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Breslow thickness: Geometric interpretation, potential pitfalls, and computer automated estimation.

Nico Curti1, Giulia Veronesi2, Emi Dika3

  • 1eDIMESLab, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy.

Pathology, Research and Practice
|September 20, 2022
PubMed
Summary

Breslow thickness, a key prognostic factor for cutaneous melanoma, faces measurement challenges due to section bending and curling. These geometrical issues impact computer-aided estimations, affecting clinical accuracy.

Keywords:
Computational geometryComputer aided diagnosisComputer visionDermatologyHistologyMelanomaPathomicsWhole slide imaging

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Area of Science:

  • Dermatology
  • Pathology
  • Medical Imaging

Background:

  • Breslow thickness is a critical prognostic indicator for cutaneous melanoma, guiding clinical decisions.
  • It quantifies melanocyte position using a reliable clinical distance metric.

Discussion:

  • This letter highlights geometrical challenges in Breslow thickness measurement, specifically section bending and curling.
  • These artifacts introduce inaccuracies in distance calculations.
  • Consequences for computer-automated Breslow thickness estimation are discussed.

Key Insights:

  • Section bending and curling are significant sources of error in Breslow thickness measurement.
  • Geometrical distortions can compromise the reliability of automated estimation methods.
  • Accurate Breslow thickness measurement is vital for melanoma prognosis.

Outlook:

  • Further research is needed to develop robust methods for correcting geometrical distortions in tissue sections.
  • Improved automated estimation algorithms are required to account for section artifacts.
  • Standardized protocols for tissue handling and imaging may mitigate measurement errors.