EUS-based intratumoral and peritumoral machine learning radiomics analysis for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer

EUS-based intratumoral and peritumoral machine learning radiomics analysis for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer

ObjectivesThis study aimed to develop and validate intratumoral, peritumoral, and combined radiomic models based on endoscopic ultrasonography (EUS) for retrospectively differentiating pancreatic neuroendocrine tumors (PNETs) from pancreatic cancer.MethodsA total of 257 patients, including 151 with...

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Bibliographic Details
Main Authors: Shuangyang Mo, Nan Yi, Fengyan Qin, Huaying Zhao, Yingwei Wang, Haiyan Qin, Haixiao Wei, Haixing Jiang, Shanyu Qin
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Oncology
Subjects:
pancreatic neuroendocrine tumors
peritumoral
endoscopic ultrasonography
radiomics
machine learning
pancreatic cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1442209/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1442209/full

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