Still equivalent for dose calculation in the Monte Carlo era? A comparison of free breathing and average intensity projection CT datasets for lung SBRT using three generations of dose calculation algorithms

2017 ◽  
Vol 44 (5) ◽  
pp. 1939-1947 ◽  
Author(s):  
Kristina Zvolanek ◽  
Rongtao Ma ◽  
Christina Zhou ◽  
Xiaoying Liang ◽  
Shuo Wang ◽  
...  
2021 ◽  
Author(s):  
Zhangkai Cheng ◽  
Regina Bromley ◽  
Brad Oborn ◽  
Jeremy Booth

BACKGROUND Despite spinal metastases accounting for 10% to 30% of new tumors diagnoses annually, and radiation therapy is a standard treatment technique, the studies discussing the effects of small-size spinal prostheses on spinal radiation therapy are limited. OBJECTIVE To compare the accuracies of the AAA and AcurosXB dose calculation algorithms and to predict the change in the down-stream and lateral dose deposition of high energy photons in the presence of material with densities higher that commonly found in the body. METHODS Metal rods of titanium (d =4.5g/m2), stainless steel (d=8g/cm2) and tungsten (d=19.25 g/cm2) were positioned in a phantom. Film was position behind and laterally to the rods to measure the dose distribution for a 6 MV, 18 MV and 10 FFF photon beams. A DOSXYZnrc Monte Carlo simulation of the experimental setup was performed The AAA and AcurosXB dose calculation algorithms were used to predict the dose distributions. The dose from film and DOSXYZnrc were compared with the dose predicted by AAA and AcurosXB. RESULTS AAA overestimated the dose behind the rods by 15-25% and underestimated the dose laterally to the rods by 5-15% depending on the range of materials and energies investigated. AcurosXB overestimated the dose behind the rods by 1-18% and underestimated the dose laterally to the rods by up to 5% depending on the range of material and energies investigated. CONCLUSIONS AAA cannot deliver clinically acceptable dose calculation results at a distance less than 10 mm from metals, for a single field treatment. Acuros XB is able to handle metals of low atomic numbers (Z ≤ 26), but not tungsten (Z = 74). This can be due to the restriction of the CT-density table in EclipseTM TPS, which has an upper HU limit of 10501.


2007 ◽  
Vol 52 (5) ◽  
pp. 1363-1385 ◽  
Author(s):  
Antonella Fogliata ◽  
Eugenio Vanetti ◽  
Dirk Albers ◽  
Carsten Brink ◽  
Alessandro Clivio ◽  
...  

2016 ◽  
Vol 43 (6Part24) ◽  
pp. 3629-3629
Author(s):  
J. Rosenfield ◽  
X. Yang ◽  
X. Dong ◽  
E. Elder ◽  
K. Higgins ◽  
...  

2017 ◽  
Vol 18 (2) ◽  
pp. 26-36 ◽  
Author(s):  
Chirasak Khamfongkhruea ◽  
Sangutid Thongsawad ◽  
Chirapha Tannanonta ◽  
Sasikarn Chamchod

2014 ◽  
Vol 13 (4) ◽  
pp. 447-455 ◽  
Author(s):  
K. Tanha ◽  
S. R. Mahdavi ◽  
G. Geraily

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 beams.ResultsDose distribution findings showed significant difference between ETAR and CCC of delivered dose in pituitary irradiation. The differences between MC and dose calculation algorithms were 6.40 ± 3.44% for CCC and 10.36 ± 4.37% for ETAR. None of the algorithms could predict actual dose in air cavity areas in comparison to the MC method.ConclusionsDifference between calculation and true dose value affects radiation treatment outcome and normal tissue complication probability. It is of prime concern to select appropriate treatment planning system according to our clinical situation. It is further emphasised that MC can be the method of choice for clinical dose calculation algorithms verification.


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