Liu Feng, Ververs James D, Farris Michael K, Blackstock A William, Munley Michael T
Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.
Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.
Int J Radiat Oncol Biol Phys. 2024 Mar 1;118(3):829-838. doi: 10.1016/j.ijrobp.2023.09.017. Epub 2023 Sep 19.
A series of radiobiological models were developed to study tumor control probability (TCP) for stereotactic body radiation therapy (SBRT) of early-stage non-small cell lung cancer (NSCLC) per the Hypofractionated Treatment Effects in the Clinic (HyTEC) working group. This study was conducted to further validate 3 representative models with the recent clinical TCP data ranging from conventional radiation therapy to SBRT of early-stage NSCLC and to determine systematic optimal fractionation regimens in 1 to 30 fractions for radiation therapy of early-stage NSCLC that were found to be model-independent.
Recent clinical 1-, 2-, 3-, and 5-year actuarial or Kaplan-Meier TCP data of 9808 patients from 56 published papers were collected for radiation therapy of 2 to 4 Gy per fraction and SBRT of early-stage NSCLC. This data set nearly triples the original HyTEC sample, which was used to further validate the HyTEC model parameters determined from a fit to the clinical TCP data.
TCP data from the expanded data set are well described by the HyTEC models with α/β ratios of about 20 Gy. TCP increases sharply with biologically effective dose and reaches an asymptotic maximal plateau, which allows us to determine optimal fractionation schemes for radiation therapy of early-stage NSCLC.
The HyTEC radiobiological models with α/β ratios of about 20 Gy determined from the fits to the clinical TCP data for SBRT of early-stage NSCLC describe the recent TCP data well for both radiation therapy of 2 to 4 Gy per fraction and SBRT dose and fractionation schemes of early-stage NSCLC. A steep dose response exists between TCP and biologically effective dose, and TCP reaches an asymptotic maximum. This feature results in model-independent optimal fractionation regimens determined whenever safe for SBRT and hypofractionated radiation therapy of early-stage NSCLC in 1 to 30 fractions to achieve asymptotic maximal tumor control, and T2 tumors require slightly higher optimal doses than T1 tumors. The proposed optimal fractionation schemes are consistent with clinical practice for SBRT of early-stage NSCLC.
超分割治疗临床效应(HyTEC)工作组开发了一系列放射生物学模型,用于研究早期非小细胞肺癌(NSCLC)立体定向体部放射治疗(SBRT)的肿瘤控制概率(TCP)。本研究旨在利用近期从早期NSCLC的传统放射治疗到SBRT的临床TCP数据,进一步验证3个代表性模型,并确定1至30次分割的早期NSCLC放射治疗中与模型无关的系统最佳分割方案。
收集了56篇已发表论文中9808例患者的近期临床1年、2年、3年和5年精算或Kaplan-Meier TCP数据,用于早期NSCLC的每次分割2至4 Gy的放射治疗和SBRT。该数据集几乎使原始HyTEC样本增加了两倍,该样本用于进一步验证通过拟合临床TCP数据确定的HyTEC模型参数。
扩展数据集的TCP数据能被α/β比值约为20 Gy的HyTEC模型很好地描述。TCP随生物等效剂量急剧增加,并达到一个渐近最大平台期,这使我们能够确定早期NSCLC放射治疗的最佳分割方案。
通过拟合早期NSCLC SBRT的临床TCP数据确定的α/β比值约为20 Gy的HyTEC放射生物学模型,对于每次分割2至4 Gy的放射治疗以及早期NSCLC的SBRT剂量和分割方案,均能很好地描述近期的TCP数据。TCP与生物等效剂量之间存在陡峭的剂量反应,且TCP达到渐近最大值。这一特征导致在对早期NSCLC进行1至30次分割的SBRT和超分割放射治疗安全时,能确定与模型无关的最佳分割方案,以实现渐近最大肿瘤控制,且T2肿瘤所需的最佳剂量略高于T1肿瘤。所提出的最佳分割方案与早期NSCLC SBRT的临床实践一致。