Development and validation of a pathomics model for accurate grading of pancreatic neuroendocrine tumors

Development and validation of a pathomics model for accurate grading of pancreatic neuroendocrine tumors

Abstract Accurate detection of the histological grade of pancreatic neuroendocrine tumors (PanNETs) is important for patients’ prognoses and treatment. Traditional grading methods based on mitotic count and Ki-67 index are subjective and time-consuming. In this work, we developed and validated a pat...

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Bibliographic Details
Main Authors: Ying Li, Chengwei Chen, Yunshuo Zhang, Jieyu Yu, Xu Fang, Fang Liu, Tiegong Wang, Jing Li, Li Wang, Jianping Lu, Hui Jiang, Chengwei Shao, Yun Bian
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-01032-2
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