Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA.
Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA; Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Radiother Oncol. 2020 May;146:200-204. doi: 10.1016/j.radonc.2020.03.003. Epub 2020 Apr 30.
To develop and test an Lyman-Kutcher-Burman (LKB) normal tissue complication probability (NTCP) model to predict radiation-induced esophagitis (RE) in non-small cell lung cancer (NSCLC) patients receiving passive-scattering proton therapy (PSPT).
We retrospectively reviewed 328 NSCLC patients receiving PSPT at our institution. Esophagitis severity was graded by physicians according to the Common Toxicity Criteria for Adverse Events version 3.0, and the primary endpoint was grade ≥2 RE within 6 months from the first treatment. LKB model parameters (n, m, and TD) were determined using maximum likelihood estimation. Overall performance of the model was quantified by Nagelkerke's R and the scaled Brier score. Discriminative ability was evaluated using the area under the receiver operating curve (AUC), and calibration was assessed with the Hosmer-Lemeshow goodness-of-fit test. Bootstrap internal validation was performed to assess the model uncertainty and generalizability.
Grade 2-3 RE was observed in 136 (41.5%) patients, and no grade 4-5 RE was reported. The optimal LKB parameters were: n = 0.24, m = 0.51, and TD = 44.83 Gy (relative biological effectiveness). The optimism-corrected AUC was 0.783, and the Hosmer-Lemeshow test showed significant agreement between predicted and observed morbidity. Bootstrap validation verified that the model was robust to similar future populations.
Our LKB NTCP model to predict grade ≥2 RE in NSCLC patients who received PSPT showed good predictive performance and robustness to similar future populations, and a smaller volume effect than the previously observed in photon-treated populations. External validation of the model is warranted.
开发和验证一种 Lyman-Kutcher-Burman(LKB)正常组织并发症概率(NTCP)模型,以预测接受被动散射质子治疗(PSPT)的非小细胞肺癌(NSCLC)患者的放射性食管炎(RE)。
我们回顾性分析了在我院接受 PSPT 的 328 例 NSCLC 患者。食管炎严重程度由医师根据不良事件通用毒性标准 3.0 进行分级,主要终点为治疗后 6 个月内出现 2 级或以上 RE。采用最大似然估计法确定 LKB 模型参数(n、m 和 TD)。采用 Nagelkerke 的 R 和标准化 Brier 评分来量化模型的整体性能。采用接收者操作特征曲线下面积(AUC)评估判别能力,采用 Hosmer-Lemeshow 拟合优度检验评估校准情况。采用 Bootstrap 内部验证评估模型的不确定性和可推广性。
136 例(41.5%)患者出现 2-3 级 RE,无 4-5 级 RE。最佳 LKB 参数为:n=0.24,m=0.51,TD=44.83 Gy(相对生物效应)。校正后的 AUC 为 0.783,Hosmer-Lemeshow 检验显示预测发病率与观察发病率之间存在显著一致性。Bootstrap 验证验证了该模型对类似未来人群具有稳健性。
我们的 LKB NTCP 模型预测接受 PSPT 的 NSCLC 患者 2 级或以上 RE 的预测性能良好,对类似未来人群具有稳健性,且体积效应小于先前观察到的光子治疗人群。该模型需要进一步的外部验证。