Paudel Nava Raj, Narayanasamy Ganesh, Han Eun Young, Penagaricano Jose, Mavroidis Panayiotis, Zhang Xin, Pyakuryal Anil, Kim Dongwook, Liang Xiaoying, Morrill Steven
Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Department of Radiation Oncology, UPMC Susquehanna, Williamsport, PA, USA.
J Appl Clin Med Phys. 2017 Sep;18(5):237-244. doi: 10.1002/acm2.12145. Epub 2017 Aug 3.
The gamma analysis used for quality assurance of a complex radiotherapy plan examines the dosimetric equivalence between planned and measured dose distributions within some tolerance. This study explores whether the dosimetric difference is correlated with any radiobiological difference between delivered and planned dose.
VMAT or IMRT plans optimized for 14 cancer patients were calculated and delivered to a QA device. Measured dose was compared against planned dose using 2-D gamma analysis. Dose volume histograms (for various patient structures) obtained by interpolating measured data were compared against the planned ones using a 3-D gamma analysis. Dose volume histograms were used in the Poisson model to calculate tumor control probability for the treatment targets and in the Sigmoid dose-response model to calculate normal tissue complication probability for the organs at risk.
Differences in measured and planned dosimetric data for the patient plans passing at ≥94.9% rate at 3%/3 mm criteria are not statistically significant. Average ± standard deviation tumor control probabilities based on measured and planned data are 65.8±4.0% and 67.8±4.1% for head and neck, and 71.9±2.7% and 73.3±3.1% for lung plans, respectively. The differences in tumor control probabilities obtained from measured and planned dose are statistically insignificant. However, the differences in normal tissue complication probabilities for larynx, lungs-GTV, heart, and cord are statistically significant for the patient plans meeting ≥94.9% passing criterion at 3%/3 mm.
A ≥90% gamma passing criterion at 3%/3 mm cannot assure the radiobiological equivalence between planned and delivered dose. These results agree with the published literature demonstrating the inadequacy of the criterion for dosimetric QA and suggest for a tighter tolerance.
用于复杂放射治疗计划质量保证的伽马分析,是在一定容差范围内检查计划剂量分布与测量剂量分布之间的剂量学等效性。本研究探讨剂量学差异是否与实际给予剂量和计划剂量之间的任何放射生物学差异相关。
为14例癌症患者优化的容积调强放疗(VMAT)或调强放疗(IMRT)计划被计算出来并应用于质量保证设备。使用二维伽马分析将测量剂量与计划剂量进行比较。通过对测量数据进行插值获得的(针对各种患者结构的)剂量体积直方图,使用三维伽马分析与计划的剂量体积直方图进行比较。剂量体积直方图被用于泊松模型中计算治疗靶区的肿瘤控制概率,并用于S形剂量反应模型中计算危及器官的正常组织并发症概率。
在3%/3mm标准下通过率≥94.9%的患者计划中,测量剂量学数据与计划剂量学数据之间的差异无统计学意义。基于测量数据和计划数据的头颈部平均±标准差肿瘤控制概率分别为65.8±4.0%和67.8±4.1%,肺部计划分别为71.9±2.7%和73.3±3.1%。从测量剂量和计划剂量获得的肿瘤控制概率差异无统计学意义。然而,对于在3%/3mm标准下通过率≥94.9%的患者计划,喉部、肺部大体肿瘤体积(GTV)、心脏和脊髓的正常组织并发症概率差异具有统计学意义。
在3%/3mm标准下≥90%的伽马通过率不能确保计划剂量与实际给予剂量之间的放射生物学等效性。这些结果与已发表的文献一致,表明该剂量学质量保证标准存在不足,并建议采用更严格的容差。