@article{QIMS11499,
author = {Abdulhamid Chaikh and Jacques Balosso},
title = {Correlation between pneumonitis risk in radiation oncology and lung density measured with X-ray computed tomography},
journal = {Quantitative Imaging in Medicine and Surgery},
volume = {6},
number = {4},
year = {2016},
keywords = {},
abstract = {Background: The risk of toxicity with radiation oncology for lung cancer limits the maximal radiation dose that can be delivered to thoracic tumors. This study aims at investigating the correlation between normal tissue complication probability (NTCP) and physical lung density by analyzing the computed tomography (CT) scan imaging used for radiotherapy dose planning.
Methods: Data from CT of lung cancer patients (n=10), treated with three dimensional radiotherapy, were selected for this study. The dose was calculated using analytical anisotropic algorithm (AAA). Dose volume histograms (DVH) for healthy lung (lung excluding targets) were calculated. The NTCP for lung radiation induced pneumonitis was computed using initial radiobiological parameters from Lyman-Kutcher and Burman (LKB) model and readjusted parameters for AAA, with α/β=3. The correlation coefficient “rho” was calculated using Spearman’s rank test. The bootstrap method was used to estimate the 95% confidence interval (95% CI). Wilcoxon paired test was used to calculate P values.
Results: Bootstrapping simulation revealed significant difference between NTCP computed with the initial radiobiological parameters and that computed with the parameters readjusted for AAA (P=0.03). The results of simulations based on 1,000 replications showed no correlation for NTCP with density, with “rho” },
issn = {2223-4306}, url = {https://qims.amegroups.org/article/view/11499}
}