Literature DB >> 16193778

Dose reconstruction in deforming lung anatomy: dose grid size effects and clinical implications.

Mihaela Rosu1, Indrin J Chetty, James M Balter, Marc L Kessler, Daniel L McShan, Randall K Ten Haken.   

Abstract

In this study we investigated the accumulation of dose to a deforming anatomy (such as lung) based on voxel tracking and by using time weighting factors derived from a breathing probability distribution function (p.d.f.). A mutual information registration scheme (using thin-plate spline warping) provided a transformation that allows the tracking of points between exhale and inhale treatment planning datasets (and/or intermediate state scans). The dose distributions were computed at the same resolution on each dataset using the Dose Planning Method (DPM) Monte Carlo code. Two accumulation/interpolation approaches were assessed. The first maps exhale dose grid points onto the inhale scan, estimates the doses at the "tracked" locations by trilinear interpolation and scores the accumulated doses (via the p.d.f.) on the original exhale data set. In the second approach, the "volume" associated with each exhale dose grid point (exhale dose voxel) is first subdivided into octants, the center of each octant is mapped to locations on the inhale dose grid and doses are estimated by trilinear interpolation. The octant doses are then averaged to form the inhale voxel dose and scored at the original exhale dose grid point location. Differences between the interpolation schemes are voxel size and tissue density dependent, but in general appear primarily only in regions with steep dose gradients (e.g., penumbra). Their magnitude (small regions of few percent differences) is less than the alterations in dose due to positional and shape changes from breathing in the first place. Thus, for sufficiently small dose grid point spacing, and relative to organ motion and deformation, differences due solely to the interpolation are unlikely to result in clinically significant differences to volume-based evaluation metrics such as mean lung dose (MLD) and tumor equivalent uniform dose (gEUD). The overall effects of deformation vary among patients. They depend on the tumor location, field size, volume expansion, tissue heterogeneity, and direction of tumor displacement with respect to the beam, and are more likely to have an impact on serial organs (such as esophagus), rather than on large parallel organs (such as lung).

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Year:  2005        PMID: 16193778     DOI: 10.1118/1.1949749

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


  27 in total

1.  A method to evaluate dose errors introduced by dose mapping processes for mass conserving deformations.

Authors:  C Yan; G Hugo; F J Salguero; N Saleh-Sayah; E Weiss; W C Sleeman; J V Siebers
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  A pseudoinverse deformation vector field generator and its applications.

Authors:  C Yan; H Zhong; M Murphy; E Weiss; J V Siebers
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

3.  Method for Fast CT/SPECT-Based 3D Monte Carlo Absorbed Dose Computations in Internal Emitter Therapy.

Authors:  S J Wilderman; Y K Dewaraja
Journal:  IEEE Trans Nucl Sci       Date:  2007-02-17       Impact factor: 1.679

4.  Four-dimensional radiotherapeutic dose calculation using biomechanical respiratory motion description.

Authors:  Petru Manescu; Hamid Ladjal; Joseph Azencot; Michael Beuve; Etienne Testa; Behzad Shariat
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-09-01       Impact factor: 2.924

Review 5.  Accurate accumulation of dose for improved understanding of radiation effects in normal tissue.

Authors:  David A Jaffray; Patricia E Lindsay; Kristy K Brock; Joseph O Deasy; W A Tomé
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

6.  Assessment of dose reconstruction errors in image-guided radiation therapy.

Authors:  Hualiang Zhong; Elisabeth Weiss; Jeffrey V Siebers
Journal:  Phys Med Biol       Date:  2008-01-11       Impact factor: 3.609

7.  A mass-conserving 4D XCAT phantom for dose calculation and accumulation.

Authors:  Christopher L Williams; Pankaj Mishra; Joao Seco; Sara St James; Raymond H Mak; Ross I Berbeco; John H Lewis
Journal:  Med Phys       Date:  2013-07       Impact factor: 4.071

8.  A distance to dose difference tool for estimating the required spatial accuracy of a displacement vector field.

Authors:  Nahla K Saleh-Sayah; Elisabeth Weiss; Francisco J Salguero; Jeffrey V Siebers
Journal:  Med Phys       Date:  2011-05       Impact factor: 4.071

9.  Evaluation of adaptive treatment planning for patients with non-small cell lung cancer.

Authors:  Hualiang Zhong; Salim M Siddiqui; Benjamin Movsas; Indrin J Chetty
Journal:  Phys Med Biol       Date:  2017-01-10       Impact factor: 3.609

10.  Effect of deformable registration uncertainty on lung SBRT dose accumulation.

Authors:  Navid Samavati; Michael Velec; Kristy K Brock
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

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