This ClinicIMPPACT proposal builds upon the success of the IMPPACT project (Grant No. 223877, completed in February 2012), which created a model for facilitating more accurate RFA treatment. This preliminary RFA model was tested in swine, with extensive histological workup, and in a clinical simulation study based on patient data, both of which reported relatively high correlations between estimated and actual tumor volumes. The mapping software for liver cancer RFA was developed through this project and provides a simulator for radiologists to plan, review and optimize procedures. Within IMPPACT, extensive experiments were performed on pigs and cells to develop a micro-scale cellular death model, which we used for calibrating the software. After porcine liver calibration, eight patient lesions were selected from a database of clinical procedures, and the planning software was used retrospectively to simulate interventions and predict lesion shapes. Predicted volumes were then compared against real thermal lesions, visualized and segmented in contrast-enhanced CT one month after ablation. These comparisons showed simulated and real lesion volumes to be acceptably matched after taking virtual tissue perfusion values into account. Some lesion shapes were mismatched, possibly due to inaccuracies in segmenting radiological images.