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Related Experiment Video

Updated: Oct 13, 2025

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach
07:16

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach

Published on: April 25, 2025

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High-resolution three-dimensional imaging for precise staging in melanoma.

Simon F Merz1, Philipp Jansen2, Ricarda Ulankiewicz2

  • 1Institute for Experimental Immunology and Imaging, University Hospital, University Duisburg-Essen, Essen, Germany; Department of Dermatology, Venerology and Allergology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; West German Cancer Center, University Duisburg-Essen, 45122, Essen, Germany; German Consortium for Translational Cancer Research, Partner Site University Hospital Essen, Essen, Germany.

European Journal of Cancer (Oxford, England : 1990)
|November 13, 2021
PubMed
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This summary is machine-generated.

This study introduces a 3D digital pathology method using light-sheet fluorescence microscopy (LSFM) for analyzing entire sentinel lymph nodes (SLNs) in melanoma patients. This advanced technique improves metastasis detection sensitivity and accuracy compared to traditional methods.

Area of Science:

  • Oncology
  • Pathology
  • Medical Imaging

Background:

  • Sentinel lymph node (SLN) biopsy is crucial for melanoma staging, but current analysis methods have limitations.
  • Partial tissue sampling of SLNs leads to a high false-negative rate for detecting microscopic metastases.
  • Accurate assessment of metastatic load and location in SLNs is vital for precise melanoma prognosis.

Purpose of the Study:

  • To develop and evaluate a novel method for analyzing entire SLNs with cellular resolution.
  • To improve the sensitivity and accuracy of metastasis detection in melanoma SLNs.
  • To overcome the limitations of conventional histopathological assessment of SLNs.

Main Methods:

  • A prospective study involving eleven melanoma patients undergoing SLN biopsy.
Keywords:
Light sheet microscopyMelanomaSentinel lymph nodeStaging

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  • SLNs were processed using optical clearing, whole-mount staining, and light-sheet fluorescence microscopy (LSFM).
  • A custom algorithm (RAYhance) was developed for interactive visualization of LSFM data, enabling comparison with standard histopathology.

    • Main Results:

    • LSFM successfully confirmed all metastases detected by routine histopathology in a pilot study of 21 SLNs.
    • The LSFM approach identified additional metastases missed by conventional histology in melanoma patients.
    • This enhanced detection led to new therapeutic options for at least one patient.

    Conclusions:

    • The developed 3D digital pathology approach significantly enhances the sensitivity and accuracy of SLN metastasis detection in melanoma.
    • This technique holds the potential to reduce or replace conventional histopathological assessment in the future.
    • The study provides a foundation for advanced SLN analysis in oncology.