Bazani Alessia, Brunner Jacob, Russo Stefania, Carlino Antonio, Simon Colomar Daniel, Ikegami Andersson Walter, Ciocca Mario, Stock Markus, Fossati Piero, Orlandi Ester, Glimelius Lars, Molinelli Silvia, Knäusl Barbara
Clinical Department, CNAO National Center for Oncological Hadrontherapy, Pavia, Italy.
Department of Radiation Oncology, Medical University of Vienna, Austria.
Phys Imaging Radiat Oncol. 2024 Feb 15;29:100553. doi: 10.1016/j.phro.2024.100553. eCollection 2024 Jan.
Nuclear interaction correction (NIC) and trichrome fragment spectra modelling improve relative biological effectiveness-weighted dose (D) and dose-averaged linear energy transfer (LET) calculation for carbon ions. The effect of those novel approaches on the clinical dose and LET distributions was investigated.
The effect of the NIC and trichrome algorithm was assessed, creating single beam plans for a virtual water phantom with standard settings and NIC + trichrome corrections. Reference D and LET distributions were simulated using FLUKA version 2021.2.9. Thirty clinically applied scanned carbon ion treatment plans were recalculated applying NIC, trichrome and NIC + trichrome corrections, using the LEM low dose approximation and compared to clinical plans (). Four treatment sites were analysed: six prostate adenocarcinoma, ten head and neck, nine locally advanced pancreatic adenocarcinoma and five sacral chordoma. The FLUKA and clinical plans were compared in terms of D deviations for D, D, D for the clinical target volume (CTV) and D in ring-like dose regions retrieved from isodose curves in plans. Additionally, region-based median LET deviations and global gamma parameters were evaluated.
Dose deviations comparing and evaluation plans were within ± 1% supported by γ-pass rates over 97% for all cases. No significant LET deviations were reported in the CTV, but significant median LET deviations were up to 80% for very low dose regions.
Our results showed improved accuracy of the predicted D and LET. Considering clinically relevant constraints, no significant modifications of clinical protocols are expected with the introduction of NIC + trichrome.
核相互作用校正(NIC)和三色碎片光谱建模可改善碳离子的相对生物效应加权剂量(D)和剂量平均线能量转移(LET)计算。研究了这些新方法对临床剂量和LET分布的影响。
评估了NIC和三色算法的效果,使用标准设置以及NIC + 三色校正为虚拟水模体创建单束计划。使用FLUKA 2021.2.9版本模拟参考D和LET分布。应用NIC、三色和NIC + 三色校正,使用LEM低剂量近似法重新计算了30个临床应用的扫描碳离子治疗计划,并与临床计划进行比较()。分析了四个治疗部位:六例前列腺腺癌、十例头颈部肿瘤、九例局部晚期胰腺腺癌和五例骶骨脊索瘤。根据临床靶体积(CTV)的D、D、D的D偏差以及从计划中的等剂量曲线获取的环状剂量区域中的D,比较了FLUKA计划和临床计划。此外,还评估了基于区域的中位LET偏差和全局伽马参数。
比较和评估计划的剂量偏差在±1%以内,所有病例的γ通过率超过97%。在CTV中未报告显著的LET偏差,但在极低剂量区域,显著的中位LET偏差高达80%。
我们的结果表明预测的D和LET的准确性有所提高。考虑到临床相关限制,引入NIC + 三色法预计不会对临床方案进行重大修改。