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Artigos de revistas sobre o tema "Radiation Monte Carlo method. Head Neck"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 1 de fevereiro de 2022

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1

van Eeden, Déte, and Freek C. P. du Plessis. "Hybrid Monte Carlo source model: Advantages and deficiencies." Polish Journal of Medical Physics and Engineering 24, no. 2 (2018): 65–74. http://dx.doi.org/10.2478/pjmpe-2018-0009.

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Abstract Monte Carlo (MC) simulation is the gold standard for dose calculation. An accurate mathematical source model can be used for the radiation beams. Source models can consist of sub-sources or fewer sources with data that need to be measured. This can speed up treatment plan verification without the need for a full simulation of the radiation treatment machine. Aims: This study aimed to construct a novel hybrid source model for 6 MV photon beams for an Elekta Synergy accelerator and to commission it against measured beam data and treatments plans. Methods and Material: The model comprise

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Yuan, Jiankui, Yiran Zheng, Barry Wessels, et al. "Experimental Validation of Monte Carlo Simulations Based on a Virtual Source Model for TomoTherapy in a RANDO Phantom." Technology in Cancer Research & Treatment 15, no. 6 (2016): 796–804. http://dx.doi.org/10.1177/1533034615605007.

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A virtual source model for Monte Carlo simulations of helical TomoTherapy has been developed previously by the authors. The purpose of this work is to perform experiments in an anthropomorphic (RANDO) phantom with the same order of complexity as in clinical treatments to validate the virtual source model to be used for quality assurance secondary check on TomoTherapy patient planning dose. Helical TomoTherapy involves complex delivery pattern with irregular beam apertures and couch movement during irradiation. Monte Carlo simulation, as the most accurate dose algorithm, is desirable in radiati

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3

Oanh, Luong Thi, Duong Thanh Tai, Hoang Duc Tuan, and Truong Thi Hong Loan. "Verifying the accuracy of 3D-CRT dose distributions calculated by the Prowess Panther treatment planning system (TPS) with Monte Carlo (MC) simulation for head-and-neck (H&N) patients." Science and Technology Development Journal - Natural Sciences 3, no. 2 (2019): 90–99. http://dx.doi.org/10.32508/stdjns.v3i2.518.

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The purpose of this study is to verify and compare the three Dimensional Conformal Radiation Therapy (3D-CRT) dose distributions calculated by the Prowess Panther treatment planning system (TPS) with Monte Carlo (MC) simulation for head-and-neck (H&N) patients. In this study, we used the EGSnrc Monte Carlo code which includes BEAMnrc and DOSXYZnrc programs. Firstly, the clinical 6 MV photon beams form Siemens Primus linear accelerator at Dong Nai General Hospital were simulated using the BEAMnrc. Secondly, the absorbed dose to patients treated by 3D-CRT was computed using the DOSXYZnrc. Fi

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Лисовская, А., A. Lisovskaya, А. Логинова, et al. "Evaluation of the Dose Index using Cone-Beam Computed Tomography for Pediatric Patients." Medical Radiology and radiation safety 63, no. 6 (2018): 65–70. http://dx.doi.org/10.12737/article_5c0e7486915d55.10064971.

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Purpose: Cone-beam computed tomography (CBCT) is an indispensable procedure for accurate patient positioning during radiation therapy (RT) in many clinical cases. However, the patients get an additional dose using CBCT. This dose is neither therapeutic nor diagnostic. It is very difficult to obtain the reliable information about the dose distribution within the patient using the CBCT. Despite this, there is a need to control the additional dose for the pediatric patients and reduce it. There are different approaches of imaging dose evaluation. Most accurate methods are based on the Monte-Carlo

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Alber, M., M. Birkner, A. Bakai, et al. "Routine use of Monte Carlo dose computation for head and neck IMRT optimization." International Journal of Radiation Oncology*Biology*Physics 57, no. 2 (2003): S208. http://dx.doi.org/10.1016/s0360-3016(03)01016-2.

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Sakthi, Nirmal, Paul Keall, Ivaylo Mihaylov, et al. "Monte Carlo–based dosimetry of head-and-neck patients treated with SIB-IMRT." International Journal of Radiation Oncology*Biology*Physics 64, no. 3 (2006): 968–77. http://dx.doi.org/10.1016/j.ijrobp.2005.09.049.

