Source:http://linkedlifedata.com/resource/pubmed/id/18722599
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
9
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| pubmed:dateCreated |
2008-9-8
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| pubmed:abstractText |
The therapeutic use of protons and ions, especially carbon ions, is a new technique and a challenge to conform the dose to the target due to the energy deposition characteristics of hadron beams. An appropriate treatment planning system (TPS) is strictly necessary to take full advantage. We developed a TPS software, ANCOD++, for the evaluation of the optimal conformal dose. ANCOD++ is an analytical code using the voxel-scan technique as an active method to deliver the dose to the patient, and provides treatment plans with both proton and carbon ion beams. The iterative algorithm, coded in C++ and running on Unix/Linux platform, allows the determination of the best fluences of the individual beams to obtain an optimal physical dose distribution, delivering a maximum dose to the target volume and a minimum dose to critical structures. The TPS is supported by Monte Carlo simulations with the package GEANT3 to provide the necessary physical lookup tables and verify the optimized treatment plans. Dose verifications done by means of full Monte Carlo simulations show an overall good agreement with the treatment planning calculations. We stress the fact that the purpose of this work is the verification of the physical dose and a next work will be dedicated to the radiobiological evaluation of the equivalent biological dose.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:chemical | |
| pubmed:status |
MEDLINE
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| pubmed:month |
Sep
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| pubmed:issn |
0010-4825
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| pubmed:author |
pubmed-author:AttiliAA,
pubmed-author:BourhalebFF,
pubmed-author:CirioRR,
pubmed-author:DonettiMM,
pubmed-author:GiordanengoSS,
pubmed-author:GivehchiNN,
pubmed-author:IliescuSS,
pubmed-author:KrengliMM,
pubmed-author:La RosaAA,
pubmed-author:MarchettiLL,
pubmed-author:MassaiDD,
pubmed-author:PardoJJ,
pubmed-author:PeckaAA,
pubmed-author:PeroniCC,
pubmed-author:PittàGG
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| pubmed:issnType |
Print
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| pubmed:volume |
38
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| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
990-9
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| pubmed:meshHeading |
pubmed-meshheading:18722599-Biophysics,
pubmed-meshheading:18722599-Brain Neoplasms,
pubmed-meshheading:18722599-Carbon,
pubmed-meshheading:18722599-Glioblastoma,
pubmed-meshheading:18722599-Heavy Ions,
pubmed-meshheading:18722599-Humans,
pubmed-meshheading:18722599-Imaging, Three-Dimensional,
pubmed-meshheading:18722599-Meningioma,
pubmed-meshheading:18722599-Monte Carlo Method,
pubmed-meshheading:18722599-Orbital Neoplasms,
pubmed-meshheading:18722599-Programming Languages,
pubmed-meshheading:18722599-Protons,
pubmed-meshheading:18722599-Radiotherapy Planning, Computer-Assisted,
pubmed-meshheading:18722599-Software,
pubmed-meshheading:18722599-Tomography, X-Ray Computed
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| pubmed:year |
2008
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| pubmed:articleTitle |
A treatment planning code for inverse planning and 3D optimization in hadrontherapy.
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| pubmed:affiliation |
Department of Experimental Physics, University of Torino, Via P. Giuria 1, 10125 Torino, Italy; TERA Foundation, Novara, Italy. bourhale@to.infn.it
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| pubmed:publicationType |
Journal Article
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