Application of Generalized Equivalent Uniform Dose Biological Optimization Method in Intensity-Modulated Planning of Esophageal Cancer
Objective To explore the application of generalized equivalent uniform dose biological optimization method in intensity-modulated planning of esophageal cancer.Methods Eight patients with esophageal cancer were selected from the Affiliated Hospital of Chengde Medical University.Each patient used three methods for calculation:single objective physical optimization(planA),multi-objective physical optimization(PlanB)and generalized equivalent uniform dose biological optimization(PlanC)for heart and lung.The constraints of spinal cord and its external radiation remained unchanged,and the advantages and disadvantages of the three groups were compared.Results When there were no significant changes in the target area,spinal cord and spinal cord external expansion dose,most of the mean values of the plan designed by the generalized equivalent uniform dose biological optimization method decreased in the lung and heart.The comparison between PlanA and PlanC showed that V5,V10,V20,V30 and dmean of the lung,there were significant differences in V5,V10,V20 and dmean(P<0.05).The comparison between PlanB and PlanC showed that V5,V10,V20,V30,V40 and dmean of lung were statistically significant(P<0.05),while V5,V20 and dmean of heart were statistically significant(P<0.05).In the display of dose volume histograms(DVH),when there is no significant change in the planning target volume(PTV)curve and there is no significant change in the spinal cord and spinal cord expansion,the curves of lung and heart move to the left in varying degrees.The normal tissue complication probability(NTCP)of lung decreased and was statistically significant(P<0.05).Conclusion The radiation dose of lung and heart can be reduced by using the generalized equivalent uniform dose biological optimization method.Generalized equivalent dose biological optimization method is better than multi-objective optimization method and single objective optimization method,and can better protect endangered organs.
万方数据
维普
