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Dynamic Contrast-Enhanced (DCE) MRI.

Xin Li1, Wei Huang1, James H Holmes2

  • 1Advanced Imaging Research Center, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.

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|November 25, 2023
PubMed
Summary
This summary is machine-generated.

Dynamic Contrast-Enhanced MRI (DCE-MRI) offers insights into tissue perfusion. Quantitative analysis using pharmacokinetic modeling is now feasible with advanced MRI, but requires careful consideration of technical factors for accurate results.

Keywords:
Contrast agentDCE-MRIDynamic contrast-enhanced magnetic resonance imagingK(trans)PerfusionPermeabilityPharmacokinetic modelingT(1)-weighted bolus tracking

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Area of Science:

  • Radiology
  • Medical Imaging
  • Biophysics

Background:

  • Dynamic Contrast-Enhanced MRI (DCE-MRI) is a non-invasive technique.
  • It provides insights into tissue perfusion and vascularity, primarily in oncology.
  • DCE-MRI assesses morphology and contrast agent kinetics.

Purpose of the Study:

  • To highlight the shift towards quantitative analysis in DCE-MRI.
  • To discuss the role of pharmacokinetic (PK) modeling in DCE-MRI interpretation.
  • To emphasize the importance of technical factors in quantitative DCE-MRI.

Main Methods:

  • Utilizing advanced MRI technology for simultaneous high spatial and temporal resolution.
  • Employing pharmacokinetic (PK) modeling for quantitative data analysis.
  • Interpreting temporal signatures of DCE-MRI data through qualitative, semi-quantitative, and quantitative approaches.

Main Results:

  • Recent advances enable high-resolution DCE-MRI data acquisition.
  • Quantitative analysis using PK modeling is becoming the preferred approach.
  • Technical factors significantly influence quantitative DCE-MRI outcomes.

Conclusions:

  • Quantitative DCE-MRI analysis is facilitated by technological advancements.
  • Careful consideration of technical factors (SNR, temporal resolution, input function, T1, PK model) is crucial.
  • Standardization of acquisition and analysis is vital for multi-center studies.