Proton and sodium MRI assessment of emerging tumor chemotherapeutic resistance

Victor D Schepkin1, Kuei C Lee, Kyle Kuszpit

  • 1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL 32310, USA.

NMR in Biomedicine
|August 9, 2006
PubMed

Insights

Sodium and diffusion MRI rapidly assess cancer therapy effectiveness in vivo. These imaging techniques detect early tumor response to BCNU treatment, outperforming traditional methods.

Area of Science:

  • Oncology
  • Medical Imaging
  • Biophysics

Background:

  • Cancer therapy efficacy assessment is often slow and lacks quantitative in vivo measures.
  • Diffusion MRI and sodium MRI show promise in detecting early, therapy-induced changes in tumor cellularity.
  • These imaging modalities offer earlier detection of tumor response compared to traditional volumetric methods.

Purpose of the Study:

  • To evaluate the correlation between tumor sodium and diffusion MRI signals in response to BCNU therapy.
  • To demonstrate the sensitivity of sodium MRI in gauging tumor response to varying doses of BCNU.
  • To validate MRI findings with volumetric measurements and ex vivo tumor sensitivity assays.

Main Methods:

  • Utilized a 9L rat gliosarcoma orthotopic model treated with different doses of BCNU (1,3-bis(2-chloroethyl)-1-nitrosourea).
  • Assessed tumor response using diffusion MRI and sodium MRI after single and repeated BCNU doses.
  • Validated MRI results with ex vivo tumor sensitivity testing and volumetric measurements.

Main Results:

  • A single 26.6 mg/kg BCNU dose induced significant changes in both diffusion and sodium MRI signals.
  • A second equivalent BCNU dose resulted in diminished diffusion and sodium MRI responses, indicating reduced tumor sensitivity.
  • Lower BCNU doses (13.3 mg/kg) showed minimal MRI responses, consistent across initial and secondary applications.

Conclusions:

  • Sodium and diffusion MRI are sensitive tools for the dynamic assessment of tumor response to cancer therapy.
  • These MRI techniques provide early, quantitative insights into therapeutic efficacy, aiding in treatment monitoring.
  • The study highlights the potential of MRI to detect adaptive resistance to chemotherapy in gliosarcoma models.

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