Literature DB >> 23806202

Are we counting mitoses correctly?

Nuri Yigit1, Armagan Gunal, Zafer Kucukodaci, Yildirim Karslioglu, Onder Onguru, Ayhan Ozcan.   

Abstract

The number of mitotic figures in a predefined area is essential in pathologic evaluation for most tumors. This information sometimes provides clues in differentiating neoplastic lesions from nonneoplastic ones and sometimes in defining and grading of the tumors as well as prognosticating expected lifetime of the patient. As a generally accepted concept, scanning a certain number of consecutive nonoverlapping areas that are rich in viable tumor cells is required. Invasion fronts or the periphery of the tumors is preferred for counting mitosis. The target area to be counted for mitotic activity for various tumors is standardized as the number of mitosis in an established number of high-power fields. However, suggested mitotic counts, which constitute the basis of these studies, were obtained via the old microscopes, which usually had narrower visual fields than the state-of-the-art microscopes. Because the visual fields of the present microscopes provide larger areas compared with the older ones, corrections in mitosis counting are needed to make them compatible with the criteria, which had been put forward in the original reference studies.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Counting mitosis; Mitotic activity index (MAI); Ocular magnification; Visual field area

Mesh:

Year:  2013        PMID: 23806202     DOI: 10.1016/j.anndiagpath.2013.05.005

Source DB:  PubMed          Journal:  Ann Diagn Pathol        ISSN: 1092-9134            Impact factor:   2.090


  4 in total

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Authors:  Lester D R Thompson; Anthony J Gill; Sylvia L Asa; Roderick J Clifton-Bligh; Ronald R de Krijger; Noriko Kimura; Paul Komminoth; Ernest E Lack; Jacques W M Lenders; Ricardo V Lloyd; Thomas G Papathomas; Peter M Sadow; Arthur S Tischler
Journal:  Hum Pathol       Date:  2020-05-11       Impact factor: 3.466

2.  Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses.

Authors:  Liron Pantanowitz; Douglas Hartman; Yan Qi; Eun Yoon Cho; Beomseok Suh; Kyunghyun Paeng; Rajiv Dhir; Pamela Michelow; Scott Hazelhurst; Sang Yong Song; Soo Youn Cho
Journal:  Diagn Pathol       Date:  2020-07-04       Impact factor: 2.644

3.  (Re) Defining the High-Power Field for Digital Pathology.

Authors:  David Kim; Liron Pantanowitz; Peter Schüffler; Dig Vijay Kumar Yarlagadda; Orly Ardon; Victor E Reuter; Meera Hameed; David S Klimstra; Matthew G Hanna
Journal:  J Pathol Inform       Date:  2020-10-09

4.  Defining the area of mitoses counting in invasive breast cancer using whole slide image.

Authors:  Asmaa Ibrahim; Ayat G Lashen; Ayaka Katayama; Raluca Mihai; Graham Ball; Michael S Toss; Emad A Rakha
Journal:  Mod Pathol       Date:  2021-12-11       Impact factor: 8.209

  4 in total

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