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In histological preparations of tumors, an important criterion for evaluation of malignancy is the variation of nuclear size (anisokaryosis), which is traditionally estimated by pathologists. To improve reproducibility, nuclear size measurements (morphometry) can be performed. In this study [1] we developed a segmentation-based nuclear morphometry algorithm and compared its prognostic value with pathologist’s estimates (routine method) and manual morphometry (gold standard method).

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Abstract: Nuclear Pleomorphism in Canine Cutaneous Mast Cell Tumors

  • 会议论文

  • 发表日期：

    2025年

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  • Andreas Haghofer,
  • Eda Parlak,
  • Alexander Bartel,
  • Taryn A. Donovan,
  • Charles-Antoine Assenmacher,
  • Pompei Bolfa,
  • Michael J. Dark,
  • Andrea Fuchs-Baumgartinger,
  • Andrea Klang,
  • Kathrin Jäger,
  • Robert Klopfleisch,
  • Sophie Merz,
  • Barbara Richter,
  • Yvonne Schulman,
  • Hannah Janout,
  • Jonathan Ganz,
  • Josef Scharinger,
  • Marc Aubreville,
  • Stephan M. Winkler,
  • Matti Kiupel,
  • Christof A. Bertram

摘要

In histological preparations of tumors, an important criterion for evaluation of malignancy is the variation of nuclear size (anisokaryosis), which is traditionally estimated by pathologists. To improve reproducibility, nuclear size measurements (morphometry) can be performed. In this study [1] we developed a segmentation-based nuclear morphometry algorithm and compared its prognostic value with pathologist’s estimates (routine method) and manual morphometry (gold standard method).