Oinam Arun S, Singh Lakhwant, Shukla Arvind, Ghoshal Sushmita, Kapoor Rakesh, Sharma Suresh C
Department of Radiotherapy, PGIMER, Chandigarh, India.
J Med Phys. 2011 Oct;36(4):220-9. doi: 10.4103/0971-6203.89971.
The purpose of this study is to compare Lyman-Kutcher-Burman (LKB) model versus Niemierko model for normal tissue complication probability (NTCP) calculation and Niemierko model versus Poisson-based model for tumor control probability (TCP) calculation in the ranking of different treatment plans for a patient undergoing radiotherapy. The standard normal tissue tolerance data were used to test the NTCP models. LKB model can reproduce the same complication probability data of normal tissue response on radiation, whereas Niemierko model cannot reproduce the same complication probability. Both Poisson-based and Niemierko models equally reproduce the same standard TCP data in testing of TCP. In case of clinical data generated from treatment planning system, NTCP calculated using LKB model was found to be different from that calculated using Niemierko model. When the fractionation effect was considered in LKB model, the calculated values of NTCPs were different but comparable with those of Niemierko model. In case of TCP calculation using these models, Poisson-based model calculated marginally higher control probability as compared to Niemierko model.
本研究的目的是在为一名接受放射治疗的患者制定不同治疗方案的排名中，比较用于正常组织并发症概率（NTCP）计算的莱曼-库彻-伯曼（LKB）模型与涅米尔科模型，以及用于肿瘤控制概率（TCP）计算的涅米尔科模型与基于泊松分布的模型。使用标准的正常组织耐受数据来测试NTCP模型。LKB模型能够重现正常组织对辐射反应的相同并发症概率数据，而涅米尔科模型则不能重现相同的并发症概率。在TCP测试中，基于泊松分布的模型和涅米尔科模型同样能重现相同的标准TCP数据。对于从治疗计划系统生成的临床数据，发现使用LKB模型计算的NTCP与使用涅米尔科模型计算的不同。当在LKB模型中考虑分割效应时，NTCP的计算值不同，但与涅米尔科模型的计算值具有可比性。在使用这些模型进行TCP计算时，基于泊松分布的模型计算出的控制概率略高于涅米尔科模型。
