Three-Dimensional Margin Assessment Predicts Local Tumor Progression after Stereotactic Microwave Ablation of Small

Michael P Brönnimann1, Philippe Lauber2, Matthew L Hung3

  • 1Department of Diagnostic, Interventional and Pediatric Radiology, Bern, Switzerland; Division of Interventional Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, California.

Abstract

Insights

A wider minimal ablation margin (MAM) significantly reduces local tumor progression (LTP) after microwave ablation (MWA) for small hepatocellular carcinoma (HCC). Three-dimensional margin assessment aids in predicting and optimizing treatment outcomes for HCC.

Area of Science:

  • Hepatobiliary Surgery
  • Interventional Radiology
  • Oncology

Background:

  • Stereotactic microwave ablation (MWA) is a treatment for small hepatocellular carcinoma (HCC).
  • Assessing the ablation margin is crucial for predicting local tumor progression (LTP).
  • Three-dimensional quantitative ablation margin assessment (3D-QAM) offers precise margin evaluation.

Purpose of the Study:

  • To evaluate the impact of the minimal ablation margin (MAM) on local tumor progression (LTP).
  • To assess the efficacy of stereotactic MWA for small HCC using 3D-QAM.
  • To determine the predictive value of MAM for treatment outcomes.

Main Methods:

  • Retrospective analysis of 175 HCC lesions in 115 patients treated with stereotactic MWA.
  • Minimal ablation margin (MAM) assessed using 3D-QAM.
  • Multivariable logistic regression and ROC analysis to evaluate associations with LTP and model performance.

Main Results:

  • Local tumor progression (LTP) occurred in 20.6% of lesions.
  • Smaller MAMs were significantly associated with higher LTP rates (2.9 mm vs. 4.7 mm).
  • MAM was an independent protective factor (OR 0.68 per mm increase); right-sided location increased risk (OR 2.75).

Conclusions:

  • The minimal ablation margin (MAM) is a critical factor in preventing local tumor progression (LTP) after stereotactic MWA for HCC.
  • Margin-based risk prediction using 3D-QAM is robust and clinically applicable.
  • Optimizing MAM through precise assessment can improve local tumor control in HCC treatment.

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