virtual phantom
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2021 ◽  
Vol 161 ◽  
pp. S1320-S1321
Author(s):  
J. Calvo-Ortega ◽  
P.B. Greer ◽  
S. Moragues-Femenía ◽  
C. Laosa-Bello ◽  
J. Casals-Farran

2021 ◽  
Vol 161 ◽  
pp. S1319-S1320
Author(s):  
J. Calvo-Ortega ◽  
P.B. Greer ◽  
S. Moragues-Femenia ◽  
C. Laosa-Bello ◽  
J. Casals-Farran

2019 ◽  
Vol 1248 ◽  
pp. 012042
Author(s):  
H S Soh ◽  
K A Langmack ◽  
P S Morgan ◽  
A C Perkins

Author(s):  
T Raj Verma ◽  
N Kumar Painuly ◽  
S Prasad Mishra ◽  
S A Yoganathan ◽  
N Singh ◽  
...  

Background: The dosimetric parameters required in lung cancer radiation therapy are taken from a homogeneous water phantom; however, during treatment, the expected results are being affected because of its inhomogeneity. Therefore, it becomes necessary to quantify these deviations.Objective: The present study has been undertaken to find out inter- and intra- lung density variations and its dosimetric impact on lung cancer radiotherapy using Monte Carlo code FLUKA and PBC algorithms.Material and Methods: Density of 100 lungs was recorded from their CT images along with age. Then, after PDD calculated by FLUKA MC Code and PBC algorithm for virtual phantom having density 0.2 gm/cm3 and 0.4 gm/cm3 (density range obtained from CT images of 100 lungs) using Co-60 10 x10 cm2 beams were compared.Results: Average left and right lung densities were 0.275±0.387 and 0.270±0.383 respectively. The deviation in PBC calculated PDD were (+)216%, (+91%), (+)45%, (+)26.88%, (+)14%, (-)1%, (+)2%, (-)0.4%, (-)1%, (+)1%, (+)4%, (+)4.5% for 0.4 gm/cm3 and (+)311%, (+)177%, (+)118%, (+)90.95%, (+)72.23%, (+)55.83% ,(+)38.85%, (+)28.80%, (+)21.79%, (+)15.95%, (+)1.67%, (-) 2.13%, (+)1.27%, (+)0.35%, (-)1.79%, (-)2.75% for 0.2 gm/cm3 density mediums at depths of 1mm, 2mm, 3mm, 4mm, 5mm, 6 mm, 7 mm, 8mm, 9mm,10mm, 15mm, 30mm, 40mm, 50mm, 80mm and 100 mm, respectively.Conclusion: Large variations in inter- and intra- lung density were recorded. PBC overestimated the dose at air/lung interface as well as inside lung. The results of Monte Carlo simulation can be used to assess the performance of other treatment planning systems used in lung cancer radiotherapy. 


2019 ◽  
Author(s):  
Jose Rafael Nicolielly Leal ◽  
Eugenio Torres Garcia ◽  
Noé Chávez Aguilera ◽  
Carlos Alberto Rodriguez

2018 ◽  
Vol 49 (4) ◽  
pp. 369-380
Author(s):  
Jie Liu ◽  
Ahmad Karfoul ◽  
Longyu Jiang ◽  
Huazhong Shu ◽  
Hervé Saint-Jalmes ◽  
...  

2017 ◽  
Vol 45 (1) ◽  
pp. 250-257 ◽  
Author(s):  
Hervé Saint-Jalmes ◽  
Alejandro Bordelois ◽  
Giulio Gambarota

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