Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation

Int J Comput Assist Radiol Surg. 2017 Sep;12(9):1543-1559. doi: 10.1007/s11548-016-1517-x. Epub 2017 Jan 17.


Purpose: We aim at developing a framework for the validation of a subject-specific multi-physics model of liver tumor radiofrequency ablation (RFA).

Methods: The RFA computation becomes subject specific after several levels of personalization: geometrical and biophysical (hemodynamics, heat transfer and an extended cellular necrosis model). We present a comprehensive experimental setup combining multimodal, pre- and postoperative anatomical and functional images, as well as the interventional monitoring of intra-operative signals: the temperature and delivered power.

Results: To exploit this dataset, an efficient processing pipeline is introduced, which copes with image noise, variable resolution and anisotropy. The validation study includes twelve ablations from five healthy pig livers: a mean point-to-mesh error between predicted and actual ablation extent of 5.3 ± 3.6 mm is achieved.

Conclusion: This enables an end-to-end preclinical validation framework that considers the available dataset.

Keywords: Computational modeling; Preclinical evaluation; Radiofrequency ablation.

Publication types

  • Validation Study

MeSH terms

  • Animals
  • Catheter Ablation / methods*
  • Hemodynamics
  • Liver / surgery*
  • Liver Neoplasms / surgery*
  • Models, Animal
  • Necrosis / surgery
  • Swine