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    A novel method for the evaluation of uncertainty in dose-volume histogram computation.

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    Authors
    Henríquez, Francisco Cutanda
    Castrillón, Silvia Vargas
    Affiliation
    NW Medical Physics, Christie Hospital NHS Foundation Trust, Manchester, United Kingdom. francisco.cutanda@hotmail.com
    Issue Date
    2008-03-15
    
    Metadata
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    Abstract
    PURPOSE: Dose-volume histograms (DVHs) are a useful tool in state-of-the-art radiotherapy treatment planning, and it is essential to recognize their limitations. Even after a specific dose-calculation model is optimized, dose distributions computed by using treatment-planning systems are affected by several sources of uncertainty, such as algorithm limitations, measurement uncertainty in the data used to model the beam, and residual differences between measured and computed dose. This report presents a novel method to take them into account. METHODS AND MATERIALS: To take into account the effect of associated uncertainties, a probabilistic approach using a new kind of histogram, a dose-expected volume histogram, is introduced. The expected value of the volume in the region of interest receiving an absorbed dose equal to or greater than a certain value is found by using the probability distribution of the dose at each point. A rectangular probability distribution is assumed for this point dose, and a formulation that accounts for uncertainties associated with point dose is presented for practical computations. RESULTS: This method is applied to a set of DVHs for different regions of interest, including 6 brain patients, 8 lung patients, 8 pelvis patients, and 6 prostate patients planned for intensity-modulated radiation therapy. CONCLUSIONS: Results show a greater effect on planning target volume coverage than in organs at risk. In cases of steep DVH gradients, such as planning target volumes, this new method shows the largest differences with the corresponding DVH; thus, the effect of the uncertainty is larger.
    Citation
    A novel method for the evaluation of uncertainty in dose-volume histogram computation. 2008, 70 (4):1263-71 Int. J. Radiat. Oncol. Biol. Phys.
    Journal
    International Journal of Radiation Oncology, Biology, Physics
    URI
    http://hdl.handle.net/10541/66856
    DOI
    10.1016/j.ijrobp.2007.11.038
    PubMed ID
    18313532
    Type
    Article
    Language
    en
    ISSN
    0360-3016
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ijrobp.2007.11.038
    Scopus Count
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    All Christie Publications
    Christie Medical Physics and Engineering Research

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