Automated detection of cancer cells in effusion specimens by DNA karyometry.

Journal: Cancer cytopathology
Published Date: Feb 1, 2019

Abstract

BACKGROUND: The average sensitivity of conventional cytology for the identification of cancer cells in effusion specimens is only approximately 58%. DNA image cytometry (DNA-ICM), which exploits the DNA content of morphologically suspicious nuclei measured on digital images, has a sensitivity of up to 91% for the detection of cancer cells. However, when performed manually, to our knowledge to date, an expert needs approximately 60 minutes for the analysis of a single slide.

Authors

  • Alfred H Böcking
    Institute of Cytopathology, University of Dusseldorf, Dusseldorf, Germany.
  • David Friedrich
    Institute of Image Analysis and Computer Vision, RWTH Aachen University, Aachen, Germany.
  • Dietrich Meyer-Ebrecht
    Institute of Image Analysis and Computer Vision, RWTH Aachen University, Aachen, Germany.
  • Chenyan Zhu
    Motic Medical Diagnostic Systems Company LTD, Xiamen, China.
  • Anna Feider
    Praxis Dr. Link, Mettmann, Germany.
  • Stefan Biesterfeld
    Institute of Pathology, Koblenz, Germany.

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