Predicting podoplanin expression and prognostic significance in high-grade glioma based on TCGA TCIA radiomics
Radiomics features extracted from MRI images can non-invasively predict PDPN expression and prognosis in HGG, offering a potential imaging biomarker for individualized clinical management.
Authors
- Shengrong Long (ORCID: https://orcid.org/0000-0002-5831-4235)
- Jiazhi Jiang
- Wei Wei (ORCID: https://orcid.org/0000-0002-1365-4869)
- Xiang Li (ORCID: https://orcid.org/0000-0002-6849-353X)
- Hongyu Xu (ORCID: https://orcid.org/0009-0004-4511-6186)
- Mingdong Li (ORCID: https://orcid.org/0000-0003-3929-0220)
- Lesheng Wang
Institutions
- Wuhan University (CN)
- Zhongnan Hospital of Wuhan University (CN)
- China Medical University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1371/journal.pone.0325964
- Citations
- 1
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- National Natural Science Foundation of China