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Endoscopic ultrasonography-based intratumoral and peritumoral machine learning radiomics analyses for distinguishing insulinomas from non-functional pancreatic neuroendocrine tumors.

Frontiers in endocrinology 38952387
OBJECTIVES: To develop and validate radiomics models utilizing endoscopic ultrasonography (EUS) images to distinguish insulinomas from non-functional pancreatic neuroendocrine tumors (NF-PNETs).
Adult Aged Diagnosis, Differential Endosonography Female Humans Insulinoma Machine Learning Male Middle Aged Neuroendocrine Tumors Nomograms Pancreatic Neoplasms Radiomics
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