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Sarkar, Vikren, Sotirios Stathakis, and Nikos Papanikolaou. "A Monte Carlo Model for Independent Dose Verification in Serial Tomotherapy." Technology in Cancer Research & Treatment 7, no. 5 (2008): 385–91. http://dx.doi.org/10.1177/153303460800700506.

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Due to the very high complexity of IMRT treatment plans, it is imperative to perform dose verification, preferably before patient delivery. The aim of this project is to develop a Monte-Carlo-based model to verify the final dose distributions of plans developed using the Peacock system (CORVUS Treatment Planning System and MIMiC collimator). The system delivers radiation through arc therapy and uses sinogram files to determine the state of each of the multileaf collimator leaves. In-house software was developed using Matlab to decode the sinograms and create blocklets that are used as input in

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Zhang, Ying, Yuanming Feng, Xin Ming, and Jun Deng. "Energy Modulated Photon Radiotherapy: A Monte Carlo Feasibility Study." BioMed Research International 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/7319843.

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A novel treatment modality termed energy modulated photon radiotherapy (EMXRT) was investigated. The first step of EMXRT was to determine beam energy for each gantry angle/anatomy configuration from a pool of photon energy beams (2 to 10 MV) with a newly developed energy selector. An inverse planning system using gradient search algorithm was then employed to optimize photon beam intensity of various beam energies based on presimulated Monte Carlo pencil beam dose distributions in patient anatomy. Finally, 3D dose distributions in six patients of different tumor sites were simulated with Monte

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9

Chow, James C. L., and Amir M. Owrangi. "Dependences of mucosal dose on photon beams in head-and-neck intensity-modulated radiation therapy: a Monte Carlo study." Medical Dosimetry 37, no. 2 (2012): 195–200. http://dx.doi.org/10.1016/j.meddos.2011.07.002.

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Oktajianto, Hammam, and Evi Setiawati. "MONTE CARLO SIMULATION IN INTERNAL RADIOTHERAPY OF THYROID CANCER." International Journal of Engineering Technologies and Management Research 3, no. 9 (2020): 16–24. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.669.

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Thyroid radiotherapy is a cancer therapy that is treated by giving radioactive I-131 in Thyroid gland. This cancer is at the ninth from ten of common malignant cancer. A man has higher risk to get Thyroid cancer than a woman has. This organ is lain near human neck. This research aim was to simulate particle track of radiation I-131 and determine an absorbed dose and effective dose in Thyroid and other organs around Thyroid such as Brain, Lung and Cervical vertebrae. The simulation and calculation used Monte Carlo method operated by MCNPX software. Geometry of Thyroid and other organs used ORNL

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Petoukhova, A. L., R. G. J. Wiggenraad, P. J. M. van de Vaart, et al. "Evaluation and Implementation of iPlan RT Monte Carlo Dose Algorithm for Head and Neck and Lung Cancer Patients." International Journal of Radiation Oncology*Biology*Physics 75, no. 3 (2009): S674. http://dx.doi.org/10.1016/j.ijrobp.2009.07.1539.

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Benhalouchen, S., J. Bert, D. Visvikis, O. Pradier, and N. Boussion. "Imaging and radiation therapy: Gate Monte Carlo simulation of a MV-CBCT flat panel with specific application in head and neck cancer." Physica Medica 29 (June 2013): e22-e23. http://dx.doi.org/10.1016/j.ejmp.2013.08.072.

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Papadopoulos, K., G. Siltzovalis, M. I. Savva, et al. "An improved method to determine neutron fluence in high energy medical accelerators using activation detectors." HNPS Proceedings 26 (April 1, 2019): 239. http://dx.doi.org/10.12681/hnps.1830.

