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 ORIGINAL ARTICLE
Year : 2016  |  Volume : 53  |  Issue : 1  |  Page : 158-161

Influence of monte carlo variance with fluence smoothing in VMAT treatment planning with Monaco TPS


1 Department of Radiation Oncology, AMRI Hospitals, Kolkata, India
2 Department of Radiation Oncology, Narayana Hrudayala, Bangalore, India
3 Chemical Sciences Division, Saha Institute of Nuclear physics, Kolkata, India
4 Department of Radiation Oncology, Fortis Memorial Research Institute, Gurgaon, Haryana, India
5 Department of Radiation Oncology, Guntur Medical College, Andhra Pradesh, India

Correspondence Address:
B Sarkar
Department of Radiation Oncology, AMRI Hospitals, Kolkata
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0019-509X.180820

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Introduction: The study aimed to investigate the interplay between Monte Carlo Variance (MCV) and fluence smoothing factor (FSF) in volumetric modulated arc therapy treatment planning by using a sample set of complex treatment planning cases and a X-ray Voxel Monte Carlo–based treatment planning system equipped with tools to tune fluence smoothness as well as MCV. Materials and Methods: The dosimetric (dose to tumor volume, and organ at risk) and physical characteristic (treatment time, number of segments, and so on) of a set 45 treatment plans for all combinations of 1%, 3%, 5% MCV and 1, 3, 5 FSF were evaluated for five carcinoma esophagus cases under the study. Result: Increase in FSF reduce the treatment time. Variation of MCV and FSF gives a highest planning target volume (PTV), heart and lung dose variation of 3.6%, 12.8% and 4.3%, respectively. The heart dose variation was highest among all organs at risk. Highest variation of spinal cord dose was 0.6 Gy. Conclusion: Variation of MCV and FSF influences the organ at risk (OAR) doses significantly but not PTV coverage and dose homogeneity. Variation in FSF causes difference in dosimetric and physical parameters for the treatment plans but variation of MCV does not. MCV 3% or less do not improve the plan quality significantly (physical and clinical) compared with MCV greater than 3%. The use of MCV between 3% and 5% gives similar results as 1% with lesser calculation time. Minimally detected differences in plan quality suggest that the optimum FSF can be set between 3 and 5.






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