CT habitat radiomics and topological data analysis based on interpretable machine learning for prediction of pancreatic ductal adenocarcinoma pathological grading
The Habitat-TDA model improves the accuracy and interpretability of preoperative predictions of PDAC grading, providing a promising tool for personalised management.
Authors
- Jiale Yang (ORCID: https://orcid.org/0000-0003-1576-0718)
- Yang Dong (ORCID: https://orcid.org/0000-0002-9095-1349)
- Xin Qi (ORCID: https://orcid.org/0000-0003-4588-1238)
- Aonan Zhu (ORCID: https://orcid.org/0000-0002-5987-9975)
- Meng Zhang (ORCID: https://orcid.org/0000-0002-8583-2396)
- Tianyu Zhao (ORCID: https://orcid.org/0009-0003-4384-8095)
- Jiadong Song
- Chao Yang (ORCID: https://orcid.org/0009-0001-4009-9573)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Dalian Medical University (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-12-06
- DOI
- https://doi.org/10.1186/s12880-025-02094-1
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00