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#3317 Digital image analysis of the Ki67 spatial distribution improves classification and grading in gastroenteropancreatic neuroendocrine neoplasms

Introduction: Ki67 is a reliable grading and prognostic biomarker in gastroenteropancreatic neuroendocrine neoplasms (NENs). Intra-tumor heterogeneity of Ki67, correlated with NENs classification, is a valuable factor requiring robust measurement protocols. Digital image analysis enables high accuracy and reproducibility to evaluate the spatial distribution of Ki67.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author: Huang D

Authors: Huang D, Wang X, Tan C, Sheng W,

Keywords: digital image analysis, Ki67, spatial distribution, NEN, classification, grade,