Literature DB >> 27146769

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

B Sarkar1, A Manikandan, M Nandy, A Munshi, P Sayan, N Sujatha.   

Abstract

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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Year:  2016        PMID: 27146769     DOI: 10.4103/0019-509X.180820

Source DB:  PubMed          Journal:  Indian J Cancer        ISSN: 0019-509X            Impact factor:   1.224


  3 in total

1.  Interplay effect modeling in stereotactic body radiotherapy treatment of liver cancer using volumetric modulated arc therapy.

Authors:  Deepak Thaper; Arun S Oinam; Rose Kamal; Gaganpreet Singh; Bhumika Handa; Vivek Kumar; Hanuman P Yadav
Journal:  Phys Eng Sci Med       Date:  2021-02-04

2.  Dosimetric impact of statistical uncertainty on Monte Carlo dose calculation algorithm in volumetric modulated arc therapy using Monaco TPS for three different clinical cases.

Authors:  Mohandass Palanisamy; Khanna David; Manigandan Durai; Narendra Bhalla; Abhishek Puri
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-18

3.  Dosimetric comparison of dynamic conformal arc integrated with segment shape optimization and variable dose rate versus volumetric modulated arc therapy for liver SBRT.

Authors:  Deepak Thaper; Rose Kamal; Gaganpreet Singh; Arun S Oinam; Hanuman P Yadav; Rishabh Kumar; Vivek Kumar
Journal:  Rep Pract Oncol Radiother       Date:  2020-05-20
  3 in total

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