Hashikin Nurul Ab Aziz, Yeong Chai-Hong, Guatelli Susanna, Abdullah Basri Johan Jeet, Ng Kwan-Hoong, Malaroda Alessandra, Rosenfeld Anatoly, Perkins Alan Christopher
Department of Biomedical Imaging, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia. University of Malaya Research Imaging Centre, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Phys Med Biol. 2017 Aug 22;62(18):7342-7356. doi: 10.1088/1361-6560/aa7e5b.
We aimed to investigate the validity of the partition model (PM) in estimating the absorbed doses to liver tumour ([Formula: see text]), normal liver tissue ([Formula: see text]) and lungs ([Formula: see text]), when cross-fire irradiations between these compartments are being considered. MIRD-5 phantom incorporated with various treatment parameters, i.e. tumour involvement (TI), tumour-to-normal liver uptake ratio (T/N) and lung shunting (LS), were simulated using the Geant4 Monte Carlo (MC) toolkit. 10 track histories were generated for each combination of the three parameters to obtain the absorbed dose per activity uptake in each compartment ([Formula: see text], [Formula: see text], and [Formula: see text]). The administered activities, A were estimated using PM, so as to achieve either limiting doses to normal liver, [Formula: see text] or lungs, [Formula: see text] (70 or 30 Gy, respectively). Using these administered activities, the activity uptake in each compartment ([Formula: see text], [Formula: see text], and [Formula: see text]) was estimated and multiplied with the absorbed dose per activity uptake attained using the MC simulations, to obtain the actual dose received by each compartment. PM overestimated [Formula: see text] by 11.7% in all cases, due to the escaped particles from the lungs. [Formula: see text] and [Formula: see text] by MC were largely affected by T/N, which were not considered by PM due to cross-fire exclusion at the tumour-normal liver boundary. These have resulted in the overestimation of [Formula: see text] by up to 8% and underestimation of [Formula: see text] by as high as -78%, by PM. When [Formula: see text] was estimated via PM, the MC simulations showed significantly higher [Formula: see text] for cases with higher T/N, and LS ⩽ 10%. All [Formula: see text] and [Formula: see text] by MC were overestimated by PM, thus [Formula: see text] were never exceeded. PM leads to inaccurate dose estimations due to the exclusion of cross-fire irradiation, i.e. between the tumour and normal liver tissue. Caution should be taken for cases with higher TI and T/N, and lower LS, as they contribute to major underestimation of [Formula: see text]. For [Formula: see text], a different correction factor for dose calculation may be used for improved accuracy.
我们旨在研究在考虑这些组织间的交叉照射时,分区模型(PM)在估算肝肿瘤([公式:见正文])、正常肝组织([公式:见正文])和肺([公式:见正文])吸收剂量方面的有效性。使用Geant4蒙特卡罗(MC)工具包模拟了包含各种治疗参数的MIRD - 5体模,即肿瘤累及情况(TI)、肿瘤与正常肝摄取比(T/N)和肺分流(LS)。针对这三个参数的每种组合生成10条径迹历史,以获得每个组织中每单位活度摄取的吸收剂量([公式:见正文]、[公式:见正文]和[公式:见正文])。使用PM估算给药活度A,以便达到对正常肝的限量剂量[公式:见正文]或对肺的限量剂量[公式:见正文](分别为70或30 Gy)。利用这些给药活度,估算每个组织中的活度摄取([公式:见正文]、[公式:见正文]和[公式:见正文]),并将其与通过MC模拟获得的每单位活度摄取的吸收剂量相乘,以得到每个组织实际接受的剂量。由于从肺逃逸的粒子,PM在所有情况下均高估[公式:见正文]11.7%。MC得到的[公式:见正文]和[公式:见正文]受T/N的影响很大,而PM由于在肿瘤 -正常肝边界处排除交叉照射而未考虑T/N。这导致PM高估[公式:见正文]高达8%,低估[公式:见正文]高达 - 78%。当通过PM估算[公式:见正文]时,MC模拟显示对于T/N较高且LS⩽10%的情况[公式:见正文]显著更高。MC得到的所有[公式:见正文]和[公式:见正文]均被PM高估,因此[公式:见正文]从未超过。由于排除了交叉照射,即肿瘤与正常肝组织之间的交叉照射,PM导致剂量估算不准确。对于TI和T/N较高且LS较低的情况应谨慎,因为它们会导致对[公式:见正文]的严重低估。对于[公式:见正文],可使用不同的剂量计算校正因子以提高准确性。