Development and internal validation of a multinomial NTCP model for the severity of acute dyspnea after radiotherapy for lung cancer

Gilles Defraene*, Ewoud Schuit, Dirk De Ruysscher

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Web of Science)

Abstract

Background and purpose: Dyspnea evolution after radiotherapy for lung cancer is complex with potential symptom deterioration and improvement from baseline. We developed and internally validated a multinomial normal tissue complication probability (NTCP) model predicting dyspnea grade. Materials and methods: Patient-reported dyspnea was collected pre-treatment and during 6 months follow-up for 182 stage I-IV lung cancer patients treated with radical (chemo) radiotherapy. Dyspnea changes (DDys) from the baseline grade (Dys0) to the follow-up grade (Dys) were evaluated. A multinomial logistic regression model simultaneously predicting 3 grades of Dys (Dys 3, Dys = 2 and Dys 1 (reference level)) was optimized. Reference NTCP models predicting Dys 2 and Dys 3 risks irrespective of Dys0 were generated for comparison. Models were shrunken and performance was assessed using optimism-corrected AUC (bootstrapping). Results: Rates of DDys 1 (deterioration) and DDys -1 (improvement) at 6 months were 31.9% and 12.6%. Dys 3, Dys = 2 and Dys 1 rates were 13.7%, 20.9% and 65.4%, respectively. The multinomial model (combining the risk factors Dys0 and MLD and the protective factor chemotherapy treatment) predicted Dys 3, Dys = 2 and Dys 1 with AUC (95% CI) of 0.72 (0.65-0.75) 0.76 (0.72-0.79) and 0.78 (0.74-0.80), respectively. Reference Dys 2 and Dys 3 models showed worse AUC: 0.64 (0.59-0.67) and 0.66 (0.50-0.70), respectively. Conclusions: Dyspnea grade could be predicted with high accuracy using a multinomial NTCP model, yielding personalized dyspnea symptom improvement and deterioration risks. (C) 2019 Elsevier B.V. All rights reserved. Radiotherapy and Oncology

Original languageEnglish
Pages (from-to)176-184
Number of pages9
JournalRadiotherapy and Oncology
Volume136
DOIs
Publication statusPublished - Jul 2019

Keywords

  • Radiation-induced dyspnea
  • Patient-reported outcome
  • NTCP modeling
  • Lung cancer
  • Baseline symptoms
  • HIGH-PRECISION RADIOTHERAPY
  • RADIATION PNEUMONITIS
  • EUROPEAN ORGANIZATION
  • CT
  • RISK
  • IMPROVE
  • RECOMMENDATIONS
  • CONSTRAINTS
  • PREDICTION
  • EVOLUTION

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