Degradation of proton depth dose distributions attributable to microstructures in lung‐equivalent material. Issue 11 (14th October 2015)

• Record Type: Journal Article
• Authors: Titt, Uwe; Sell, Martin; Unkelbach, Jan; Bangert, Mark; Mirkovic, Dragan; Oelfke, Uwe; Mohan, Radhe
• Is Part Of: Medical physics. Volume 42:Issue 11(2015)
• Page Start: 6425
• Page End: 6432
• Publication Date: 2015-10-14
• Subjects: biological tissues -- computerised tomography -- convolution -- dosimetry -- lung -- Monte Carlo methods -- phantoms -- radiation therapy; Therapeutic applications, including brachytherapy -- Dosimetry/exposure assessment -- Computed tomography -- Monte Carlo methods; Computerised tomographs -- Radiation therapy -- Biological material, e.g. blood, urine; Haemocytometers -- Scintigraphy; Monte Carlo -- measurements -- proton therapy -- lung tissue -- dose degradation; Protons -- Computed tomography -- Lungs -- Monte Carlo methods -- Medical imaging -- Dosimetry -- Tissues -- Ion beams -- Modulators -- Medical treatment planning; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4932625
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: The purpose of the work reported here was to investigate the influence of sub‐millimeter size heterogeneities on the degradation of the distal edges of proton beams and to validate Monte Carlo (MC) methods' ability to correctly predict such degradation. Methods: A custom‐designed high‐resolution plastic phantom approximating highly heterogeneous, lung‐like structures was employed in measurements and in Monte Carlo simulations to evaluate the degradation of proton Bragg curves penetrating heterogeneous media. Results: Significant differences in distal falloff widths and in peak dose values were observed in the measured and the Monte Carlo simulated curves compared to pristine proton Bragg curves. Furthermore, differences between simulations of beams penetrating CT images of the phantom did not agree well with the corresponding experimental differences. The distal falloff widths in CT image‐based geometries were underestimated by up to 0.2 cm in water (corresponding to 0.8–1.4 cm in lung tissue), and the peak dose values of pristine proton beams were overestimated by as much as ˜35% compared to measured curves or depth‐dose curves simulated on the basis of true geometry. The authors demonstrate that these discrepancies were caused by the limited spatial resolution of CT images that served as a basis for dose calculations and lead to underestimation of the impact of the fine structure of tissue heterogeneities. A convolution model was successfully applied to mitigate the underestimation. Conclusions: The results of this study justify further development of models to better represent heterogeneity effects in soft‐tissue geometries, such as lung, and to correct systematic underestimation of the degradation of the distal edge of proton doses.