Mahadevan Anand, Emami Bahman, Grimm Jimm, Kleinberg Lawrence R, Redmond Kristin J, Welsh James S, Rostock Robert, Kemmerer Eric, Forster Kenneth M, Stanford Jason, Shah Sunjay, Asbell Sucha O, LaCouture Tamara A, Scofield Carla, Butterwick Ian, Xue Jinyu, Muacevic Alexander, Adler John R
Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States.
Department of Radiation Oncology, Loyola University Medical Center, Chicago, IL, United States.
Front Oncol. 2021 Feb 9;10:591430. doi: 10.3389/fonc.2020.591430. eCollection 2020.
To determine the long-term normal tissue complication probability with stereotactic body radiation therapy (SBRT) treatments for targets that move with respiration and its relation with the type of respiratory motion management (tracking . compression or gating).
A PubMed search was performed for identifying literature regarding dose, volume, fractionation, and toxicity (grade 3 or higher) for SBRT treatments for tumors which move with respiration. From the identified papers logistic or probit dose-response models were fitted to the data using the maximum-likelihood technique and confidence intervals were based on the profile-likelihood method in the dose-volume histogram (DVH) Evaluator.
Pooled logistic and probit models for grade 3 or higher toxicity for aorta, chest wall, duodenum, and small bowel suggest a significant difference when live motion tracking was used for targeting tumors with move with respiration which was on the average 10 times lower, in the high dose range.
Live respiratory motion management appears to have a better toxicity outcome when treating targets which move with respiration with very steep peripheral dose gradients. This analysis is however limited by sparsity of rigorous data due to poor reporting in the literature.
确定对于随呼吸运动的靶区,采用立体定向体部放射治疗(SBRT)时正常组织的长期并发症概率,以及其与呼吸运动管理类型(追踪、压迫或门控)的关系。
在PubMed上进行检索,以识别有关对随呼吸运动的肿瘤进行SBRT治疗的剂量、体积、分割方式和毒性(3级或更高)的文献。从所识别的论文中,使用最大似然技术将逻辑或概率剂量反应模型拟合到数据上,并且在剂量体积直方图(DVH)评估器中基于轮廓似然法确定置信区间。
针对主动脉、胸壁、十二指肠和小肠3级或更高毒性的合并逻辑和概率模型表明,当使用实时运动追踪来靶向随呼吸运动的肿瘤时存在显著差异,在高剂量范围内,其平均低10倍。
当治疗具有非常陡峭外周剂量梯度的随呼吸运动的靶区时,实时呼吸运动管理似乎具有更好的毒性结果。然而,由于文献报道不佳,严格数据的稀缺性限制了该分析。