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Objective:To build a systemic and automatic importing scheme for importing CT images and structures into the treatment planning systems (TPSs) of Eclipse and Monaco.Methods:Based on two TPSs of Eclipse and Monaco, the files of CT images and structures were automatically transported from OAR auto-delineation system to the importing directory of these two TPSs using batch script in Windows system. Following the standard importing procedures of these two TPSs, the automatically importing script of CT images and structures were developed using the application of UiBot. Finally, the CT images and structures were imported into these two TPSs opportunely.Results:By comparing the importing time using script and manual methods, the script not only achieved auto-importing CT images and structures into TPSs, but also yielded almost the same efficiency to manual method. The number of imaging layers in most patients was between 130 and 180, and the average manual and automatic importing time within this interval was 76 s and 75 s.Conclusions:Automatic scripts can be developed by using the automation function of UiBot combined with the actual problems of radiotherapy and repeated workflow. The efficiency of radiotherapy work can be significantly improved. Manual and time costs can be saved. It provides a novel alternative for the automation of radiotherapy procedures.
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Objective To compare the MdaccAutoPlan (MDAP)software with Manual planning in intensity modulated radiotherapy (IMRT) planning for nasopharyngeal carcinoma (NPC) patients.Methods A total of 20 newly diagnosed NPC patients were enrolled and their IMRT plans were designed with MDAP software and manually,respectively with identical field angle,optimization parameters and other planning requirements.Dosimetric differences and planning efficiency were compared for these two planning method.Results The PGTV Dgs％,PGTV D PTV1 Dgs％,PTV1 D PTV2 D98％,PTV2 D of plans generated from MDAP were reduced by 2.5％,0.3％,0.1％,0.5％,0.6％,1.0％,respectively,compared with those in plans generated manually.The D2％ of the PGTV,PTV1,PTV2 in MDAP plans were increased by 1.7％,1.5％,0.6％ compared with those in manual plans,respectively.There were significant differences observed in the PGTV D9s％,PGTV D2％ and PTV2 Dg8％ between these two planning method (t =5.519,6.701,0.937,P ＜ 0.05).The D50％ of right parotidand left parotid,the D and D of the spinal cord in MDAP plans were reduced significantly by 24.8％,27.7％,11.4％,14.0％,respectively,compared with those in manual plans (t =5.447,5.375,6.786,3.810,P ＜ 0.05).The dose of both lens increased significantly by 65.0％ and 19.3％,respectively,in MDAP plans compared with Manual plans (t =9.863,3.440,P ＜ 0.05).There was no significant dosimetric difference observed in opticnerve,opticchiasm and brainstem between these two planning method.The dose distribution of post neck in MDAP plans were better than those in manual plans.The dose-volume histogram curves of planning target volume,brainstem and spial cord in the manul plans were higher than those in the MDAP plans.The labor time of MDAP planning was reduced by 54.4％ compared with Manual planning,while computer working time was increased by 34.4％ with MDAP planning compared with Manual planning.Conclusions MDAP planning is clinically valualbe in its applicaion for a NPC IMRT planning with a better sparing for OARs,a decreased planning time and improvement on planning efficiency compared with manual planning.
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Objective To investigate the value of computed tomography (CT)-magnetic resonance imaging (MRI) image fusion in target volume delineation of postoperative precise radiotherapy for gliomas.Methods Thirty-six patients newly diagnosed with gliomas were enrolled and received postoperative intensity-modulated radiotherapy.Landmark (L) combined with manual fusion (M) and maximization of mutual information (MI) was used for image fusion.Target volume and organs at risk were delineated based on CT images and fused images,respectively.Comparison of the volume was made by pairwise t test.The distance from a landmark on CT image to the corresponding one on MRI image was calculated.The volume method and geometric center method were used to calculate the degree of volume overlap and changes in central positions after image fusion.Results The L+M+MI method achieved a high registration accuracy in image fusion,with a registration error less than 2 mm.In patients with grade Ⅲ-V gliomas,the CT images yielded significantly smaller gross tumor volume (GTV) and clinical target volume (CTV) than the MRI images (74.62±46.91 vs.105.99±58.86 cm3,P=O.042;304.03± 130.05 vs.387.94± 150.12 cm3,P=0.040).After image fusion,the smallest change in central position occurred in the chiasma (1.32± 1.42 mm),and the largest change occurred in CTV (7.99± 11.06 mm),followed by GTV and the brain stem.Conclusions CT-MRI image fusion helps to reduce the uncertainty of target volume delineation in patients with gliomas,especially in those with edema and residual tumor after surgery.