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Multivariable normal-tissue complication modeling of acute esophageal toxicity in advanced stage non-small cell lung cancer patients treated with intensity-modulated (chemo-)radiotherapy
Abstract Background and purpose The majority of normal-tissue complication probability (NTCP) models for acute esophageal toxicity (AET) in advanced stage non-small cell lung cancer (AS-NSCLC) patients treated with (chemo-)radiotherapy are based on three-dimensional conformal radiotherapy (3D-CRT)....
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Published in: | Radiotherapy and oncology 2015-10, Vol.117 (1), p.49-54 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Abstract Background and purpose The majority of normal-tissue complication probability (NTCP) models for acute esophageal toxicity (AET) in advanced stage non-small cell lung cancer (AS-NSCLC) patients treated with (chemo-)radiotherapy are based on three-dimensional conformal radiotherapy (3D-CRT). Due to distinct dosimetric characteristics of intensity-modulated radiation therapy (IMRT), 3D-CRT based models need revision. We established a multivariable NTCP model for AET in 149 AS-NSCLC patients undergoing IMRT. Materials and methods An established model selection procedure was used to develop an NTCP model for Grade ⩾2 AET (53 patients) including clinical and esophageal dose–volume histogram parameters. Results The NTCP model predicted an increased risk of Grade ⩾2 AET in case of: concurrent chemoradiotherapy (CCR) [adjusted odds ratio (OR) 14.08, 95% confidence interval (CI) 4.70–42.19; p < 0.001], increasing mean esophageal dose [ Dmean ; OR 1.12 per Gy increase, 95% CI 1.06–1.19; p < 0.001], female patients (OR 3.33, 95% CI 1.36–8.17; p = 0.008), and ⩾cT3 (OR 2.7, 95% CI 1.12–6.50; p = 0.026). The AUC was 0.82 and the model showed good calibration. Conclusions A multivariable NTCP model including CCR, Dmean , clinical tumor stage and gender predicts Grade ⩾2 AET after IMRT for AS-NSCLC. Prior to clinical introduction, the model needs validation in an independent patient cohort. |
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ISSN: | 0167-8140 1879-0887 |
DOI: | 10.1016/j.radonc.2015.08.010 |