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Scope of the present work was to test the hypothesis that a generic simulation geometry can adequately describe a high energy medical accelerator head for the purpose of estimating the parasitic neutron fluence levels at the position of the isocenter. The experiment was performed using an Elekta Synergy 18 MV linear accelerator. Gold, cobalt, indium and copper activation foils were used. Activation measurements were performed using a calibrated HPGe detector based spectrometry system. Four generic accelerator head models were considered. Neutron spectrum averaged cross-section data for each fo

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14

Beebe-Wang, Joanne, Avraham Dilmanian, Stephen Peggs, David Schlyer, and Paul Vaska. "Pet imaging of dose distribution in proton-beam cancer therapy." Nuclear Technology and Radiation Protection 20, no. 1 (2005): 23–26. http://dx.doi.org/10.2298/ntrp0501023b.

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Proton therapy is a treatment modality of increasing utility in clinical radiation oncology mostly because its dose distribution conforms more tightly to the target volume than X-ray radiation therapy. One important feature of proton therapy is that it produces a small amount of positron-emitting isotopes along the beam-path through the non-elastic nuclear interaction of protons with target nuclei such as 12C, 14N, and 16O. These radio isotopes, mainly 11C, 13N, and 15O, al low imaging the therapy dose distribution using positron emission tomography. The resulting positron emission tomography

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15

Tanha, K., S. R. Mahdavi, and G. Geraily. "Comparison of CCC and ETAR dose calculation algorithms in pituitary adenoma radiation treatment planning; Monte Carlo evaluation." Journal of Radiotherapy in Practice 13, no. 4 (2014): 447–55. http://dx.doi.org/10.1017/s1460396914000211.

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AbstractAimsTo verify the accuracy of two common absorbed dose calculation algorithms in comparison to Monte Carlo (MC) simulation for the planning of the pituitary adenoma radiation treatment.Materials and methodsAfter validation of Linac's head modelling by MC in water phantom, it was verified in Rando phantom as a heterogeneous medium for pituitary gland irradiation. Then, equivalent tissue-air ratio (ETAR) and collapsed cone convolution (CCC) algorithms were compared for a conventional three small non-coplanar field technique. This technique uses 30 degree physical wedge and 18 MV photon b

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16

Iwata, Hiromitsu, Toshiyuki Toshito, Kensuke Hayashi, et al. "Proton therapy for non-squamous cell carcinoma of the head and neck: planning comparison and toxicity." Journal of Radiation Research 60, no. 5 (2019): 612–21. http://dx.doi.org/10.1093/jrr/rrz036.

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Abstract To investigate optimal treatment planning using proton beams for non-squamous cell carcinoma of the head and neck (NSCHN), the dose distributions of plans involving pencil beam scanning (PBS) with or without a patient-specific aperture system (PSAS), passive-scattering proton therapy (PSPT) and X-ray intensity-modulated radiotherapy (IMRT) were compared. As clinical results, toxicities of PBS with PSAS, including changes in quality of life, were reported. Between April 2014 and August 2016, a total of 30 patients were treated using PBS with PSAS. In 20 patients selected at random, the

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Clausen, Monika, Suphalak Khachonkham, Sylvia Gruber, et al. "Phantom design and dosimetric characterization for multiple simultaneous cell irradiations with active pencil beam scanning." Radiation and Environmental Biophysics 58, no. 4 (2019): 563–73. http://dx.doi.org/10.1007/s00411-019-00813-1.

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Abstract A new phantom was designed for in vitro studies on cell lines in horizontal particle beams. The phantom enables simultaneous irradiation at multiple positions along the beam path. The main purpose of this study was the detailed dosimetric characterization of the phantom which consists of various heterogeneous structures. The dosimetric measurements described here were performed under non-reference conditions. The experiment involved a CT scan of the phantom, dose calculations performed with the treatment planning system (TPS) RayStation employing both the Pencil Beam (PB) and Monte Ca

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Benhalouche, S., J. Bert, D. Visvikis, O. Pradier, and B. Nicolas. "SU-E-J-44: Imaging and Radiation Therapy: GATE Monte Carlo Simulation of a MV-CBCT Flat Panel with Specific Application in Head and Neck Cancer." Medical Physics 40, no. 6Part7 (2013): 159. http://dx.doi.org/10.1118/1.4814256.

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Benhalouche, S., J. Bert, D. Visvikis, O. Pradier, and B. Nicolas. "SU-E-J-181: Imaging and Radiation Therapy: GATE Monte Carlo Simulation of a MV-CBCT Flat Panel with Specific Application in Head and Neck Cancer." Medical Physics 40, no. 6Part9 (2013): 193. http://dx.doi.org/10.1118/1.4814393.

