Model-based hepatic percutaneous microwaveablation planning. First validation on a clinical dataset
Abstract
A model-based planning tool, integrated in an imaging system, is envisioned for CT-guided percutaneous microwave ablation. This study aims to evaluate the biophysical model performance, by comparing its prediction retrospectively with the actualablation ground truth from a clinical data set in liver. The biophysical model uses a simplified formulation of heat depositionon the applicator and a heat sink related to vasculature to solve the bioheat equation. A performance metric is defined toassess how the planned ablation overlaps the actual ground truth. Results demonstrate superiority of this model predictioncompared to manufacturer tabulated data and a significant influence of the vasculature cooling effect. Nevertheless, vasculatureshortage due to branches occlusion and applicator misalignment due to registration error between scans affects the thermalprediction. With a more accurate vasculature segmentation, occlusion risk can be estimated, whereas branches can be usedas liver landmarks to improve the registration accuracy. Overall, this study emphasizes the benefit of a model-based thermalablation solution in better planning the ablation procedures. Contrast and registration protocols must be adapted to facilitate itsintegration into the clinical workflow.
Authors 7
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Bruno Frackowiak corresponding
Affiliation as printed
Philips (Netherlands)
Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
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Universitätsklinikum Aachen · RWTH Aachen University
Affiliation as printed
RWTH Aachen University
Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, 52074, Germany
Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
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Affiliation as printed
Philips (Netherlands)
Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
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Affiliation as printed
Philips (Netherlands)
Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
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Martijn de Greef Aachen
Philips (Netherlands) · RWTH Aachen University
Affiliation as printed
Philips (Netherlands)
Aaldert Elevelt Philips (Netherlands)
Philips (Netherlands) Martijn de Greef Philips (Netherlands)
RWTH Aachen University
RWTH Aachen University Zoi Tokoutsi Philips (Netherlands
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Affiliation as printed
Philips (Netherlands)
Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
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Universitätsklinikum Aachen · RWTH Aachen University
Affiliation as printed
RWTH Aachen University
Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, 52074, Germany
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