Volumetric growth tracking of patient-derived cancer organoids using optical coherence tomography

Daniel A Gil1,2, Dustin A Deming3,4,5, Melissa C Skala1,2,3

  • 1Department of Biomedical Engineering, University of Wisconsin, Madison, WI 53704, USA.

Insights

Patient-derived cancer organoids (PCOs) offer a rapid in vitro model for drug screening. Optical coherence tomography (OCT) with 3D tracking precisely measures PCO growth and drug response, revealing treatment heterogeneity.

Area of Science:

  • Biomedical Engineering
  • Cancer Research
  • Optical Imaging

Background:

  • Patient-derived cancer organoids (PCOs) are valuable in vitro models for predicting in vivo drug response.
  • Current PCO assessment methods are limited in speed and accuracy for drug screening.
  • High-throughput, clinically relevant drug response evaluation is needed for PCOs.

Purpose of the Study:

  • To develop and validate a rapid, non-destructive method for evaluating PCO volumetric growth and drug response.
  • To assess the utility of swept-source optical coherence tomography (OCT) and 3D single-organoid tracking for PCO analysis.
  • To quantify drug-induced changes and heterogeneity in PCOs.

Main Methods:

  • A custom swept-source OCT system with an inverted imaging geometry was utilized for high-throughput PCO imaging.
  • An automated image analysis framework enabled 3D single-organoid tracking over 48 hours.
  • Volumetric growth rates and drug responses were compared between OCT-based methods and 2D projections.

Main Results:

  • OCT and 3D single-organoid tracking accurately assessed PCO volumetric growth and drug response.
  • Metabolic inhibitors and cancer therapies significantly reduced PCO volumetric growth rates.
  • Single-organoid tracking demonstrated higher sensitivity to drug treatment and identified response heterogeneity.

Conclusions:

  • OCT combined with 3D single-organoid tracking provides a rapid, non-destructive tool for monitoring PCOs.
  • This approach enhances drug screening efficiency and enables quantification of PCO drug response heterogeneity.
  • The developed system offers a promising solution for advancing cancer drug development and personalized medicine.

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