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Comparison of oncentra ® Brachy IPSA and graphical optimisation techniques: A case study of HDR brachytherapy head and neck and prostate plans

机译:oncentra®近距离IPSA与图形优化技术的比较:以HDR近距离治疗头颈部和前列腺计划为例

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摘要

There are a number of different dwell positions and time optimisation options available in the Oncentra® Brachy (Elekta Brachytherapy Solutions, Veenendaal, The Netherlands) brachytherapy treatment planning system. The purpose of this case study was to compare graphical (GRO) and inverse planning by simulated annealing (IPSA) optimisation techniques for interstitial head and neck (HN) and prostate plans considering dosimetry, modelled radiobiology outcome and planning time. Four retrospective brachytherapy patients were chosen for this study, two recurrent HN and two prostatic boosts. Manual GRO and IPSA plans were generated for each patient. Plans were compared using dose-volume histograms (DVH) and dose coverage metrics including; conformity index (CI), homogeneity index (HI) and conformity number (CN). Logit and relative seriality models were used to calculate tumour control probability (TCP) and normal tissue complication probability (NTCP). Approximate planning time was also recorded. There was no significant difference between GRO and IPSA in terms of dose metrics with mean CI of 1.30 and 1.57 (P \u3e 0.05) respectively. IPSA achieved an average HN TCP of 0.32 versus 0.12 for GRO while for prostate there was no significant difference. Mean GRO planning times were greater than 75 min while average IPSA planning times were less than 10 min. Planning times for IPSA were greatly reduced compared to GRO and plans were dosimetrically similar. For this reason, IPSA makes for a useful planning tool in HN and prostate brachytherapy.
机译:在Afterntra®Brachy(Elekta Brachytherapy Solutions,荷兰Veenendaal,荷兰)近距离治疗计划系统中,有许多不同的停留位置和时间优化选项。本案例研究的目的是通过考虑剂量,模拟放射生物学结果和计划时间的间质性头颈(HN)和前列腺计划,通过模拟退火(IPSA)优化技术比较图形(GRO)和反向计划。本研究选择了四名回顾性近距离放射治疗患者,两名复发性HN和两名前列腺增强患者。为每个患者生成了手动GRO和IPSA计划。使用剂量-体积直方图(DVH)和剂量覆盖率指标比较了计划,包括:合格指数(CI),均匀指数(HI)和合格编号(CN)。 Logit模型和相对序列模型用于计算肿瘤控制概率(TCP)和正常组织并发症概率(NTCP)。还记录了大概的计划时间。在剂量指标方面,GRO和IPSA之间无显着差异,平均CI分别为1.30和1.57(P <0.05)。 IPSA的平均HN TCP为0.32,而GRO为0.12,而前列腺则没有显着差异。平均GRO计划时间大于75分钟,而IPSA的平均计划时间小于10分钟。与GRO相比,IPSA的计划时间大大减少,并且计划在剂量上相似。因此,IPSA成为HN和前列腺癌近距离治疗的有用规划工具。

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