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

Asmaa IbrahimAyat G LashenAyaka KatayamaRaluca MihaiGraham BallMichael S TossEmad A Rakha
Published in: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc (2021)
Although counting mitoses is part of breast cancer grading, concordance studies showed low agreement. Refining the criteria for mitotic counting can improve concordance, particularly when using whole slide images (WSIs). This study aims to refine the methodology for optimal mitoses counting on WSI. Digital images of 595 hematoxylin and eosin stained sections were evaluated. Several morphological criteria were investigated and applied to define mitotic hotspots. Reproducibility, representativeness, time, and association with outcome were the criteria used to evaluate the best area size for mitoses counting. Three approaches for scoring mitoses on WSIs (single and multiple annotated rectangles and multiple digital high-power (×40) screen fields (HPSFs)) were evaluated. The relative increase in tumor cell density was the most significant and easiest parameter for identifying hotspots. Counting mitoses in 3 mm 2 area was the most representative regarding saturation and concordance levels. Counting in area <2 mm 2 resulted in a significant reduction in mitotic count (P = 0.02), whereas counting in area ≥4 mm 2 was time-consuming and did not add a significant rise in overall mitotic count (P = 0.08). Using multiple HPSF, following calibration, provided the most reliable, timesaving, and practical method for mitoses counting on WSI. This study provides evidence-based methodology for defining the area and methodology of visual mitoses counting using WSI. Visual mitoses scoring on WSI can be performed reliably by adjusting the number of monitor screens.
Keyphrases
  • cell cycle
  • deep learning
  • machine learning
  • optical coherence tomography
  • genome wide
  • peripheral blood
  • cell therapy
  • bone marrow