University of Maryland, School of Medicine, Baltimore, Maryland.
UT Southwestern Medical Center, Dallas, Texas.
Int J Radiat Oncol Biol Phys. 2018 Sep 1;102(1):210-218. doi: 10.1016/j.ijrobp.2018.04.060. Epub 2018 May 2.
Radiation injury to the bronchial tree is an important yet poorly understood potential side effect in lung stereotactic ablative radiation therapy (SAbR). We investigate the integration of virtual bronchoscopy in radiation therapy planning to quantify dosage to individual airways. We develop a risk model of airway collapse and develop treatment plans that reduce the risk of radiation-induced airway injury.
Pre- and post-SAbR diagnostic-quality computerized tomography (CT) scans were retrospectively collected from 26 lung cancer patients. From each scan, the bronchial tree was segmented using a virtual bronchoscopy system and registered deformably to the planning CT. Univariate and stepwise multivariate Cox regressions were performed, examining factors such as age, comorbidities, smoking pack years, airway diameter, and maximum point dosage (D). Logistic regression was utilized to formulate a risk function of segmental collapse based on D and diameter. The risk function was incorporated into the objective function along with clinical dosage volume constraints for planning target volume (PTV) and organs at risk (OARs).
Univariate analysis showed that segmental diameter (P = .014) and D (P = .007) were significantly correlated with airway segment collapse. Multivariate stepwise Cox regression showed that diameter (P = .015), D (P < .0001), and pack/years of smoking (P = .02) were significant independent factors associated with collapse. Risk management-based plans enabled significant dosage reduction to individual airway segments while fulfilling clinical dosimetric objectives.
To our knowledge, this is the first systematic investigation of functional avoidance in lung SAbR based on mapping and minimizing doses to individual bronchial segments. Our early results show that it is possible to substantially lower airway dosage. Such dosage reduction may potentially reduce the risk of radiation-induced airway injury, while satisfying clinically prescribed dosimetric objectives.
肺部立体定向消融放疗(SAbR)中,支气管树的放射性损伤是一种重要但尚未被充分了解的潜在副作用。我们研究了虚拟支气管镜在放疗计划中的整合,以量化每个气道的剂量。我们开发了一种气道塌陷风险模型,并制定了降低辐射诱导性气道损伤风险的治疗计划。
回顾性收集了 26 例肺癌患者的 SAbR 前后诊断质量的计算机断层扫描(CT)扫描。从每次扫描中,使用虚拟支气管镜系统对支气管树进行分割,并以变形方式注册到计划 CT。进行了单变量和逐步多变量 Cox 回归分析,检查了年龄、合并症、吸烟包年数、气道直径和最大点剂量(D)等因素。利用逻辑回归,根据 D 和直径制定了节段性塌陷的风险函数。该风险函数与规划靶区(PTV)和危及器官(OAR)的临床剂量体积限制一起被纳入目标函数。
单变量分析显示,节段直径(P=.014)和 D(P=.007)与气道节段塌陷显著相关。多变量逐步 Cox 回归显示,直径(P=.015)、D(P<.0001)和吸烟包/年数(P=.02)是与塌陷显著相关的独立因素。基于风险管理的计划能够显著降低单个气道段的剂量,同时满足临床剂量学目标。
据我们所知,这是首次基于对肺 SAbR 中单个支气管段进行映射和最小化剂量来进行功能回避的系统研究。我们的初步结果表明,降低气道剂量是有可能的。这种剂量降低可能会降低辐射诱导性气道损伤的风险,同时满足临床规定的剂量学目标。