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Anderson, N. J., M. Wada, C. Lawford, and M. Rolfo. "Utilizing Biological Cost Functions and Monte Carlo Algorithms in Head and Neck IMRT Planning to Improve Organ at Risk Sparing in Biologic Target Volume Dose Escalation." International Journal of Radiation Oncology*Biology*Physics 75, no. 3 (2009): S398. http://dx.doi.org/10.1016/j.ijrobp.2009.07.912.

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Manabe, Kentaro, and Shuji Koyama. "ORGAN ABSORBED DOSE ESTIMATION REFLECTING SPECIFIC ORGAN MASSES WITH SIMPLE SCALING OF REFERENCE DOSES USING THE ORGAN MASSES." Radiation Protection Dosimetry 189, no. 4 (2020): 489–96. http://dx.doi.org/10.1093/rpd/ncaa058.

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Abstract Estimating organ absorbed doses in consideration of person-specific parameters is important for radiation protection in diagnostic nuclear medicine. This study proposes a straightforward method for estimating the organ dose that reflects a specific organ mass by scaling the reference organ dose using the inverse ratio of the specific organ mass to the reference organ mass. For the administration of radiopharmaceuticals labelled by 99mTc or 123I, the organ doses for the liver, spleen, red marrow and thyroid obtained by the method were compared with those generated by a Monte Carlo simu

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22

Chow, James C. L., and Amir M. Owrangi. "Monte Carlo study on mucosal dose in oral and naval cavity using photon beams with small field." Journal of Radiotherapy in Practice 10, no. 4 (2011): 261–71. http://dx.doi.org/10.1017/s1460396910000427.

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AbstractWe study how mucosal dose in the oral or nasal cavity depends on the irradiated small segmental photon fields varying with beam energy, beam angle and mucosa thickness. Dose ratio (mucosal dose with bone underneath to dose at the same point without bone) reflecting the dose enhancement due to the bone backscatter was determined by Monte Carlo simulation (EGSnrc-based code), validated by measurements. Phase space files based on the 6 and 18 MV photon beams with small field size of 1 × 1 cm2, produced by a Varian 21 EX linear accelerator, were generated using the BEAMnrc Monte Carlo code

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23

Ploquin, N., H. Lau, and P. Dunscombe. "Intensity Modulated and Three-Dimensional Conformal Radiation Therapy Plans for Oropharyngeal Cancer: A Comparison of Their Sensitivity to Set-Up Errors and Uncertainties." Current Oncology 13, no. 2 (2006): 61–66. http://dx.doi.org/10.3390/curroncol13020005.

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We compared the effect of set-up error and uncertainty on two radiation therapy treatment plans for head and neck cancer: one using intensity modulated radiation therapy (IMRT) and one using conventional three-dimensional conformal radiation therapy (3D-CRT). We used a Pinnacle3 (Philips Medical Systems, Markham, Ontario) system to create the two treatment plans (7-beam IMRT and 5-beam 3D-CRT) for the same volumetric data set, based on the objectives and constraints defined in the Radiation Therapy Oncology Group H-0022 protocol. In both plans, the dose–volume constraints for the targets and t

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Behinaein, Sepideh, Ernest Osei, Johnson Darko, Paule Charland, and Dylan Bassi. "Evaluating small field dosimetry with the Acuros XB (AXB) and analytical anisotropic algorithm (AAA) dose calculation algorithms in the eclipse treatment planning system." Journal of Radiotherapy in Practice 18, no. 4 (2019): 353–64. http://dx.doi.org/10.1017/s1460396919000104.

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AbstractBackground:An increasing number of external beam treatment modalities including intensity modulated radiation therapy, volumetric modulated arc therapy (VMAT) and stereotactic radiosurgery uses very small fields for treatment planning and delivery. However, there are major challenges in small photon field dosimetry, due to the partial occlusion of the direct photon beam source’s view from the measurement point, lack of lateral charged particle equilibrium, steep dose-rate gradient and volume averaging effect of the detector response and variation of the energy fluence in the lateral di

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Leão, Reginaldo Gonçalves, Rômulo Verdolin de Sousa, Arno Heeren de Oliveira, Hugo Lemos Leonardo Silva, and Arnaldo Prata Mourão. "Computational analysis of 'Dose/Collision Kerma' relationship and lateral boundary in Stereotatic circular fields using EGSnrc." Revista Brasileira de Física Médica 10, no. 1 (2017): 2. http://dx.doi.org/10.29384/rbfm.2016.v10.n1.p2-8.

