| Jia Qiyuan,Guo Futong,Wu Aiqian,Qi Mengke,Mai Yanhua,Kong Fantu,Zhou Linghong,Song Ting.OAR predicted dose distribution and gEUD based treatment planning optimization for IMRT[J].Chinese Journal of Radiological Medicine and Protection,2019,39(6):422-427 |
| OAR predicted dose distribution and gEUD based treatment planning optimization for IMRT |
| Received:January 25, 2019 |
| DOI：10.3760/cma.j.issn.0254-5098.2019.06.004 |
| KeyWords:3D dose distribution prediction Prediction guided treatment planning optimization Equivalent uniform dose Intensity modulated radiation therapy |
| FundProject:国家重点研发计划项目（2017YFC0113203）；国家自然科学基金（81601577，81571771） |
| Author Name | Affiliation | E-mail | | Jia Qiyuan | Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China | | | Guo Futong | Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China | | | Wu Aiqian | Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China | | | Qi Mengke | Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China | | | Mai Yanhua | Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China | | | Kong Fantu | Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China | | | Zhou Linghong | Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China | smart@smu.edu.cn | | Song Ting | Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China | |
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| Abstract:: |
| Objective To propose a treatment planning optimization algorithm which can make full use of OAR dose distribution prediction meanwhile improving the output planning quality as much as possible. Methods We had reformulated an FMO function under the guidance of dose distribution prediction and also integrated equivalent uniform dose (gEUD) based on the consideration of prediction uncertainty, for providing optimal solution. Performance of the method was evaluated by comparing the optimized IMRT plan quality of 8 cervical cancers in the term of DVH curves, dose distribution and dosimetric endpoints with the original ones. Results The proposed method had a feasible, fast solution. Compared with original plan, its output plan had better plan quality in better dose homogeneity, less hot spot and further dose sparing for OARs. V30, V45 of rectum was decreased by (6.60±3.53)% and (17.03±7.44)%, respectively, with the statistically significant difference (t=-4.954,-6.055, P<0.05). V30, V45 of bladder was decreased by (14.74±5.61)% and (14.99±4.53)%, respectively, with the statistically significant difference (t=-6.945,-8.759, P<0.05). Conclusions We have successfully developed a predicted dose distribution and equivalent uniform dose-based planning optimization method, which is able to make good use of 3D dose prediction and ensure the output plan quality for intensity modulated radiation therapy. |
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