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Reproducibility of reference tissue quantification of dynamic contrast-enhanced data: comparison with a fixed
S Walker-Samuel1, C C Parker, M O Leach
1Cancer Research UK Clinical Magnetic Resonance Imaging Research Group, Institute of Cancer Research, Royal Marsden NHS Foundation Trust, Sutton, Surrey SM2 5PT, UK. simon.walker@icr.ac.uk
Reference tissue analysis in dynamic contrast-enhanced MRI (DCE-MRI) shows lower reproducibility for anti-cancer drug response compared to group-averaged plasma curves. However, it accounts for patient variability and validates the methodology.
Area of Science:
- Medical Imaging
- Pharmacokinetics
- Oncology
Background:
- Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is crucial for analyzing tumor response to anti-cancer therapies.
- Reproducibility in DCE-MRI quantification is essential to distinguish therapy-induced changes from inherent variability.
Purpose of the Study:
- To compare the reproducibility of reference tissue quantification with a group-averaged plasma curve for DCE-MRI analysis.
- To assess the significance of changes in K(trans) for evaluating anti-cancer drug treatment efficacy.
Main Methods:
- DCE-MRI data analysis using reference tissue quantification.
- Comparison of reproducibility metrics against a published group-averaged plasma uptake curve.
- Calculation of significant K(trans) change thresholds for both methods.
Main Results:
- Reference tissue quantification demonstrated poorer reproducibility for most parameters compared to the group-averaged plasma curve.
- A significant change in K(trans) was defined as >41.8% for reference tissue analysis and >16.4% for the group-averaged curve.
- Reference tissue analysis incorporated inter-visit plasma kinetics variability and yielded comparable vascular input functions to the group-averaged curve.
Conclusions:
- Reference tissue quantification in DCE-MRI offers lower reproducibility than group-averaged plasma curves for assessing anti-cancer drug response.
- Despite lower reproducibility, reference tissue analysis provides a validated method that accounts for patient-specific kinetic variations.
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