Validation of a Three-Dimensional Head and Neck Spheroid Model to Evaluate Cameras for NIR Fluorescence-Guided Cancer

Claire Egloff-Juras1,2,3,4, Ilya Yakavets1,3, Victoria Scherrer3

  • 1Université de Lorraine, CNRS UMR 7039, CRAN, F-54000 Nancy, France.

Insights

This study developed a head and neck tumor spheroid model for evaluating near-infrared (NIR) fluorescence-guided surgery cameras. The model effectively assessed indocyanine green (ICG) detection in tissue-like phantoms.

Area of Science:

  • Biomedical Engineering
  • Surgical Technology
  • Oncology

Background:

  • Near-infrared (NIR) fluorescence-guided surgery enhances real-time visualization of tumor margins.
  • Evaluating cameras for NIR fluorescence-guided surgery requires robust preclinical models.

Purpose of the Study:

  • To develop a head and neck multicellular tumor spheroid model.
  • To assess the model's utility for evaluating NIR fluorescence-guided surgery cameras and protocols.

Main Methods:

  • FaDu multicellular tumor spheroids were incubated with indocyanine green (ICG).
  • Spheroids were embedded in tissue-like phantoms at varying depths (2, 5, 8 mm).
  • The capability of a Fluobeam® NIR camera to detect ICG was assessed.

Main Results:

  • Higher ICG fluorescence signal was detected at depths up to 8 mm for spheroids treated with >5 µg/mL ICG (p < 0.05).
  • Fluorescence intensity positively correlated with spheroid size (p < 0.01) and negatively with depth (p < 0.001).
  • Optimal conditions identified: 450 μm spheroids incubated 24h with 0.05 mg/ml ICG.

Conclusions:

  • The developed spheroid-in-phantom model is a simple, reproducible in vitro tool for comparing NIR cameras.
  • This model aids in optimizing NIR fluorescence-guided surgery protocols for head and neck cancers.

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