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  1. Home
  3. Assessing Treatment Response In Soft Tissue Sarcoma Using Dynamic Contrast-enhanced Mri: A Systematic Review.
  1. Home
  3. Assessing Treatment Response In Soft Tissue Sarcoma Using Dynamic Contrast-enhanced Mri: A Systematic Review.

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Assessing Treatment Response in Soft Tissue Sarcoma Using Dynamic Contrast-Enhanced MRI: A Systematic Review.

Peyman Mirghaderi1, Nasim Eshraghi1, Hyeyun Lee2

  • 1Department of Radiology, Division of Musculoskeletal Imaging and Intervention, University of Washington, Seattle, WA, USA.

Korean Journal of Radiology
|June 1, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Dynamic contrast-enhanced MRI (DCE-MRI) shows promise for assessing neoadjuvant therapy response in soft tissue sarcomas (STS). Quantitative parameters like Ktrans correlate with treatment outcomes, aiding in predicting patient response.

Keywords:
Dynamic contrast-enhancedImaging biomarkerMagnetic resonance imagingNeoadjuvant therapyPerformancePredictionResponse to treatmentSoft tissue sarcomas

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Area of Science:

  • Radiology and Oncology
  • Medical Imaging
  • Soft Tissue Sarcoma Research

Background:

  • Conventional size-based criteria inadequately assess neoadjuvant therapy (NAT) response in soft tissue sarcomas (STS).
  • Accurate response assessment is crucial for tailoring NAT and improving patient outcomes in STS.

Purpose of the Study:

  • To systematically review the association between dynamic contrast-enhanced MRI (DCE-MRI) parameters and histopathology-based NAT response in STS.
  • To identify DCE-MRI parameters with consistent associations with treatment response across diverse clinical contexts.

Main Methods:

  • Systematic review following PRISMA guidelines.
  • Comprehensive literature search for studies evaluating NAT response in STS using DCE-MRI.
  • Inclusion of 13 studies with 234 patients.

Main Results:

  • Quantitative DCE-MRI parameters, especially Ktrans, demonstrated strong predictive performance and discriminatory ability for treatment response.
  • Related parameters (ΔKtrans, Kep, Ve) correlated significantly with histopathologic necrosis.
  • Semi-quantitative (iAUC60, wash-in rate) and qualitative (type II curves) markers showed consistent associations with tumor perfusion, hypoxia, and favorable outcomes.

Conclusions:

  • DCE-MRI, particularly quantitative pharmacokinetic parameters like Ktrans, shows significant promise for assessing NAT response in STS.
  • Parameter associations with histopathology-based response are generally concordant.
  • Need for standardized prospective validation due to heterogeneity and small cohort sizes.