Modeling the risk of radiation-induced lung fibrosis: Irradiated heart tissue is as important as irradiated lung. Issue 1 (October 2015)

• Record Type: Journal Article
• Authors: Cella, Laura; D'Avino, Vittoria; Palma, Giuseppe; Conson, Manuel; Liuzzi, Raffaele; Picardi, Marco; Pressello, Maria Cristina; Boboc, Genoveva Ionela; Battistini, Roberta; Donato, Vittorio; Pacelli, Roberto
• Is Part Of: Radiotherapy and oncology. Volume 117:Issue 1(2015:Oct.)
• Page Start: 36
• Page End: 43
• Publication Date: 2015-10
• Subjects: Oncology -- Periodicals; Radiotherapy -- Periodicals; Tumors -- Periodicals; Medical Oncology -- Periodicals; Neoplasms -- radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiothérapie -- Périodiques; Cancérologie -- Périodiques; Tumeurs -- Périodiques; Electronic journals; 616.9940642
• DOI: 10.1016/j.radonc.2015.07.051
• Languages: English
• ISSNs: 0167-8140

Abstract

<abstract xml:lang="en" abstract-type="author" id="ab005"> <title id="st005">Abstract</title> <sec> <title id="st010">Purpose</title> <p id="sp0005">We used normal tissue complication probability (NTCP) modeling to explore the impact of heart irradiation on radiation-induced lung fibrosis (RILF).</p> </sec> <sec> <title id="st015">Materials and methods</title> <p id="sp0010">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 <italic>R</italic>s coefficient and ROC area.</p> </sec> <sec> <title id="st020">Results</title> <p id="sp0015">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 (<italic>R</italic>s = 0.35, AUC = 0.78), or alternatively, the lungs near maximum dose <italic>D</italic><sub>2%</sub> (<italic>R</italic>s = 0.38, AUC = 0.80).</p> </sec> <sec> <title id="st025">Conclusion</title> <p id="sp0020">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.</p> </sec> </abstract>