A Novel Deep Learning–based Pathomics Score for Prognostic Stratification in Pancreatic Ductal Adenocarcinoma
The pathomics score serves as a cost-effective and precise prognostic tool, functioning as an independent prognostic indicator that enables precise stratification and enhances the prediction of prognosis when combined with traditional pathologic features. This advancement has the potential to significantly impact PDAC treatment planning and improve patient outcomes.
Authors
- Cheng‐Wei Chen (ORCID: https://orcid.org/0000-0003-4807-3340)
- Chengwei Shao (ORCID: https://orcid.org/0000-0003-1640-9663)
- Yun Bian (ORCID: https://orcid.org/0000-0002-4863-4956)
- Jieyu Yu (ORCID: https://orcid.org/0000-0002-8701-7440)
- Tiegong Wang
- Xu Fang (ORCID: https://orcid.org/0000-0001-5795-9843)
- Mengmeng Zhu (ORCID: https://orcid.org/0000-0001-9690-1150)
- Hui Jiang (ORCID: https://orcid.org/0000-0002-6256-2733)
- Wenbin Liu (ORCID: https://orcid.org/0000-0001-9091-3177)
- Fang Liu (ORCID: https://orcid.org/0000-0001-9385-0896)
- Jie Fan (ORCID: https://orcid.org/0000-0003-3842-2391)
- Jianping Lu (ORCID: https://orcid.org/0000-0003-1393-9212)
- Youliang Shen
- Jing Li (ORCID: https://orcid.org/0000-0003-2760-0092)
- Xiaohan Yuan
- Xinyue Zhang (ORCID: https://orcid.org/0009-0005-5743-8649)
- Li Wang (ORCID: https://orcid.org/0000-0003-4415-045X)
Institutions
- Second Military Medical University (CN)
- Changhai Hospital (CN)
- Huashan Hospital (CN)
Publication Details
- Journal
- Pancreas
- Published
- 2025-01-15
- DOI
- https://doi.org/10.1097/mpa.0000000000002463
- Citations
- 2
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 2.09