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    Mitotic figures - normal, atypical, and imposters:
    a guide to identification (2021)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Donovan, Taryn A.
    Moore, Frances M.
    Bertram, Christof A. (WE 12)
    Luong, Richard
    Bolfa, Pompei
    Klopfleisch, Robert (WE 12)
    Tvedten, Harold
    Salas, Elisa N.
    Whitley, Derick B.
    Aubreville, Marc
    Meuten, Donald J.
    Quelle
    Veterinary pathology : an internat. journal of natural and experimental disease in animals
    Bandzählung: 58
    Heftzählung: 2
    Seiten: 243 – 257
    ISSN: 0300-9858
    Sprache
    Englisch
    Verweise
    URL (Volltext): https://journals.sagepub.com/doi/10.1177/0300985820980049
    DOI: 10.1177/0300985820980049
    Pubmed: 33371818
    Kontakt
    Institut für Tierpathologie

    Robert-von-Ostertag-Str. 15
    14163 Berlin
    +49 30 838 62450
    pathologie@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Counting mitotic figures (MF) in hematoxylin and eosin-stained histologic sections is an integral part of the diagnostic pathologist's tumor evaluation. The mitotic count (MC) is used alone or as part of a grading scheme for assessment of prognosis and clinical decisions. Determining MCs is subjective, somewhat laborious, and has interobserver variation. Proposals for standardizing this parameter in the veterinary field are limited to terminology (use of the term MC) and area (MC is counted in an area measuring 2.37 mm2). Digital imaging techniques are now commonplace and widely used among veterinary pathologists, and field of view area can be easily calculated with digital imaging software. In addition to standardizing the methods of counting MF, the morphologic characteristics of MF and distinguishing atypical mitotic figures (AMF) versus mitotic-like figures (MLF) need to be defined. This article provides morphologic criteria for MF identification and for distinguishing normal phases of MF from AMF and MLF. Pertinent features of digital microscopy and application of computational pathology (CPATH) methods are discussed. Correct identification of MF will improve MC consistency, reproducibility, and accuracy obtained from manual (glass slide or whole-slide imaging) and CPATH approaches.