Literature DB >> 17500477

The impact of breathing motion versus heterogeneity effects in lung cancer treatment planning.

Mihaela Rosu1, Indrin J Chetty, Daniel S Tatro, Randall K Ten Haken.   

Abstract

The purpose of this study is to investigate the effects of tissue heterogeneity and breathing-induced motion/deformation on conformal treatment planning for pulmonary tumors and to compare the magnitude and the clinical importance of changes induced by these effects. Treatment planning scans were acquired at normal exhale/inhale breathing states for fifteen patients. The internal target volume (ITV) was defined as the union of exhale and inhale gross tumor volumes uniformly expanded by 5 mm. Anterior/posterior opposed beams (AP/PA) and three-dimensional (3D)-conformal plans were designed using the unit-density exhale ("static") dataset. These plans were further used to calculate (a) density-corrected ("heterogeneous") static dose and (b) heterogeneous cumulative dose, including breathing deformations. The DPM Monte Carlo code was used for dose computations. For larger than coin-sized tumors, relative to unit-density plans, tumor and lung doses increased in the heterogeneity-corrected plans. In comparing cumulative and static plans, larger normal tissue complication probability changes were observed for tumors with larger motion amplitudes and uncompensated breathing-induced hot/cold spots in lung. Accounting for tissue heterogeneity resulted in average increases of 9% and 7% in mean lung dose (MLD) for the 6 MV and 15 MV photon beams, respectively. Breathing-induced effects resulted in approximately 1% and 2% average decreases in MLD from the static value, for the 6 and 15 MV photon beams, respectively. The magnitude of these effects was not found to correlate with the treatment plan technique, i.e., AP/PA versus 3D-CRT. Given a properly designed ITV, tissue heterogeneity effects are likely to have a larger clinical significance on tumor and normal lung treatment evaluation metrics than four-dimensional respiratory-induced changes.

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Year:  2007        PMID: 17500477     DOI: 10.1118/1.2713427

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  Dosimetric impact of motion in free-breathing and gated lung radiotherapy: a 4D Monte Carlo study of intrafraction and interfraction effects.

Authors:  Joao Seco; Greg C Sharp; Ziji Wu; David Gierga; Florian Buettner; Harald Paganetti
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

2.  Extension of the NCAT phantom for the investigation of intra-fraction respiratory motion in IMRT using 4D Monte Carlo.

Authors:  Ross McGurk; Joao Seco; Marco Riboldi; John Wolfgang; Paul Segars; Harald Paganetti
Journal:  Phys Med Biol       Date:  2010-02-16       Impact factor: 3.609

3.  Design and testing of a simulation framework for dosimetric motion studies integrating an anthropomorphic computational phantom into four-dimensional Monte Carlo.

Authors:  M Riboldi; G T Y Chen; G Baroni; H Paganetti; J Seco
Journal:  Technol Cancer Res Treat       Date:  2008-12

4.  Review of fast monte carlo codes for dose calculation in radiation therapy treatment planning.

Authors:  Keyvan Jabbari
Journal:  J Med Signals Sens       Date:  2011-01

5.  Percentage depth dose evaluation in heterogeneous media using thermoluminescent dosimetry.

Authors:  L A R da Rosa; S C Cardoso; L T Campos; V G L Alves; D V S Batista; A Facure
Journal:  J Appl Clin Med Phys       Date:  2010-01-28       Impact factor: 2.102

6.  Impact of Intra-Fractional Motion on Dose Distributions in Lung IMRT.

Authors:  Mikhail A Chetvertkov; Oleg N Vassiliev; Jinzhong Yang; He C Wang; Amy Y Liu; Zhongxing Liao; Radhe Mohan
Journal:  J Radiother Pract       Date:  2020-01-09
  6 in total

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