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1.
Cancer Radiother ; 23(4): 281-289, 2019 Jul.
Artigo em Francês | MEDLINE | ID: mdl-31151816

RESUMO

PURPOSE: Magnetic resonance imaging (MRI) plays an increasing role in radiotherapy dose planning. Indeed, MRI offers superior soft tissue contrast compared to computerized tomography (CT) and therefore could provide a better delineation of target volumes and organs at risk than CT for radiotherapy. Furthermore, an MRI-only radiotherapy workflow would suppress registration errors inherent to the registration of MRI with CT. However, the estimation of the electronic density of tissues using MRI images is still a challenging issue. The purpose of this work was to design and evaluate a pseudo-CT generation method for prostate cancer treatments. MATERIALS AND METHODS: A pseudo-CT was generated for ten prostate cancer patients using an elastic deformation based method. For each patient, dose delivered to the patient was calculated using both the planning CT and the pseudo-CT. Dose differences between CT and pseudo-CT were investigated. RESULTS: Mean dose relative difference in the planning target volume is 0.9% on average and ranges from 0.1% to 1.7%. In organs at risks, this value is 1.8%, 0.8%, 0.8% and 1% on average in the rectum, the right and left femoral heads, and the bladder respectively. CONCLUSION: The dose calculated using the pseudo-CT is very close to the dose calculated using the CT for both organs at risk and PTV. These results confirm that pseudo-CT images generated using the proposed method could be used to calculate radiotherapy treatment doses on MRI images.


Assuntos
Imageamento por Ressonância Magnética , Neoplasias da Próstata/diagnóstico por imagem , Neoplasias da Próstata/radioterapia , Planejamento da Radioterapia Assistida por Computador , Idoso , Idoso de 80 Anos ou mais , Humanos , Masculino , Pessoa de Meia-Idade , Órgãos em Risco , Dosagem Radioterapêutica , Tomografia Computadorizada por Raios X
2.
Phys Med ; 42: 332-338, 2017 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-28526235

RESUMO

Using magnetic resonance imaging (MRI) as the sole imaging modality for patient modeling in radiation therapy (RT) is a challenging task due to the need to derive electron density information from MRI and construct a so-called pseudo-computed tomography (pCT) image. We have previously published a new method to derive pCT images from head T1-weighted (T1-w) MR images using a single-atlas propagation scheme followed by a post hoc correction of the mapped CT numbers using local intensity information. The purpose of this study was to investigate the performance of our method with head zero echo time (ZTE) MR images. To evaluate results, the mean absolute error in bins of 20 HU was calculated with respect to the true planning CT scan of the patient. We demonstrated that applying our method using ZTE MR images instead of T1-w improved the correctness of the pCT in case of bone resection surgery prior to RT (that is, an example of large anatomical difference between the atlas and the patient).


Assuntos
Neoplasias Encefálicas/diagnóstico por imagem , Neoplasias Encefálicas/radioterapia , Imageamento por Ressonância Magnética/métodos , Radioterapia Guiada por Imagem/métodos , Algoritmos , Atlas como Assunto , Encéfalo/diagnóstico por imagem , Encéfalo/efeitos da radiação , Encéfalo/cirurgia , Neoplasias Encefálicas/cirurgia , Humanos , Planejamento da Radioterapia Assistida por Computador/métodos , Software , Tomografia Computadorizada por Raios X
3.
Phys Med ; 32(10): 1225-1237, 2016 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-27659008

RESUMO

PURPOSE: The main focus of the current paper is the clinical implementation of a Monte Carlo based platform for treatment plan validation for Tomotherapy and Cyberknife, without adding additional tasks to the dosimetry department. METHODS: The Monte Carlo platform consists of C++ classes for the actual functionality and a web based GUI that allows accessing the system using a web browser. Calculations are based on BEAMnrc/DOSXYZnrc and/or GATE and are performed automatically after exporting the dicom data from the treatment planning system. For Cyberknife treatments of moving targets, the log files saved during the treatment (position of robot, internal fiducials and external markers) can be used in combination with the 4D planning CT to reconstruct the actually delivered dose. The Monte Carlo platform is also used for calculation on MRI images, using pseudo-CT conversion. RESULTS: For Tomotherapy treatments we obtain an excellent agreement (within 2%) for almost all cases. However, we have been able to detect a problem regarding the CT Hounsfield units definition of the Toshiba Large Bore CT when using a large reconstruction diameter. For Cyberknife treatments we obtain an excellent agreement with the Monte Carlo algorithm of the treatment planning system. For some extreme cases, when treating small lung lesions in low density lung tissue, small differences are obtained due to the different cut-off energy of the secondary electrons. CONCLUSIONS: A Monte Carlo based treatment plan validation tool has successfully been implemented in clinical routine and is used to systematically validate all Cyberknife and Tomotherapy plans.


Assuntos
Radiocirurgia/estatística & dados numéricos , Radiocirurgia/normas , Planejamento da Radioterapia Assistida por Computador/estatística & dados numéricos , Planejamento da Radioterapia Assistida por Computador/normas , Radioterapia de Intensidade Modulada/estatística & dados numéricos , Radioterapia de Intensidade Modulada/normas , Algoritmos , Fenômenos Biofísicos , Simulação por Computador , Feminino , Tomografia Computadorizada Quadridimensional , Humanos , Imageamento por Ressonância Magnética , Masculino , Método de Monte Carlo , Controle de Qualidade , Dosagem Radioterapêutica , Software
4.
Cancer Radiother ; 19(5): 303-7, 2015 Aug.
Artigo em Francês | MEDLINE | ID: mdl-26206733

RESUMO

PURPOSE: This work evaluated the interobserver variability in cone beam computed tomography (CBCT) registration for prostate cancers treated with intensity-modulated radiotherapy. MATERIAL AND METHODS: Twelve technologists realized 286 CBCT/CT registrations (bone registration followed by prostate to prostate registration). The registration results were compared to those obtained by two radiation oncologists (reference). Each technologist reported the shifts calculated by the software in all three axes. A statistical analysis allowed us to calculate the minimum threshold under which 95% of the observers found similar values. A variance analysis followed by the post hoc test were used to find differences in interobserver registration variability and determine whether any individual users performed registrations which differed significantly from those of the other users. RESULTS: The registration differences compared to the reference in the three directions in terms of 95th percentile are: 2.1mm left-right, 3.5mm target-gun, 7.3mm anterior-posterior. In the posterior direction, 4% of the observers have found differences superior to 8mm, margin used in routine without the use of a daily CBCT. The variance test revealed a P-value <0.05 only for target-gun and for all observers there was no significant difference compared to the reference. CONCLUSION: This study confirmed the interest of a 3D tissue registration for prostate treatments. The registration study showed a good interobserver reproducibility. This showed the importance of a daily CBCT/CT registration in prostate treatment with the possibility of a planning target volume margin reduction in the three directions. An evaluation of a partial delegation of registration to technologists should be done by the radiation oncologists.


Assuntos
Tomografia Computadorizada de Feixe Cônico , Neoplasias da Próstata/diagnóstico por imagem , Neoplasias da Próstata/radioterapia , Radioterapia Guiada por Imagem/métodos , Radioterapia de Intensidade Modulada , Adenocarcinoma/diagnóstico por imagem , Adenocarcinoma/radioterapia , Fracionamento da Dose de Radiação , Humanos , Imageamento Tridimensional , Masculino , Variações Dependentes do Observador , Radioterapia de Intensidade Modulada/métodos
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