4.7 Article

Modeling the risk of radiation-induced lung fibrosis: Irradiated heart tissue is as important as irradiated lung

Journal

RADIOTHERAPY AND ONCOLOGY
Volume 117, Issue 1, Pages 36-43

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.radonc.2015.07.051

Keywords

NTCP; Bootstrap resampling; Dose-mass histogram; Radiation-induced lung fibrosis; Hodgkin lymphoma; Heart

Funding

  1. Italian Ministry of Education, University and Research (MIUR) [RBFR10Q0PT_001 DROPS]

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Purpose: We used normal tissue complication probability (NTCP) modeling to explore the impact of heart irradiation on radiation-induced lung fibrosis (RILF). Materials and methods: We retrospectively reviewed for RILF 148 consecutive Hodgkin lymphoma (HL) patients treated with sequential chemo-radiotherapy (CHT-RT). Left, right, total lung and heart dose-volume and dose-mass parameters along with clinical, disease and treatment-related characteristics were analyzed. NTCP modeling by multivariate logistic regression analysis using bootstrapping was performed. Models were evaluated by Spearman Rs coefficient and ROC area. Results: At a median time of 13 months, 18 out of 115 analyzable patients (15.6%) developed RILF after treatment. A three-variable predictive model resulted to be optimal for RILF. The two models most frequently selected by bootstrap included increasing age and mass of heart receiving >30 Gy as common predictors, in combination with left lung V5 (Rs = 0.35, AUC = 0.78), or alternatively, the lungs near maximum dose D-2% (Rs = 0.38, AUC = 0.80). Conclusion: CHT-RT may cause lung injury in a small, but significant fraction of HL patients. Our results suggest that aging along with both heart and lung irradiation plays a fundamental role in the risk of developing RILF. (C) 2015 Elsevier Ireland Ltd. All rights reserved.

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