Improving radiomics-based differentiation of supratentorial malignant brain tumors preoperatively with diffusion-weighted imaging: A three-class machine learning algorithm
DWI-based radiomic features offered incremental value beyond conventional MRI and improved model performance in discriminating among the three common supratentorial malignant brain tumors (HGG, BM, and PCNSL).
Authors
- Dong‐Ming Yan (ORCID: https://orcid.org/0000-0003-2209-2404)
- Yinhua Li (ORCID: https://orcid.org/0000-0002-2053-1832)
- W.-P. Wang (ORCID: https://orcid.org/0000-0001-8168-7788)
- Jingliang Cheng (ORCID: https://orcid.org/0000-0002-6996-329X)
- Xianzhi Liu (ORCID: https://orcid.org/0000-0002-2144-0350)
- Zilong Wang (ORCID: https://orcid.org/0000-0003-3018-1060)
- Zhenyu Zhang (ORCID: https://orcid.org/0000-0003-2101-1836)
- Yang Guo (ORCID: https://orcid.org/0000-0001-5589-4003)
- Jing Yan (ORCID: https://orcid.org/0000-0003-3784-3952)
- Yusheng Hu (ORCID: https://orcid.org/0000-0003-1795-4209)
- Xueping Zhang (ORCID: https://orcid.org/0000-0003-2032-8831)
- Jinqiao Zhou (ORCID: https://orcid.org/0009-0003-3525-5361)
- Zeyu Ma (ORCID: https://orcid.org/0009-0001-9791-5981)
- Mengjiao Duan
- Chaoli Zhang (ORCID: https://orcid.org/0000-0002-6924-0251)
Institutions
- Henan Provincial People's Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- European Journal of Surgical Oncology
- Published
- 2025-10-25
- DOI
- https://doi.org/10.1016/j.ejso.2025.110533
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Henan Province