Visual Counting and Automated Image-analytic Assessment of Ki-67 and their Prognostic Value in Synovial Sarcoma
- PMID: 35400010
- PMCID: PMC8962852
- DOI: 10.21873/cdp.10070
Visual Counting and Automated Image-analytic Assessment of Ki-67 and their Prognostic Value in Synovial Sarcoma
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.
Keywords: Ki-67; Ki-67 antigen; Sarcoma; automated; pattern recognition; survival analysis; synovial; visual counting method.
Copyright 2022, International Institute of Anticancer Research.
Conflict of interest statement
The Authors declare that there are no conflicts of interest regarding the publication of this paper.
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