orcid.org/0000-0002-9036-1314)
- Pan Hu (ORCID: https://orcid.org/0000-0003-3155-2759)
- Wen Sun
Institutions
- University of Science and Technology of China (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1002/mp.17578
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China