3D magnetic resonance fingerprinting in preoperative prediction of glioma grade and ki67 increment index
Motivation: MRF may help to distinguish the grade of glioma and ki67 increment index before operation, and help to guide the postoperative treatment. Goal(s): The T1 and T2 values obtained by MRF are used to distinguish the grade of glioma and the ki67 proliferation coefficient. Approach: The T1 and T2 values derived from MRF are used to predict the WHO grade of glioma and the Ki67 proliferation coefficient. Results: The quantitative T1 and T2 values of MRF were significantly higher in low-grade gliomas and low-ki67 proliferative line groups compared to high-grade gliomas and high-ki67 proliferative line groups. Impact: This study is helpful to predict preoperative grade of glioma and ki67 increment coefficient, and to improve the accuracy of diagnosis to some extent.
Authors
- Yaping Wu (ORCID: https://orcid.org/0000-0002-2979-5332)
- Yan Bai (ORCID: https://orcid.org/0000-0002-1090-341X)
- Wei Wei (ORCID: https://orcid.org/0009-0000-6345-5369)
- Meiyun Wang (ORCID: https://orcid.org/0000-0001-8779-6184)
- Xinyao Liu (ORCID: https://orcid.org/0009-0007-0478-8981)
- Li Wang
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/5012
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00