Research progress on artificial intelligence-based multimodal imaging for grading pancreatic neuroendocrine neoplasms
ZHANG Yue
LI Haobo
WANG Faying
JI Linlin
LI Xianjun
Abstract：Pancreatic neuroendocrine neoplasms(pNENs)are highly heterogeneous,making accurate preoperative grading crucial for clinical decision-making.Artificial intelligence(AI)-driven noninvasive predictive methods offer novel technical approaches and perspectives for assessing the pathological grade and aggressiveness of pNENs.This review aims to provide a multimodal imaging basis for formulating clinical management strategies and comprehensive tumor assessment,while also identifying directions for future research.
Keywords：pancreasneuroendocrine neoplasmsartificial intelligencemedical imaginggrading
Publication Date：2026-02-20
Online Publishing Date：2026-03-25(First online date of this platform, not the publication date of the document)
Pages：7( 263-269 )