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Advancing Near-Infrared Probes for Enhanced Breast Cancer Assessment.

Mohammad Pouriayevali1, Ryley McWilliams1, Avner Bachar1,2

  • 1School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC V3T 0A3, Canada.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
Summary
This summary is machine-generated.

A new handheld Near-Infrared Diffuse Optical Tomography (NIR DOT) probe offers a portable, cost-effective solution for breast cancer detection. This advanced imaging tool shows high sensitivity and specificity for early tumor identification and monitoring treatment response.

Keywords:
biosensorbreast cancerchemotherapymachine learningresidual cancer burden

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Oncology

Background:

  • Breast cancer is a leading cause of death in women, necessitating improved early detection methods.
  • Current imaging techniques like mammography and MRI have limitations in sensitivity, specificity, cost, and patient comfort.
  • There is a critical need for advanced, accessible diagnostic tools for breast cancer management.

Purpose of the Study:

  • To introduce and evaluate a novel handheld Near-Infrared Diffuse Optical Tomography (NIR DOT) probe for breast cancer imaging.
  • To assess the probe's capability for precise tumor localization and monitoring therapeutic responses.
  • To explore the potential of NIR DOT as a portable, cost-effective alternative to conventional breast imaging.

Main Methods:

  • Development of a handheld NIR DOT probe (NIRscan) using multi-wavelength LEDs and a CCD sensor.
  • Acquisition of real-time optical data and reconstruction of cross-sectional breast tissue images using scattering and absorption coefficients.
  • Integration of machine learning algorithms and a modified diffusion equation (MDE) for enhanced image reconstruction accuracy and speed.

Main Results:

  • Clinical evaluations demonstrated high diagnostic performance with 94.7% sensitivity and 84.2% specificity.
  • The probe enables functional imaging, distinguishing between healthy and malignant breast tissues.
  • The system supports rapid, non-invasive diagnostics with potential for precise tumor localization and treatment monitoring.

Conclusions:

  • The handheld NIR DOT probe represents a significant advancement in portable, cost-effective breast cancer detection.
  • This technology has the potential to improve breast cancer diagnostics, particularly in low-resource settings.
  • Further integration with machine learning and advanced physics models can enhance its clinical utility and accessibility.