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

2.50
Hdl Handle:
http://hdl.handle.net/10541/66856
Title:
A novel method for the evaluation of uncertainty in dose-volume histogram computation.
Authors:
Henríquez, Francisco Cutanda; Castrillón, Silvia Vargas
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.
Affiliation:
NW Medical Physics, Christie Hospital NHS Foundation Trust, Manchester, United Kingdom. francisco.cutanda@hotmail.com
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
Issue Date:
15-Mar-2008
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
Appears in Collections:
All Christie Publications ; Christie Medical Physics and Engineering Research

Full metadata record

DC FieldValue Language
dc.contributor.authorHenríquez, Francisco Cutanda-
dc.contributor.authorCastrillón, Silvia Vargas-
dc.date.accessioned2009-05-01T10:29:14Z-
dc.date.available2009-05-01T10:29:14Z-
dc.date.issued2008-03-15-
dc.identifier.citationA novel method for the evaluation of uncertainty in dose-volume histogram computation. 2008, 70 (4):1263-71 Int. J. Radiat. Oncol. Biol. Phys.en
dc.identifier.issn0360-3016-
dc.identifier.pmid18313532-
dc.identifier.doi10.1016/j.ijrobp.2007.11.038-
dc.identifier.urihttp://hdl.handle.net/10541/66856-
dc.description.abstractPURPOSE: 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.en
dc.language.isoenen
dc.subjectPelvic Canceren
dc.subjectDose Distributionen
dc.subjectLung Canceren
dc.subjectCanceren
dc.subjectProstatic Canceren
dc.subject.meshAlgorithms-
dc.subject.meshBrain Neoplasms-
dc.subject.meshHumans-
dc.subject.meshLung-
dc.subject.meshLung Neoplasms-
dc.subject.meshMale-
dc.subject.meshNeoplasms-
dc.subject.meshPelvic Neoplasms-
dc.subject.meshProstate-
dc.subject.meshProstatic Neoplasms-
dc.subject.meshRadiotherapy Dosage-
dc.subject.meshRadiotherapy, Intensity-Modulated-
dc.subject.meshRectum-
dc.subject.meshSpinal Cord-
dc.subject.meshUncertainty-
dc.subject.meshUrinary Bladder-
dc.titleA novel method for the evaluation of uncertainty in dose-volume histogram computation.en
dc.typeArticleen
dc.contributor.departmentNW Medical Physics, Christie Hospital NHS Foundation Trust, Manchester, United Kingdom. francisco.cutanda@hotmail.comen
dc.identifier.journalInternational Journal of Radiation Oncology, Biology, Physicsen

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