Comparison of Manual and Automatic Methods of Ki-67 Proliferation Index for Neuroendocrine Tumors: The Development and Validation of a Novel Digital Pathology Tool (Ki-67Counter) Abstract #813

Introduction: Ki-67 proliferation index is an increasingly important biomarker used to grade neuroendocrine tumors. Manual counting methods are laborious and subject to inter- and intra-observer variability. Digital counting methods hold promise for fast and reproducible indices, however, they are fraught with technical difficulties.
Aim(s): To develop an automated tool, Ki-67Counter, to improve the speed, reproducibility, and accuracy of automatic Ki-67 counting.
Materials and methods: We have created digital Ki-67 slides of 46 biopsy and/or resections of pancreatic and gastrointestinal neuroendocrine tumors from the University of Kentucky.
Conference: 11th Annual ENETS Conference 2014 (2014)
Category: Pathology, grading, staging
Presenting Author: Dr. Lin Yang

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