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Related Experiment Videos

Assessing changes in tumour vascular function using dynamic contrast-enhanced magnetic resonance imaging.

Carmel Hayes1, Anwar R Padhani, Martin O Leach

  • 1CRC Clinical Magnetic Resonance Research Group, The Institute of Cancer Research and The Royal Marsden NHS Trust, Downs Road, Sutton SM2 5PT, UK.

NMR in Biomedicine
|March 1, 2002
PubMed
Summary

Dynamic contrast-enhanced MRI (DCE-MRI) analysis shows strong correlation between enhancement rate and K(trans) values in breast cancer patients. Changes in K(trans) predict treatment response, with greater decreases seen in higher pre-treatment K(trans) values.

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging Analysis

Background:

  • Dynamic contrast-enhanced MRI (DCE-MRI) is crucial for cancer diagnosis, staging, and treatment monitoring.
  • Current DCE-MRI analysis methods are non-standardized, hindering multi-institutional data comparison.
  • Variability in analysis techniques limits the sensitivity comparison of different methods.

Purpose of the Study:

  • To investigate correlations between qualitative and quantitative DCE-MRI analysis methods.
  • To assess DCE-MRI analysis for monitoring neo-adjuvant chemotherapy response in breast cancer.
  • To compare whole-tumor region-of-interest analysis with histogram analysis for tumor heterogeneity.

Main Methods:

  • DCE-MRI scans were performed on 15 breast cancer patients before and after chemotherapy.

Related Experiment Videos

  • Analyzed changes in signal enhancement patterns, rate, amplitude, and pharmacokinetic parameters (K(trans), nu(e)).
  • Compared whole-tumor region-of-interest analysis with histogram analysis of K(trans) pixel maps.
  • Main Results:

    • A strong correlation was found between changes in enhancement rate and K(trans) values (Kendall's tau = 0.68, P < 0.001).
    • Signal enhancement curve shape altered significantly only when K(trans) changed by over 50%.
    • Median K(trans) from histogram analysis closely matched region-of-interest analysis; higher pre-treatment K(trans) correlated with greater post-treatment decreases.

    Conclusions:

    • Qualitative and quantitative DCE-MRI analysis methods show strong correlations, particularly enhancement rate and K(trans).
    • K(trans) changes effectively reflect tumor response to neo-adjuvant chemotherapy.
    • Histogram analysis provides comparable K(trans) values to region-of-interest analysis, offering insights into tumor heterogeneity and treatment effects.