TU-FF-A1-04: Benchmarking a Flexible Monte Carlo (MC) Tool Based On the Dose Planning Method (DPM) for Use in Evaluating IMRT Treatment Planning Systems

2007 ◽  
Vol 34 (6Part19) ◽  
pp. 2574-2575
Author(s):  
S Davidson ◽  
J Cui ◽  
D Followill ◽  
G Ibbott ◽  
J Deasy
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Planning Method ◽  
Planning Systems ◽  
Treatment Planning Systems ◽  
Dose Planning

scholarly journals Dose calculation accuracy for photon small fields in treatment planning systems with comparison by Monte Carlo simulations

2021 ◽  
Vol 27 (3) ◽  
pp. 181-190
Author(s):  
Mojtaba Abazarfard ◽  
Payam Azadeh ◽  
Ahmad Mostaar
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Dose Calculation ◽  
Planning Systems ◽  
Treatment Planning Systems ◽  
Calculation Algorithms ◽  
Dose Calculation Algorithms ◽  
Small Fields ◽  
Mc Simulation ◽  
Mean Differences

Abstract Purpose: Advanced radiation therapy techniques use small fields in treatment planning and delivery. Small fields have the advantage of more accurate dose delivery, but with the cost of some complications in dosimetry. Different dose calculation algorithms imported in various treatment planning systems (TPSs) which each of them has different accuracy. Monte Carlo (MC) simulation has been reported as one of the accurate methods for calculating dose distribution in radiation therapy. The aim of this study was the evaluation of TPS dose calculation algorithms in small fields against 2 MC codes. Methods: A linac head was simulated in 2 MC codes, MCNPX, and GATE. Then three small fields (0.5×0.5, 1×1 and 1.5×1.5 cm2) were simulated with 2 MC codes, and also these fields were planned with different dose calculation algorithms in Isogray and Monaco TPS. PDDs and lateral dose profiles were extracted and compared between MC simulations and dose calculation algorithms. Results: For 0.5×0.5 cm2 field mean differences in PDDs with MCNPX were 2.28, 4.6, 5.3, and 7.4% and with GATE were -0.29, 2.3, 3 and 5% for CCC, superposition, FFT and Clarkson algorithms respectively. For 1×1 cm2 field mean differences in PDDs with MCNPX were 1.58, 0.6, 1.1 and 1.4% and with GATE were 0.77, 0.1, 0.6 and 0.9% for CCC, superposition, FFT and Clarkson algorithms respectively. For 1.5×1.5 cm2 field mean differences in PDDs with MCNPX were 0.82, 0.4, 0.6 and -0.4% and with GATE were 2.38, 2.5, 2.7 and 1.7% for CCC, superposition, FFT and Clarkson algorithms respectively. Conclusions: Different dose calculation algorithms were evaluated and compared with MC simulation in small fields. Mean differences with MC simulation decreased with the increase of field sizes for all algorithms.

scholarly journals Intensity modulated radiotherapy using Monte Carlo for routine postmastectomy radiotherapy

2012 ◽  
Vol 18 (2) ◽  
pp. 49-58
Author(s):  
Hiba Baha Eldin Sayed Omer
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Intensity Modulated Radiotherapy ◽  
Response To Therapy ◽  
Planning System ◽  
Treatment Planning System ◽  
Planning Systems ◽  
Dose Volume Histograms ◽  
Intensity Modulated ◽  
Treatment Planning Systems

Radiotherapy given after mastectomy (PMRT) will reduce the risk of local recurrence by about two-thirds. Clinical and dosimetric trials were carried out using various techniques to optimize the treatments by maximizing the dose to the tumour and minimizing it to the healthy tissues at proximity. Different conventional techniques which have been studied suffer from important dose inhomogeneities due to the complex anatomy of the chest, which reduces the benefits from such treatments. Moreover, due to the heterogeneity of breast cancer, the response to therapy and a systematic approach to treatment cannot be derived and treatment regimens must be determined on a patient-by-patient basis. This is only possible if accurate and fast treatment planning systems are available. Intensity Modulated Radiotherapy (IMRT) allows delivering higher doses to the target volume and limits the doses to the surrounding tissues. The objective of this study is to test the feasibility of applying a Monte Carlo-based treatment planning system, Hyperion accurately in routine Intensity Modulated Radiotherapy (IMRT) postmastectomy. In order to use a treatment planning system for routine work it should prove to provide optimized dose delivery in a suitable time. Treatment planning for IMRT application to PMRT was performed using Hyperion. Constraints were set to deliver the prescribed dose to the target and minimize the dose to the organs at risk. Dose Volume Histograms (DVH) were used to evaluate the set up plans. Time taken to optimize the plan was measured. The target coverage was within the accepted values. Approximately 90% of the breast and 80% of the PTV received 45 Gy or above. The volume of the lung that received 40Gy was less than 10% and the volume that received 20Gy (V20) was less than 25%. The volume of the heart receiving 30 Gy (V30) or above was negligible. This indicates low NTCP of these organs. The time taken for optimization, showed it possible to apply Monte Carlo-based treatment-planning systems for patient-to-patient PMRT.

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