Preoperative prediction of pituitary neuroendocrine tumor consistency based on multiparametric MRI radiomics: a multicenter study
In this study, the mpMRI (T1WI+T2WI+CE-T1) radiomics model could effectively and accurately predict the consistency of pituitary neuroendocrine tumor before Surgery, and the prediction efficiency of the radiomics model based on 2D and 3D ROI is different.
Authors
- Hao Hu (ORCID: https://orcid.org/0000-0003-1034-503X)
- Jialei Wu (ORCID: https://orcid.org/0000-0002-3428-7965)
- Yübo Wang (ORCID: https://orcid.org/0000-0002-2708-3526)
- Yimin He
- Bin Yang
- Qiuyuan Yang
- Yan Wang (ORCID: https://orcid.org/0000-0002-7834-7499)
Institutions
- Kunming Medical University (CN)
- Second Affiliated Hospital of Dalian Medical University (CN)
- The First Hospital of Kunming (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1186/s12885-025-14799-1
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- China International Medical Foundation