• Currently nan/5
  • 1
  • 1
  • 2
  • 2
  • 3
  • 3
  • 4
  • 4
  • 5
  • 5

Rating: nan/5 (0 votes cast)

Authors Institution
SAMIR DIDI REGIONAL ONCOLOGY CENTRE OF MEKNES
Theme
Medical Physics
Comparison study of dose calculation algorithms for treatment planning system in Radiotherapy
Background

The purpose of this study is to compare dosimetric results obtained by using the superposition, convolution and rapid superposition algorithms in three-dimensional conformational radiotherapy (RCT-3D) for different locations and to study the pertinence of the algorithms in each type of location.

Summary of Work

Twelve patients of three different locations, including the cavum, lung and prostate, were analysed. The treatment plans were prepared by using the XiO treatment planning system (TPS) available at the Regional Oncology Center of Meknes. The statistical analysis was performed by comparing the minimum (Dmin), maximum (Dmax) and mean (Dmoy) doses and the coverage (CI), homogeneity (IH) and tumour volume conformation (ICVT) indices of tumour volumes, and thus, the tolerance of organs at risk (OARs).

figure

Summary of Results

For the target volumes, there were statistically significant differences in the case of cavum for Dmax in favour of the Fast Superposition algorithm and for HI in favour of the Superposition and Fast Superposition algorithms, in the case of lung for Dmax in favour of the Fast Superposition algorithm and for HI in favour of the Superposition and Convolution algorithms, and in the case of prostate for Dmin in favour of the Fast Superposition algorithm and for CI in favour of the Superposition and Convolution algorithms. For OARs, statistically significant differences were found in the cases of cavum and lung in favour of the Convolution algorithm, and in the case of prostate in favour of the Superposition algorithm.

figure 2

Conclusion

Based on this study, it was found that the Overlay algorithm resulted in a more homogeneous dose distribution in the cavum and lung, better coverage of tumour volume and minimal dose to organs at risk in the prostate. The Convolution algorithm resulted in the most homogeneous dose distribution and better coverage of tumour volume in the case of the lung, and a minimum dose for organs at risk in the case of the cavum and lung. And the Fast Superposition algorithm resulted in a minimum dose closest to the prescribed dose for the prostate, a maximum dose closest to the prescribed dose for the cavum and lung, and the most homogeneous dose distribution for the cavum.

 

Designed & Managed by Innovative Technology®
Background
Summary of Work
Summary of Results
Conclusion
Send ePoster Link