Cryosurgery has demonstrated significant capabilities as a minimally invasive technique for treating cancer and other conditions [1], but has been limited by the ability to accurately predict treatment outcome and damage to surrounding tissues. Contributing to this problem has been the accuracy of predictive modeling and translating this to effective pretreatment planning. The two key factors in accurately modeling cryosurgical freezing are the temperature-dependent thermal properties of the freezing medium and cryoprobe boundary conditions. Both of these issues are considered in this study.

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