基于混合准则的IMRT计划优化

doi:10.3969/j.issn.0258-8021.2016.06.011

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Abstract In optimization methods of conformal intensity modulated radiation therapy, the performance of biological optimization based on generalized equivalent uniform dose (gEUD) still requires improvement to control the target dose coverage precisely, while physical optimization based on dose volume does not reflect the nonlinear response of tissue to dose. Hence, a hybrid criteria optimization method integrating the biological criteria (generalized equivalent uniform dose: gEUD) and physical criteria (minimum dose, mean dose) was proposed in this paper. The new algorithm,taking full advantages of these two kinds of criteria, gave consideration to both the dose coverage of the target area and the protection of the organ.Its feasibility was tested on ten prostate cases through evaluation and comparison from the perspective of dosimetry and biology. Compared with physical criteria optimization, the hybrid criteria optimization reduced dose to the organs at risk on the premise that dose coverage characteristics of target were similar, and at the significance level of 0.05, the mean dose for rectum, V₅₀ and V₆₀ of rectum, the mean dose for bladder, V₆₅,V₇₀,V₇₅,NTCP and gEUD of bladder were significantly different (P<0.05). Moreover, compared with gEUD based biological optimization, on the one hand the target dose coverage characteristics have been greatly improved with dose statistics, and the biological indicators were significantly different (P<0.05); on the other hand, organs at risk got better protection with significant difference (P<0.05) in rectal average dose, V₅₀, V₆₀, V₇₅, NTCP and gEUD as well as in bladder V₇₅ and gEUD. In conclusion, gEUD-based hybrid criteria optimization could reduce the dose to OAR that may be helpful to further improve the dose coverage of PTV and to increase the gain ratio of radio therapy while guarantying the dose to PTV.

Key words： gEUD DV constraint physical optimization biological optimization hybrid criteria optimization

Received: 20 January 2016

PACS:

TP391.9

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	Guo Caiping Shu Huazhong Gui Zhiguo Zhang Liyuan

Cite this article:

Guo Caiping Shu Huazhong Gui Zhiguo Zhang Liyuan. IMRT Plan Optimization Based on Hybrid Criteria[J]. Chinese Journal of Biomedical Engineering, 2016, 35(6): 712-718.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2016.06.011 OR http://cjbme.csbme.org/EN/Y2016/V35/I6/712

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