Temperature　predictions　of　microwave　ablation　(MWA)　are　currently　restricted　by　the　specific　temperature-dependent　data　of　tissue　characteristic　parameters.　To　address　this　issue,　a　new　parameter　feedback　method　based　on　temperature　simulations　and　single-thermometry　measurements　was　presented.　Experimental　data　of　2450-MHz　microwave　antenna　was　obtained　from　ex　vivo　porcine　livers.　A　temperature　distribution　model　was　constructed,　and　the　contributions　of　characteristic　parameters　were　acquired　by　the　sensitivity　analysis　method.　Subsequently,　parameter　feedbacks　were　conducted　based　on　a　minimization　of　the　errors　between　numerical　data　and　single-thermometry　measurements.　The　temperature　distribution　model　was　then　optimized　using　the　feedback　parameters.　Finally,　temperature　measurements　were　compared　with　simulation　data　to　validate　the　accuracy　of　the　model.　According　to　the　temperature　distribution　model　with　parameter　feedback,　the　averages　of　maximum　error,　average　error,　as　well　as　SD　between　the　simulation　temperatures　and　the　measurements　were　2.952,　1.323,　and　0.852　degrees　C,　respectively.　The　simulated　and　measured　temperature　changes　were　generally　in　good　agreement.　The　proposed　method　can　be　useful　in　MWA　temperature　simulations　to　improve　temperature　prediction　accuracy.