Beam–Based Dose Calculation in Stereotactic Body Radiotherapy of Lung Cancer Under Normal and Deep Inspiration Breath Hold

V. Landoni, G. R. Borzì, S. Strolin, V. Bruzzaniti, A. Soriani, D. D’Alessio, F. Ambesi, A. M. Di Grazia, L. Strigari

Research output: Contribution to journalArticle

Abstract

The purpose of this study is to evaluate the differences between dose distributions calculated with the pencil beam (PB) and X-ray voxel Monte Carlo (MC) algorithms for patients with lung cancer using intensity-modulated radiotherapy (IMRT) or HybridArc techniques. The 2 algorithms were compared in terms of dose–volume histograms, under normal and deep inspiration breath hold, and in terms of the tumor control probability (TCP). The dependence of the differences in tumor volume and location was investigated. Dosimetric validation was performed using Gafchromic EBT3 (International Specialty Products, ISP, Wayne, NJ). Forty-five Computed Tomography (CT) data sets were used for this study; 40 Gy at 8 Gy/fraction was prescribed with 5 noncoplanar 6-MV IMRT beams or 3 to 4 dynamic conformal arcs with 3 to 5 IMRT beams distributed per arc. The plans were first calculated with PB and then recalculated with MC. The difference between the mean tumor doses was approximately 10% ± 4%; these differences were even larger under deep inspiration breath hold. Differences between the mean tumor dose correlated with tumor volume and path length of the beams. The TCP values changed from 99.87% ± 0.24% to 96.78% ± 4.81% for both PB- and MC-calculated plans (P =.009). When a fraction of hypoxic cells was considered, the mean TCP values changed from 76.01% ± 5.83% to 34.78% ± 18.06% for the differently calculated plans (P

Original languageEnglish
Pages (from-to)334-342
Number of pages9
JournalTechnology in Cancer Research and Treatment
Volume14
Issue number3
DOIs
Publication statusPublished - Jun 1 2015

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Keywords

  • Monte Carlo calculation
  • stereotactic lung radiotherapy
  • tumor control probability

ASJC Scopus subject areas

  • Cancer Research
  • Oncology
  • Medicine(all)

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