Multivariable normal-tissue complication modeling of acute esophageal toxicity in advanced stage non-small cell lung cancer patients treated with intensity-modulated (chemo-)radiotherapy
Publication year
2015Source
Radiotherapy and Oncology, 117, 1, (2015), pp. 49-54ISSN
Publication type
Article / Letter to editor
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Organization
Radiation Oncology
Pulmonary Diseases
Medical Imaging
Journal title
Radiotherapy and Oncology
Volume
vol. 117
Issue
iss. 1
Page start
p. 49
Page end
p. 54
Subject
Radboudumc 0: Other Research RIHS: Radboud Institute for Health Sciences; Radboudumc 17: Women's cancers RIHS: Radboud Institute for Health Sciences; Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health SciencesAbstract
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.
This item appears in the following Collection(s)
- Academic publications [246515]
- Faculty of Medical Sciences [93308]
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