Literature DB >> 27709077

Correlation between pneumonitis risk in radiation oncology and lung density measured with X-ray computed tomography.

Abdulhamid Chaikh1, Jacques Balosso2.   

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" <0.3.
CONCLUSIONS: For a given set of patients, we assessed the correlation between NTCP and lung density using bootstrap analysis. The lack of correlation could result either from a very accurate dose calculation, by AAA, whatever the lung density yielding a NTCP result only dependant of the dose and not any more of the density; or to the very limited range of natural variation of relative electronic density (0.15 to 0.20) observed in this small series of patients. Another important parameter is the bootstrap simulation with 1,000 random samplings may have underestimated the correlation, since the initial data (n=10) showed a weak correlation.

Entities:  

Keywords:  Normal tissue complication probability (NTCP); bootstrap; physical density of lung; radiotherapy

Year:  2016        PMID: 27709077      PMCID: PMC5009095          DOI: 10.21037/qims.2016.08.09

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  17 in total

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Review 2.  Tolerance of normal tissue to therapeutic irradiation.

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6.  Dose distributions in SBRT of lung tumors: Comparison between two different treatment planning algorithms and Monte-Carlo simulation including breathing motions.

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9.  Radiation dose verification using real tissue phantom in modern radiotherapy techniques.

Authors:  Om Prakash Gurjar; S P Mishra; Virendra Bhandari; Pankaj Pathak; Prapti Patel; Garima Shrivastav
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10.  The choice of statistical methods for comparisons of dosimetric data in radiotherapy.

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  1 in total

1.  Impact of dose calculation models on radiotherapy outcomes and quality adjusted life years for lung cancer treatment: do we need to measure radiotherapy outcomes to tune the radiobiological parameters of a normal tissue complication probability model?

Authors:  Abdulhamid Chaikh; Nicolas Docquière; Pierre-Yves Bondiau; Jacques Balosso
Journal:  Transl Lung Cancer Res       Date:  2016-12
  1 in total

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