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Objectives: This work aimed to obtain data from small fields of X-rays that evidence of the hypotheses cited as cause of difficulties for the dosimetry of these. For this purpose, the verification of compatibility between the dosimetric boundary of field and the geometric size of field, was performed. Also was made, the verification of kerma dose according to the expected relationship for conventional fields. Materials and Methods: Computer simulations of smaller fields 5x5 cm² were performed using the Monte Carlo method by egs_chamber application, this derived from EGSnrc radiation transport

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Jeon, Byoungil, Junha Kim, Eunjoong Lee, Myungkook Moon, and Gyuseong Cho. "Pseudo-Gamma Spectroscopy Based on Plastic Scintillation Detectors Using Multitask Learning." Sensors 21, no. 3 (2021): 684. http://dx.doi.org/10.3390/s21030684.

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Although plastic scintillation detectors possess poor spectroscopic characteristics, they are extensively used in various fields for radiation measurement. Several methods have been proposed to facilitate their application of plastic scintillation detectors for spectroscopic measurement. However, most of these detectors can only be used for identifying radioisotopes. In this study, we present a multitask model for pseudo-gamma spectroscopy based on a plastic scintillation detector. A deep- learning model is implemented using multitask learning and trained through supervised learning. Eight gam

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Seif, F., M. R. Bayatiani, S. Hamidi, and M. Kargaran. "Investigating the Effect of Air Cavities of Sinuses on the Radiotherapy Dose Distribution Using Monte Carlo Method." Journal of Biomedical Physics and Engineering 9, no. 1Feb (2019). http://dx.doi.org/10.31661/jbpe.v0i0.1046.

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Background: Considering that some vital organs exist in the head and neck region, the treatment of tumors in this area is a crucial task. The existence of air cavities, namely sinuses, disrupt the radiotherapy dose distribution. The study aims to analyze the effect of maxillary, frontal, ethmoid and sphenoid sinuses on radiotherapy dose distribution by Monte Carlo method.Materials and Methods: In order to analyze the effect of the cavities on dose distribution, the maxillary, frontal, ethmoid and sphenoid sinus cavities were simulated with (3×3.2×2) cm3, (2×2×3.2) cm3, (1×1×1.2) cm3 and(1×1×2)

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Seif, F., M. R. Bayatiani, S. Hamidi, and M. Kargaran. "Investigating the Effect of Air Cavities of Sinuses on the Radiotherapy Dose Distribution Using Monte Carlo Method." Journal of Biomedical Physics and Engineering 9, no. 1Feb (2019). http://dx.doi.org/10.31661/jbpe.v9i1feb.1046.

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Background: Considering that some vital organs exist in the head and neck region, the treatment of tumors in this area is a crucial task. The existence of air cavities, namely sinuses, disrupt the radiotherapy dose distribution. The study aims to analyze the effect of maxillary, frontal, ethmoid and sphenoid sinuses on radiotherapy dose distribution by Monte Carlo method.Materials and Methods: In order to analyze the effect of the cavities on dose distribution, the maxillary, frontal, ethmoid and sphenoid sinus cavities were simulated with (3×3.2×2) cm3, (2×2×3.2) cm3, (1×1×1.2) cm3 and(1×1×2)

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Kueng, Reto, Daniel Frei, Werner Volken, et al. "Adaptive step size algorithm to increase efficiency of proton macro Monte Carlo dose calculation." Radiation Oncology 14, no. 1 (2019). http://dx.doi.org/10.1186/s13014-019-1362-5.

