Simulated study relating dose-volume histogram metrics to three-dimensional gamma analysis results

This study aims to investigate the relationship between the three-dimensional gamma index (3DGI) results and its clinical significance, proposing a correlation between changes in dose values in the dose-volume histogram (DVH) of the evaluated structures and 3DGI percentages of approval. In this study, we created 30 plans by including 1 mm displacement errors in the lateral, vertical, and longitudinal axes of each table, and compared them to a simulated, error-free treatment plan for prostate cancer. The plans were made in a commercial treatment planning system, using 6MV Varian 120-leaf multileaf collimators (MLC) linear accelerators and intensity modulated radiation therapy sliding window technique. We used a calculation algorithm-based MATLAB programming to evaluate the 3DGI analysis of fluence maps. The acceptance criteria were 3%/2 mm, 10% dose threshold, and 95% gamma passing rate. We compared 3DGI results with differences in structures DVH. DVH metrics versus 3DGI analysis showed a correlation between the percentage of point’s approval and planning target volume (PTV) coverage, presenting a degree of agreement of 0.85%, 0.96%, and 0.94% in the longitudinal, lateral, and vertical axes, respectively. In summary, it was possible to establish a linear relationship between the percentage of points approved in the 3DGI analysis and the PTV dose. A similar behavior was also observed in bladder and rectum DVH, but for these structures, the relationship was not the same in the three displaced axes.

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Publication Details

Journal
Advances in Radiotherapy & Nuclear Medicine
Published
2024-11-13
DOI
https://doi.org/10.36922/arnm.4005
Primary Topic
Nuclear Physics and Applications
Type
article
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article

Simulated study relating dose-volume histogram metrics to three-dimensional gamma analysis results

Alexandre Colello Bruno, Oswaldo Baffa, Juliana Fernandes Pavoni, Larisse Neumann Bonatto
Advances in Radiotherapy & Nuclear Medicine
Nuclear Physics and Applications
article

Simulated study relating dose-volume histogram metrics to three-dimensional gamma analysis results

Alexandre Colello Bruno, Oswaldo Baffa, Juliana Fernandes Pavoni, Larisse Neumann Bonatto
article en

Abstract

This study aims to investigate the relationship between the three-dimensional gamma index (3DGI) results and its clinical significance, proposing a correlation between changes in dose values in the dose-volume histogram (DVH) of the evaluated structures and 3DGI percentages of approval. In this study, we created 30 plans by including 1 mm displacement errors in the lateral, vertical, and longitudinal axes of each table, and compared them to a simulated, error-free treatment plan for prostate cancer. The plans were made in a commercial treatment planning system, using 6MV Varian 120-leaf multileaf collimators (MLC) linear accelerators and intensity modulated radiation therapy sliding window technique. We used a calculation algorithm-based MATLAB programming to evaluate the 3DGI analysis of fluence maps. The acceptance criteria were 3%/2 mm, 10% dose threshold, and 95% gamma passing rate. We compared 3DGI results with differences in structures DVH. DVH metrics versus 3DGI analysis showed a correlation between the percentage of point’s approval and planning target volume (PTV) coverage, presenting a degree of agreement of 0.85%, 0.96%, and 0.94% in the longitudinal, lateral, and vertical axes, respectively. In summary, it was possible to establish a linear relationship between the percentage of points approved in the 3DGI analysis and the PTV dose. A similar behavior was also observed in bladder and rectum DVH, but for these structures, the relationship was not the same in the three displaced axes.

Advances in Radiotherapy & Nuclear MedicineVol. 2(4)
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Simulated study relating dose-volume histogram metrics to three-dimensional gamma analysis results — Alexandre Colello Bruno, Oswaldo Baffa, et al. · Advances in Radiotherapy & Nuclear Medicine (2024) | TGRS Research Map | TGRS