2011
DOI: 10.1088/0031-9155/56/20/n03
|View full text |Cite
|
Sign up to set email alerts
|

Direct impact analysis of multi-leaf collimator leaf position errors on dose distributions in volumetric modulated arc therapy: a pass rate calculation between measured planar doses with and without the position errors

Abstract: We propose a new method for analyzing the direct impact of multi-leaf collimator (MLC) leaf position errors on dose distributions in volumetric modulated arc therapy (VMAT). The technique makes use of the following processes. Systematic leaf position errors are generated by directly changing a leaf offset in a linac controller; dose distributions are measured by a two-dimensional diode array; pass rates of the dose difference between measured planar doses with and without the position errors are calculated as … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
35
0
1

Year Published

2012
2012
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 39 publications
(36 citation statements)
references
References 13 publications
0
35
0
1
Order By: Relevance
“…35,36,42 Previous studies have reported on several types of MLC errors to observe their impact on patient dose distributions. In this study, a systematic shift in one leaf bank was sufficient to make a clear comparison between the two techniques, 39 but is not the most significant type of MLC error as shown in previous studies, e.g., both leaf banks open. 37,38,42 Large variability in sensitivity to MLC errors (D mean ) between cases was not seen as compared to a previous study.…”
Section: Discussionmentioning
confidence: 49%
See 1 more Smart Citation
“…35,36,42 Previous studies have reported on several types of MLC errors to observe their impact on patient dose distributions. In this study, a systematic shift in one leaf bank was sufficient to make a clear comparison between the two techniques, 39 but is not the most significant type of MLC error as shown in previous studies, e.g., both leaf banks open. 37,38,42 Large variability in sensitivity to MLC errors (D mean ) between cases was not seen as compared to a previous study.…”
Section: Discussionmentioning
confidence: 49%
“…They suggest that to create plans that are robust against MLC errors, the total MU should be minimized and MLC gaps should be as large as possible without sacrificing plan quality. Tatsumi et al 39 used three different treatment planning systems to create VMAT plans for five prostate cases and tested pass rates when systematic MLC leaf positions errors were introduced directly into the linac controller. They found that the impact of leaf position errors on dose distributions depended upon the final optimization result from each planning system due to a correlation between dose error and average leaf gap width.…”
Section: Introductionmentioning
confidence: 99%
“…The detection sensitivity of MLC leaf positioning shifts has been studied with different devices 18, 19, 20, 21, 22. Yan et al 18.…”
Section: Discussionmentioning
confidence: 99%
“…conducted a sensitivity study with both ionization chamber and diode 2D array devices for prostate and head and neck VMAT delivery, and suggested Gamma index of 2%/2 mm with passing rate greater than 90% was necessary to detect leaf positioning shifts of 1 mm on both MLC banks. Unlike other studies mentioned above, which were based on planar doses comparison between measurement and calculation, Tatsumi et al 22. proposed a direct method for evaluating the impact of the leaf positioning shifts on dose distribution for prostate VMAT delivery by comparing the measured planar doses with and without shifts.…”
Section: Discussionmentioning
confidence: 99%
“…The real-time correlation between these parameters is inevitable during VMAT delivery because any variation generates a potential error [4]. The MLC plays a vital role in VMAT delivery and, thus, any error in the MLC position creates an over-or under-dose during treatment [5]. Considerable differences also exist between the optimization processes of VMAT and IMRT, which complicates VMAT plans.…”
Section: Introductionmentioning
confidence: 99%