AI Article Synopsis

  • - This study investigates how variations in multi-leaf collimator (MLC) position errors affect the γ passing rate of intensity-modulated radiation therapy (IMRT) plans, specifically in relation to the complexity of those plans.
  • - Twenty patients were included in the study, creating two types of IMRT plans, and MLC errors ranging from 0.3 mm to 1 mm were analyzed using a dose distribution comparison method and gamma analysis.
  • - Results showed a strong linear correlation between plan complexity and susceptibility to MLC errors, indicating that more complex plans face greater risks from these errors, regardless of the technique used for plan delivery.

Article Abstract

Purpose: This study evaluates the correlation between the susceptibility of the γ passing rate of IMRT plans to the multi-leaf collimator (MLC) position errors and a quantitative plan complexity metric.

Methods: Twenty patients were selected for this study. For each patient, two IMRT plans were generated using sliding window and step-&-shoot techniques, respectively. Modulation complexity score (MCS) was calculated for all IMRT plans, and symmetric MLC leaf bank errors, ranging from 0.3 mm to 1 mm, were introduced. Original and modified plans were delivered using Varian's Clinac iX. The obtained dose distribution using ArcCHECK was then compared with the TPS calculated dose distribution of the original plans. 3D gamma analysis was performed for each verification with passing criteria of 2%/2 mm. The γ passing rate decreasing gradient were calculated to evaluate relationship between variation of γ passing rate due to MLC errors and complexity.

Results: A linear regression analysis was applied between γ gradient and complexity, and the results showed a linear correlation (R = 0.81 and 0.82 for open and closed MLC error types, respectively) indicating the more complex plans are more susceptible to MLC leaf bank errors. Meanwhile, correlation of re-normalized γ passing rate and complexity for all errors scenarios also presented a strong correlation (r > 0.75).

Conclusion: The statistics results revealed variation relationship of dosimetry robust of plans with various complexities to MLC errors. Our results also suggested that the observed susceptibility is independent of the delivery techniques.

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Source
http://dx.doi.org/10.1016/j.ejmp.2018.03.003DOI Listing

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