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.

Insights

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.

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.

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