Visual Counting and Automated Image-analytic Assessment of Ki-67 and their Prognostic Value in Synovial Sarcoma

Riikka E Laurila, Tom O Böhling, Carl P Blomqvist, Christina Karlsson, Erkki J Tukiainen, Jussi Repo, Mika M Sampo

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    Abstract

    BACKGROUND: Ki-67 is a widely used proliferation marker reflecting prognosis in various tumors. However, visual assessment and scoring of Ki-67 suffers from marked inter-observer and intra-observer variability. We aimed to assess the concordance of manual counting and automated image-analytic scoring methods for Ki-67 in synovial sarcoma.

    PATIENTS AND METHODS: Tissue microarrays from 34 patients with synovial sarcoma were immunostained for Ki-67 and scored both visually and with 3DHistech QuantCenter.

    RESULTS: The automated assessment of Ki-67 expression was in good agreement with the visually counted Ki-67 (r Pearson =0.96, p<0.001). In a Cox regression model automated [hazard ratio (HR)=1.047, p=0.024], but not visual (HR=1.063, p=0.053) assessment method associated high Ki-67 scores with worse overall survival.

    CONCLUSION: The automated Ki-67 assessment method appears to be comparable to the visual method in synovial sarcoma and had a significant association to overall survival.

    Original languageEnglish
    Pages (from-to)7-14
    Number of pages8
    JournalCancer diagnosis & prognosis
    Volume2
    Issue number1
    DOIs
    Publication statusPublished - 2022
    Publication typeA1 Journal article-refereed

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