Open AccessKi-67 Proliferation Index Assessment in Gastroenteropancreatic Neuroendocrine Tumors by Digital Image Analysis With Stringent Case and Hotspot Level Concordance Requirements
Author(s) -
Sarag Boukhar,
Matthew Gosse,
Andrew M. Bellizzi,
Anand Rajan
Publication year - 2020
Publication title -
american journal of clinical pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.859
H-Index - 128
eISSN - 1943-7722
pISSN - 0002-9173
DOI - 10.1093/ajcp/aqaa275
Subject(s) - concordance , digital image analysis , neuroendocrine tumors , proliferation index , medicine , neuroendocrine tumour , proliferative index , ki 67 , pathology , biology , oncology , computational biology , computer science , immunohistochemistry , computer vision
The Ki-67 proliferation index is integral to gastroenteropancreatic neuroendocrine tumor (GEP-NET) assessment. Automated Ki-67 measurement would aid clinical workflows, but adoption has lagged owing to concerns of nonequivalency. We sought to address this concern by comparing 2 digital image analysis (DIA) platforms to manual counting with same-case/different-hotspot and same-hotspot/different-methodology concordance assessment.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom