Quantitative ultrasound for the monitoring of novel microbubble and ultrasound radiosensitization

Justin Lee1, Raffi Karshafian, Naum Papanicolau

  • 1Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, and University of Toronto, Toronto, Ontario, Canada.

Insights

Quantitative ultrasound imaging offers real-time assessment of cancer treatment response. This study shows ultrasound parameters correlate with tumor cell death, aiding in evaluating therapies like radiotherapy and microbubble-based treatments.

Area of Science:

  • Oncology
  • Medical Imaging
  • Biophysics

Background:

  • Cancer imaging needs real-time metabolic and cellular response assessment.
  • Quantitative ultrasound (QUS) shows potential for non-invasive cellular-level tumor response evaluation.
  • Current methods lack real-time feedback on treatment efficacy.

Purpose of the Study:

  • To evaluate the efficacy of quantitative ultrasound techniques for assessing tumor response to anti-cancer treatments.
  • To investigate the correlation between ultrasound backscatter parameters and tumor cell death.
  • To explore the combined effects of radiotherapy and microbubble-based antivascular therapy.

Main Methods:

  • Xenograft-bearing mice models were used.
  • Treatments included varied doses of radiotherapy and microbubble concentrations, both individually and in combination.
  • Quantitative ultrasound parameters (midband fit, spectral intercept) were measured non-invasively.
  • Histopathologic analysis was performed to assess tumor cell death.

Main Results:

  • Statistically significant changes in QUS backscatter parameters were observed with high-dose radiotherapy or high microbubble concentrations.
  • Combined treatment modalities showed enhanced increases in ultrasound parameters.
  • Increased ultrasound parameters strongly correlated with increased tumor cell death.

Conclusions:

  • Quantitative ultrasound is a promising non-invasive tool for real-time monitoring of tumor response to combined therapies.
  • QUS parameters can serve as biomarkers for treatment-induced tumor cell death.
  • This technique could optimize cancer treatment strategies by providing rapid feedback on efficacy.

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