Radiofrequency ablation of liver tumors: quantitative assessment of tumor coverage through CT image processing
1 Istituto di Ricerche Farmacologiche “Mario Negri” – IRCCS, Bergamo, Italy
2 Dipartimento di Bioingegneria, Politecnico di Milano, Milan, Italy
3 Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
BMC Medical Imaging 2013, 13:3 doi:10.1186/1471-2342-13-3Published: 16 January 2013
Radiofrequency ablation (RFA) is one of the most promising non-surgical treatments for hepatic tumors. The assessment of the therapeutic efficacy of RFA is usually obtained by visual comparison of pre- and post-treatment CT images, but no numerical quantification is performed.
In this work, a novel method aiming at providing a more objective tool for the evaluation of RFA coverage is described. Image registration and segmentation techniques were applied to enable the visualization of the tumor and the corresponding post-RFA necrosis in the same framework. In addition, a set of numerical indexes describing tumor/necrosis overlap and their mutual position were computed.
After validation of segmentation step, the method was applied on a dataset composed by 10 tumors, suspected not to be completed treated. Numerical indexes showed that only two tumors were totally treated and the percentage of a residual tumor was in the range of 5.12%-35.92%.
This work represents a first attempt to obtain a quantitative tool aimed to assess the accuracy of RFA treatment. The possibility to visualize the tumor and the correspondent post-RFA necrosis in the same framework and the definition of some synthetic numerical indexes could help clinicians in ameliorating RFA treatment.