Three-dimensional echo decorrelation imaging of percutaneous microwave ablation in liver tumors

2021 ◽  
Vol 150 (4) ◽  
pp. A32-A32
Author(s):  
Elmira Ghahramani Z. ◽  
Peter D. Grimm ◽  
Bahar Saremi ◽  
Kyuran A. Choe ◽  
Seetharam Chadalavada ◽  
...  
Keyword(s):  
Microwave Ablation ◽  
Liver Tumors ◽  
Three Dimensional ◽  
Percutaneous Microwave Ablation

scholarly journals 3D Quantitative Ablation Margins for Prediction of Ablation Site Recurrence After Stereotactic Image-Guided Microwave Ablation of Colorectal Liver Metastases: A Multicenter Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Simeon J. S. Ruiter ◽  
Pascale Tinguely ◽  
Iwan Paolucci ◽  
Jennie Engstrand ◽  
Daniel Candinas ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Multicenter Study ◽  
Microwave Ablation ◽  
Colorectal Liver Metastases ◽  
Liver Tumors ◽  
Three Dimensional ◽  
Multivariable Logistic Regression Analysis ◽  
Tumor Diameter ◽  
Ablation Margin ◽  
The Impact

BackgroundThree-dimensional (3D) volumetric ablation margin assessment after thermal ablation of liver tumors using software has been described, but its predictive value on treatment efficacy when accounting for other factors known to correlate ablation site recurrence (ASR) remains unknown.PurposeTo investigate 3D quantitative ablation margins (3D-QAMs) as an algorithm to predict ASR within 1 year after stereotactic microwave ablation (SMWA) for colorectal liver metastases (CRLM).Materials and MethodsSixty-five tumors in 47 patients from a prospective multicenter study of patients undergoing SMWA for CRLM were included in this retrospective 3D-QAM analysis. Using a previously developed algorithm, 3D-QAM defined as the distribution of tumor to ablation surface distances was assessed in co-registered pre- and post-ablation CT scans. The discriminatory power and optimal cutoff values for 3D-QAM were assessed using receiver operating characteristic (ROC) curves. Multivariable logistic regression analysis using generalized estimating equations was applied to investigate the impact of various 3D-QAM outputs on 1-year ASR while accounting for other known influencing factors.ResultsTen of the 65 (15.4%) tumors included for 3D-QAM analysis developed ASR. ROC analyses identified i) 3D-QAM <1 mm for >23% of the tumor surface, ii) 3D-QAM <5 mm for >45%, and iii) the minimal ablation margin (MAM) as the 3D-QAM outputs with optimal discriminatory qualities. The multivariable regression model without 3D-QAM yielded tumor diameter and KRAS mutation as 1-year ASR predictors. When adding 3D-QAM, this factor became the main predictor of 1-year ASR [odds ratio (OR) 21.67 (CI 2.48, 165.21) if defined as >23% <1 mm; OR 0.52 (CI 0.29, 0.95) if defined as MAM].Conclusions3D-QAM allows objectifiable and standardized assessment of tumor coverage by the ablation zone after SMWA. Our data shows that 3D-QAM represents the most important factor predicting ASR within 1 year after SMWA of CRLM.

scholarly journals Percutaneous microwave ablation applications for liver tumors: recommendations for COVID-19 patients

Heliyon ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. e06454
Author(s):  
Pooya Afaghi ◽  
Michael Anthony Lapolla ◽  
Khashayar Ghandi
Keyword(s):  
Microwave Ablation ◽  
Liver Tumors ◽  
Percutaneous Microwave Ablation
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