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Abstract Purpose To provide fast and accurate dose calculation in voxelized geometries for proton radiation therapy by implementing an adaptive step size algorithm in the proton macro Monte Carlo (pMMC) method. Methods The in-house developed local-to-global MMC method for proton dose calculation is extended with an adaptive step size algorithm for efficient proton transport through a voxelized geometry by sampling transport parameters from a pre-simulated database. Adaptive choice of an adequate slab size in dependence of material interfaces in the proton’s longitudinal and lateral vicinity is

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Del Nero, Renata Aline, Marcos Vinicius Nakaoka Nakandakari, and Hélio Yoriyaz. "Validating a virtual source model based in Monte Carlo method for profiles and percent depth doses calculation." Brazilian Journal of Radiation Sciences 7, no. 2A (2019). http://dx.doi.org/10.15392/bjrs.v7i2a.689.

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The Monte Carlo method for radiation transport has been adapted for medical physics application. More specifically, it has received more attention in clinical treatment planning with the development of more efficient computer simulation techniques. In linear accelerator modeling by the Monte Carlo method, the phase space data file (phsp) is an alternative representation for radiation source. However, to create a phase space file and obtain good precision in the results, it is necessary detailed information about the accelerator's head and commonly the supplier does not provide all the necessar

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Dowlatabadi, H., A. A. Mowlavi, M. Ghorbani, S. Mohammadi, and F. Akbari. "Benchmarking of Siemens Linac in Electron Modes: 8-14 MeV Electron Beams." Journal of Biomedical Physics and Engineering 8, no. 2 (2018). http://dx.doi.org/10.31661/jbpe.v8i2.806.

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Introduction: Radiation therapy using electron beams is a promising method due to its physical dose distribution. Monte Carlo (MC) code is the best and most accurate technique for forespeaking the distribution of dose in radiation treatment of patients.Materials and Methods: We report an MC simulation of a linac head and depth dose on central axis, along with profile calculations. The purpose of the present research is to carefully analyze the application of MC methods for the calculation of dosimetric parameters for electron beams with energies of 8–14 MeV at a Siemens Primus linac. The princ

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Kim, Jinwoo, and Ho Kyung Kim. "A Novel Method for Estimating Patient-Specific Primary dose in Cone-Beam Computed Tomography." Radiation Protection Dosimetry, September 6, 2021. http://dx.doi.org/10.1093/rpd/ncab128.

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Abstract For the purpose of real-time scan-protocol optimisation and patient-specific dose management in cone-beam computed tomography, we introduce a numerical algorithm that estimates the primary dose distributions in reconstructed images. The proposed algorithm is based on the ray-tracing technique and utilises reconstructed voxel data and scanning protocol. The algorithm is validated with the Monte Carlo (MC) and conventional model-based dose reconstruction methods for the simple cylindrical water and anthropomorphic head phantoms. The algorithm shows good agreement with both methods in te

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"Assessment of the Radiation Dose during 16 Slices CT Examinations." International Journal of Recent Technology and Engineering 8, no. 4 (2019): 4652–57. http://dx.doi.org/10.35940/ijrte.d8388.118419.

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In this work. Two studies were presented. The first one is an experimental study of the influence of different scan parameters (potential tube. current tube and pitch) on the radiation dose is presented. It has been demonstrated that the radiation dose increases if we increase the tube current or the potential current. Contrary to the pitch. the radiation dose is reduced when the pitch increases. The second study is a Monte Carlo validation of a CT named SOMATION emotion from Siemens using GATE. Results were carried out for different voltage 80.110.130 kVp. Results of the simulation are presen

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Forster, Jake C., Michael J. J. Douglass, Wendy M. Phillips, and Eva Bezak. "Stochastic multicellular modeling of x-ray irradiation, DNA damage induction, DNA free-end misrejoining and cell death." Scientific Reports 9, no. 1 (2019). http://dx.doi.org/10.1038/s41598-019-54941-1.

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AbstractThe repair or misrepair of DNA double-strand breaks (DSBs) largely determines whether a cell will survive radiation insult or die. A new computational model of multicellular, track structure-based and pO2-dependent radiation-induced cell death was developed and used to investigate the contribution to cell killing by the mechanism of DNA free-end misrejoining for low-LET radiation. A simulated tumor of 1224 squamous cells was irradiated with 6 MV x-rays using the Monte Carlo toolkit Geant4 with low-energy Geant4-DNA physics and chemistry modules up to a uniform dose of 1 Gy. DNA damage

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