Defining hotspot for estimation of Ki-67 proliferation index of neuroendocrine tumors: QuPath algorithm vs. manual assessment

Background: Ki-67 proliferation index (PI) is essential for grading well-differentiated neuroendocrine tumors (WD-NETs). Pathologists traditionally assess Ki-67 PI by identifying hotspots and manually counting the positive cells among negative cells, which is expressed as a percentage. We developed...

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Detalhes bibliográficos

Principais autores:	Ruben Oganesyan, Osman Yilmaz, Yevgen Chornenkyy, Kanchan Kantekure, Yuho Ono, Buthania Hakamy, Nandan Padmanabha, Vikram Deshpande, Raul S. Gonzalez, Monika Vyas
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-04-01
Colecção:	Journal of Pathology Informatics
Assuntos:	Well-differentiated neuroendocrine tumors Computer assisted grading QuPath Ki-67
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2153353926001136
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