English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/180680
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Accurate, robust and harmonized implementation of morpho-functional imaging in treatment planning for personalized radiotherapy

AuthorsJiménez Ortega, Elisa; Ureba, Ana; Baeza, José Antonio; Barbeiro, Ana Rita; Balcerzyk, Marcin ; Parrado-Gallego, Ángel; Wals-Zurita, Amadeo; García Gómez, Francisco J.; Leal, Antonio
Issue Date9-Jan-2019
PublisherPublic Library of Science
CitationPLoS ONE 14(1): e0210549 (2019)
AbstractIn this work we present a methodology able to use harmonized PET/CT imaging in dose painting by number (DPBN) approach by means of a robust and accurate treatment planning system. Image processing and treatment planning were performed by using a Matlab-based platform, called CARMEN, in which a full Monte Carlo simulation is included. Linear programming formulation was developed for a voxel-by-voxel robust optimization and a specific direct aperture optimization was designed for an efficient adaptive radiotherapy implementation. DPBN approach with our methodology was tested to reduce the uncertainties associated with both, the absolute value and the relative value of the information in the functional image. For the same H&N case, a single robust treatment was planned for dose prescription maps corresponding to standardized uptake value distributions from two different image reconstruction protocols: One to fulfill EARL accreditation for harmonization of [18F]FDG PET/CT image, and the other one to use the highest available spatial resolution. Also, a robust treatment was planned to fulfill dose prescription maps corresponding to both approaches, the dose painting by contour based on volumes and our voxel-by-voxel DPBN. Adaptive planning was also carried out to check the suitability of our proposal. Different plans showed robustness to cover a range of scenarios for implementation of harmonizing strategies by using the highest available resolution. Also, robustness associated to discretization level of dose prescription according to the use of contours or numbers was achieved. All plans showed excellent quality index histogram and quality factors below 2%. Efficient solution for adaptive radiotherapy based directly on changes in functional image was obtained. We proved that by using voxel-by-voxel DPBN approach it is possible to overcome typical drawbacks linked to PET/CT images, providing to the clinical specialist confidence enough for routinely implementation of functional imaging for personalized radiotherapy.
Publisher version (URL)https://doi.org/10.1371/journal.pone.0210549
URIhttp://hdl.handle.net/10261/180680
DOI10.1371/journal.pone.0210549
E-ISSN1932-6203
Appears in Collections:(IBIS) Artículos
Files in This Item:
File Description SizeFormat 
journal.pone.0210549.pdf2,02 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.