Research on the 3D Dose Prediction Based on Deep Learning for Rectal Cancer Volumetric Modulated Arc Therapy
Objective To propose a 3DRes-UNet deep learning network for predicting the 3D dose accuracy of postoperative volume modulated arc therapy(VMAT)for rectal cancer surgery,so as to guide clinical practice.Methods A total of 168 VMAT radiotherapy plans for rectal cancer was collected.The data set was randomly divided into a training set of 120 cases,a validation set of 16 cases,and a test set of 32 cases in a 7∶1∶2 ratio.The CT images of the training set and masks of organs and target volume were input into the network for training.The predicted dose was compared with clinically approved radiotherapy doses on the test set to evaluate the accuracy of radiotherapy dose prediction.Results There was no statistically significant difference in D2,D98,D50,and homogeneity index between the clinical dose and predicted values in the target volume(P＞0.05).There was a statistical difference in the conformity index(P＜0.05).The predicted doses of V50 and Dmean for organ threatening bladder were lower than clinical doses(P＜0.05),and there was no statistically significant difference in V40(P＞0.05).The predicted dose of V40 in the left femoral head was lower than the clinical dose(P＜0.05),and there was no statistically significant difference in V30,V50,and Dmean(P＞0.05).The predicted dose of Dmean in the right femoral head was lower than the clinical dose(P＜0.05),and there was no statistically significant difference in V30,V40,and V50(P＞0.05).The predicted doses of pelvic V45 and Dmean were also lower than clinical doses(P＜0.05).There was no statistically significant difference in V30,V40,Dmean,and D0.1cc in the small bowel(P＞0.05).The dose difference map showed that there was little difference between the predicted results of the target area and the clinical results,and the difference in organ endangerment was between-10-10 Gy.The predicted dose volume histogram basically coincided with the clinical dose volume histogram.Conclusion The 3DRes-UNet model can effectively predict the 3D space dose of postoperative VMAT radiotherapy plan for rectal cancer,and guide clinical radiotherapy work.
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