Lyman?Kutcher?Burman normal tissue complication probability modeling for radiation -induced esophagitis in non -small cell lung cancer patients receiving proton radiotherapy

被引:14
|
作者
Wang, Zeming [1 ]
Chen, Mei [1 ,2 ]
Sun, Jian [3 ,4 ]
Jiang, Shengpeng [1 ,4 ]
Wang, Li [5 ]
Wang, Xiaochun [1 ]
Sahoo, Narayan [1 ]
Gunn, G. Brandon [3 ]
Frank, Steven J. [3 ]
Nguyen, Quynh-Nhu [3 ]
Liao, Zhongxing [3 ]
Chang, Joe Y. [3 ]
Zhu, X. Ronald [1 ]
Zhang, Xiaodong [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Phys, Unit 1150,1515 Holcombe Blvd, Houston, TX 77030 USA
[2] Shanghai Jiao Tong Univ, Ruijin Hosp, Dept Radiat Oncol, Sch Med, Shanghai, Peoples R China
[3] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX 77030 USA
[4] Tianjin Med Univ, Dept Radiat Oncol, Canc Inst & Hosp, Tianjin, Peoples R China
[5] Univ Texas MD Anderson Canc Ctr, Dept Expt Radiat Oncol, Houston, TX 77030 USA
关键词
THERAPY; PREDICTORS; REDUCTION; SELECTION; TOXICITY; IMPACT;
D O I
10.1016/j.radonc.2020.03.003
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: 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). Material and methods: 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 TD50) were determined using maximum likelihood estimation. Overall performance of the model was quantified by Nagelkerke's R2 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. Results: 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 TD50 = 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. Conclusion: 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. © 2020 Elsevier B.V.
引用
收藏
页码:200 / 204
页数:5
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