Zeming Wang1, Mei Chen2, Jian Sun3, Shengpeng Jiang4, Li Wang5, Xiaochun Wang1, Narayan Sahoo1, G Brandon Gunn6, Steven J Frank6, Quynh-Nhu Nguyen6, Zhongxing Liao6, Joe Y Chang6, X Ronald Zhu1, Xiaodong Zhang7. 1. Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA. 2. 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. 3. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA; Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China. 4. Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA; Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China. 5. Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA. 6. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA. 7. Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA. Electronic address: xizhang@mdanderson.org.
Abstract
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.
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 NSCLCpatients 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 NSCLCpatients 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.