Complementary use of bioluminescence imaging and contrast-enhanced micro-computed tomography in an orthotopic brain

Molecular Imaging
|March 7, 2015
PubMed

Insights

Bioluminescence imaging (BLI) and micro-computed tomography (microCT) can quantify intracranial tumor growth in mice. Combining these methods offers complementary data for treatment planning and monitoring in oncology research.

Area of Science:

  • Oncology
  • Medical Imaging
  • Preclinical Research

Background:

  • Small animal models are vital for oncology research, requiring noninvasive imaging for monitoring disease and therapy response.
  • Micro-computed tomography (microCT) offers limited soft tissue contrast for murine intracranial tumors.
  • Bioluminescence imaging (BLI) is sensitive but not typically used for quantifying tumor volume.

Purpose of the Study:

  • To evaluate the utility of BLI and contrast-enhanced microCT for monitoring intracranial glioblastoma multiforme (GBM) tumor growth in mice.
  • To determine the correlation between BLI intensity, microCT-derived tumor volume, and histological tumor size.
  • To assess the reliability of microCT for tumor volume quantification.

Main Methods:

  • An orthotopic glioblastoma multiforme (GBM) model was established in nude mice.
  • Tumor growth was assessed using bioluminescence imaging (BLI) and contrast-enhanced microCT.
  • Tumor volumes from microCT were compared with BLI intensity and histological analysis.

Main Results:

  • A strong correlation was found between microCT tumor volume and BLI intensity (r = .85, p = .0002).
  • MicroCT tumor volume demonstrated high intraobserver reliability (overlap ratio = 0.84) and low variance (CV = 0.11).
  • MicroCT-delineated tumor size strongly correlated with histological tumor size (r = .88, p = .005).

Conclusions:

  • BLI intensity can be used to estimate tumor volume in preclinical oncology models.
  • Contrast-enhanced microCT provides reliable and reproducible tumor volume measurements.
  • Combining microCT and BLI offers complementary data for improved tumor monitoring and treatment planning in small animal studies.

Related Concept Videos