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    Mitotic count in canine cutaneous mast cell tumors:
    manual counts consistent with highest mitotic density? (2019)

    Art
    Vortrag
    Autoren
    Bertram, Christof (WE 12)
    Aubreville, Marc
    Gurtner, Corinne
    Bartel, Alexander (WE 16)
    Corner, Sarah
    Dettwiler, Martina
    Kershaw, Olivia (WE 12)
    Noland, Erica
    Schmidt, Anja
    Sledge, Dodd
    Smedley, Rebecca
    Thaiwong, Tuddow
    Kiupel, Matti
    Maier, Andreas
    Klopfleisch, Robert (WE 12)
    Kongress
    ACVP & ASVCP 2019 Concurrent Annual Meeting
    San Antonio, 09. – 13.11.2019
    Quelle
    Sprache
    Englisch
    Verweise
    URL (Volltext): https://cdn.ymaws.com/www.acvp.org/resource/resmgr/meetings_&_events/2019/2019_acvp_and_asvcp_final_ab.pdf
    Kontakt
    Institut für Veterinär-Epidemiologie und Biometrie

    Königsweg 67
    14163 Berlin
    +49 30 838 56034
    epi@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Sunday, November 10, 201911:30 a.m. –11:45 a.m.

    Background:
    Current prognostication of canine cutaneous mast cell tumors (ccMCT) requires determining the mitotic count (MC) in tumor areas with the highest mitotic density, which is assumed to correlate best with biological behavior. Due to inconsistent
    area selection, we speculated that identifying highest density might be hampered by inter-observer variation.

    Objective:
    To compare the manual MC with the true mitotic distribution in ccMCTs.

    Methods:
    All mitotic figures in digital slides of 28 ccMCTs were labeled by two pathologists. Image analysis was used to determine ground truth MC distribution throughout the tumor section. Thereafter, manual MCs were performed on scanned sections by eleven pathologists.

    Results:
    The ground truth MC varied between different tumor areas in most examined cases. Manual MCs were within the highest ground truth quartile in only 51.9% of the cases (random chance: 25%). However, there was substantial agreement between participants (κ= 0.865) in consistently identifying either a MC≥7 or MC<7. High accuracy was due to the majority of MCTs having either overall high or low MCs. In contrast, in there were 95.5% falsely low counts in four borderline cases.

    Conclusion:
    Manual MCs often do not represent the most mitotically active tumor regions and area selection may have a significant impact on the MC, in particular in borderline cases. Further standardization of area selection, such as by computerized analysis, is required to achieve higher accuracy of MCs. Regardless of the high variability of mitotic density, prognostication based on manual MCs was very reproducible when published cut-off values were applied.