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Fluorescence Molecular Tomography for In Vivo Imaging of Glioblastoma Xenografts
Published on: April 26, 2018
MRI-coupled fluorescence tomography quantifies EGFR activity in brain tumors
Scott C Davis1, Kimberley S Samkoe, Julia A O'Hara
1Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA. Scott.C.Davis@Dartmouth.edu
Academic Radiology
|February 16, 2010
Summary
Magnetic resonance imaging (MRI)-coupled fluorescence molecular tomography (FMT) accurately identifies epidermal growth factor receptor (EGFR) status in brain tumors. This minimally invasive technique shows promise for cancer research and potential clinical application in human brain cancer patients.
Area of Science:
- Oncology
- Biomedical Imaging
- Molecular Diagnostics
Background:
- Epidermal growth factor receptor (EGFR) is a key target in brain cancer therapy.
- Accurate determination of EGFR status is crucial for effective treatment selection.
- Current methods for assessing EGFR status can be invasive or lack precision.
Purpose of the Study:
- To evaluate the diagnostic potential of MRI-coupled fluorescence molecular tomography (FMT) for determining EGFR status in brain cancer.
- To assess the sensitivity and specificity of this combined imaging technique in preclinical models.
Main Methods:
- Two orthotopic glioma xenograft models with high and low EGFR expression were utilized.
- Mice were injected with a near-infrared fluorophore-conjugated epidermal growth factor (EGF) ligand.
- Animals underwent combined MRI-FMT imaging 48 hours post-injection.
Main Results:
- MRI-FMT successfully differentiated between tumors with high and low EGFR expression.
- Receiver operating characteristic analysis demonstrated 100% sensitivity and specificity.
- The technique also showed high performance in distinguishing EGFR-positive tumors from control groups.
Conclusions:
- MRI-FMT with fluorescent EGF provides excellent discrimination of tumors based on EGFR status.
- This minimally invasive approach offers reliable quantification of receptor status in research animals.
- The findings suggest potential for application in human brain cancer diagnostics and treatment monitoring.

