Preoperative prediction of pituitary neuroendocrine tumor invasion using multiparametric MRI radiomics
The combined radiomics model based on mpMRI can effectively and accurately predict the invasiveness of pituitary neuroendocrine tumor to CS preoperatively, and provide decision-making basis for clinical individualized treatment.
Authors
- Nan Xu (ORCID: https://orcid.org/0000-0001-9912-2347)
- Jialei Wu (ORCID: https://orcid.org/0000-0002-3428-7965)
- Tengfei Ke (ORCID: https://orcid.org/0009-0002-7513-4997)
- Jianxian Yang (ORCID: https://orcid.org/0009-0007-4470-1123)
- Yübo Wang (ORCID: https://orcid.org/0000-0002-2708-3526)
- Jiageng Li
- Yimin He
- Bin Yang
- Qiuyuan Yang
Institutions
- Second Affiliated Hospital of Dalian Medical University (CN)
- The First Hospital of Kunming (CN)
- Air Force General Hospital PLA (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-01-09
- DOI
- https://doi.org/10.3389/fonc.2024.1475950
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36