| QIU Jian-jian,ZHAO Jun,PENG Jia-yuan,LU Sai-quan,XU Zhi-yong.The research of a new automatic inverse optimal solution based on VMAT model[J].Chinese Journal of Radiological Medicine and Protection,2013,33(5):497-500 |
| The research of a new automatic inverse optimal solution based on VMAT model |
| Received:March 28, 2013 |
| DOI：10.3760/cma.j.issn.0254-5098.2013.05.010 |
| KeyWords:Intensity-modulated radiation therapy Volumetric modulated Arc therapy Optimization Adaptive optimization program |
| FundProject: |
| Author Name | Affiliation | E-mail | | QIU Jian-jian | Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China | | | ZHAO Jun | Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China | | | PENG Jia-yuan | Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China | | | LU Sai-quan | Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China | | | XU Zhi-yong | Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China | xzyong12@vip.sina.com |
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| Abstract:: |
| Objective To investigate a new automatic inverse optimal solution based on VMAT optimization model and verify its result. Methods A variant of the new automatic inverse optimal solution was proposed in this study, which provided a solution to calculate treatment plan with the minimized number of beams and the minimized levels of their intensities on the basis of VMAT optimization model by customized software tools. The verifications were evaluated on the simulated head-neck phantom by dosimetric parameters. Results Compared with conventional IMRT/VMAT treatment plans, the adaptive optimization program(AOP) plan showed that plan20/40 (20 fields with totally 40 sub-fields, m=2) made the best achievement and it was clinicable. Conclusions The proposed new optimization technique provides an effective way to reach an inverse treatment plan with the best compromise and less sub-fields compared with IMRT/VMAT plans. |
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