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Monte Carlo simulation of spatial frequency domain imaging for breast tumors during compression

  • 0Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, Pennsylvania, United States.
Journal of Biomedical Optics +

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September 16, 2024

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September 16, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Spatial frequency domain imaging (SFDI) shows promise for monitoring breast cancer neoadjuvant chemotherapy (NAC) response. Local tissue compression may improve SFDI

Area Of Science

  • Biomedical Optics
  • Medical Imaging
  • Computational Modeling

Background

  • Near-infrared optical imaging, including Spatial Frequency Domain Imaging (SFDI), is explored for monitoring breast cancer response to neoadjuvant chemotherapy (NAC).
  • Endogenous contrast from oxy- and deoxyhemoglobin is key, but SFDI's limited imaging depth is a challenge.
  • Local tissue compression is proposed as a method to reduce effective tumor depth and enhance imaging.

Purpose Of The Study

  • To evaluate SFDI's potential for predicting therapy response in breast cancer.
  • To model how changes in tumor size, stiffness, and hemoglobin concentration affect SFDI contrast under tissue compression.

Main Methods

  • Utilized finite element analysis to simulate tissue compression on an inclusion model.
  • Combined finite element analysis with Monte Carlo simulations to predict optical contrast.
  • Investigated the impact of compression on optical contrast, considering both mechanical effects and blood volume changes.

Main Results

  • Without considering blood volume changes, compression increased contrast with larger, stiffer inclusions and decreased it with depth.
  • When blood volume reduction due to compression was modeled, compression decreased imaging contrast.
  • This contrast reduction was more pronounced for larger and stiffer inclusions at shallower depths.

Conclusions

  • This computational study is a foundational step towards using SFDI with local compression for tracking tumor changes during NAC.
  • The findings highlight the complex interplay between tissue compression, optical properties, and imaging contrast.
  • Further research is needed to validate these modeling predictions in clinical settings.

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