Monte Carlo based IMRT dose verification using MLC log files and R/V outputs (2024)

Luo, W., Li, J., Price, R. A., Chen, L., Yang, J., Fan, J., Chen, Z., McNeeley, S., Xu, X. (2006). Monte Carlo based IMRT dose verification using MLC log files and R/V outputs. Medical Physics, 33(7), 2557-2564. https://doi.org/10.1118/1.2208916

Luo, Wei ; Li, Jinsheng ; Price, Robert A. et al. / Monte Carlo based IMRT dose verification using MLC log files and R/V outputs. In: Medical Physics. 2006 ; Vol. 33, No. 7. pp. 2557-2564.

@article{d92c0af4f7a7428788e2b54db4439985,

title = "Monte Carlo based IMRT dose verification using MLC log files and R/V outputs",

abstract = "Conventional IMRT dose verification using film and ion chamber measurements is useful but limited with respect to the actual dose distribution received by the patient. The Monte Carlo simulation has been introduced as an independent dose verification tool for IMRT using the patient CT data and MLC leaf sequence files, which validates the dose calculation accuracy but not the plan delivery accuracy. In this work, we propose a Monte Carlo based IMRT dose verification method that reconstructs the patient dose distribution using the patient CT, actual beam data based on the information from the record and verify system (R/V), and the MLC log files obtained during dose delivery that record the MLC leaf positions and MUs delivered. Comparing the Monte Carlo dose calculation with the original IMRT plan using these data simultaneously validates the accuracy of both the IMRT dose calculation and beam delivery. Such log file based Monte Carlo simulations are expected to be employed as a useful and efficient IMRT QA modality to validate the dose delivered to the patient. We have run Monte Carlo simulations for eight IMRT prostate plans using this method and the results for the target dose were consistent with the original CORVUS treatment plans to within 3.0% and 2.0% with and without heterogeneity corrections in the dose calculation. However, significant dose deviations in nearby critical structures have been observed. The results showed that up to 9.0% of the bladder dose and up to 38.0% of the rectum dose, to which leaf position errors were found to contribute <2%, were underestimated by the CORVUS treatment planning system. The concept of average leaf position error has been defined to analyze MLC leaf position errors for an IMRT plan. A linear correlation between the target dose error and the average position error has been found based on log file based Monte Carlo simulations, showing that an average position error of 0.2 mm can result in a target dose error of about 1.0%.",

keywords = "Average leaf position error, Dose verification, IMRT quality assurance (QA), Log file based Monte Carlo simulation, MLC log file",

author = "Wei Luo and Jinsheng Li and Price, {Robert A.} and Lili Chen and Jie Yang and Jiajin Fan and Zuoqun Chen and Shawn McNeeley and Xiu Xu and Ma, {Chang Ming}",

year = "2006",

month = jul,

doi = "10.1118/1.2208916",

language = "English",

volume = "33",

pages = "2557--2564",

journal = "Medical Physics",

issn = "0094-2405",

publisher = "John Wiley and Sons Ltd",

number = "7",

}

Luo, W, Li, J, Price, RA, Chen, L, Yang, J, Fan, J, Chen, Z, McNeeley, S, Xu, X 2006, 'Monte Carlo based IMRT dose verification using MLC log files and R/V outputs', Medical Physics, vol. 33, no. 7, pp. 2557-2564. https://doi.org/10.1118/1.2208916

Monte Carlo based IMRT dose verification using MLC log files and R/V outputs. / Luo, Wei; Li, Jinsheng; Price, Robert A. et al.
In: Medical Physics, Vol. 33, No. 7, 07.2006, p. 2557-2564.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Monte Carlo based IMRT dose verification using MLC log files and R/V outputs

AU - Luo, Wei

AU - Li, Jinsheng

AU - Price, Robert A.

AU - Chen, Lili

AU - Yang, Jie

AU - Fan, Jiajin

AU - Chen, Zuoqun

AU - McNeeley, Shawn

AU - Xu, Xiu

AU - Ma, Chang Ming

PY - 2006/7

Y1 - 2006/7

N2 - Conventional IMRT dose verification using film and ion chamber measurements is useful but limited with respect to the actual dose distribution received by the patient. The Monte Carlo simulation has been introduced as an independent dose verification tool for IMRT using the patient CT data and MLC leaf sequence files, which validates the dose calculation accuracy but not the plan delivery accuracy. In this work, we propose a Monte Carlo based IMRT dose verification method that reconstructs the patient dose distribution using the patient CT, actual beam data based on the information from the record and verify system (R/V), and the MLC log files obtained during dose delivery that record the MLC leaf positions and MUs delivered. Comparing the Monte Carlo dose calculation with the original IMRT plan using these data simultaneously validates the accuracy of both the IMRT dose calculation and beam delivery. Such log file based Monte Carlo simulations are expected to be employed as a useful and efficient IMRT QA modality to validate the dose delivered to the patient. We have run Monte Carlo simulations for eight IMRT prostate plans using this method and the results for the target dose were consistent with the original CORVUS treatment plans to within 3.0% and 2.0% with and without heterogeneity corrections in the dose calculation. However, significant dose deviations in nearby critical structures have been observed. The results showed that up to 9.0% of the bladder dose and up to 38.0% of the rectum dose, to which leaf position errors were found to contribute <2%, were underestimated by the CORVUS treatment planning system. The concept of average leaf position error has been defined to analyze MLC leaf position errors for an IMRT plan. A linear correlation between the target dose error and the average position error has been found based on log file based Monte Carlo simulations, showing that an average position error of 0.2 mm can result in a target dose error of about 1.0%.

AB - Conventional IMRT dose verification using film and ion chamber measurements is useful but limited with respect to the actual dose distribution received by the patient. The Monte Carlo simulation has been introduced as an independent dose verification tool for IMRT using the patient CT data and MLC leaf sequence files, which validates the dose calculation accuracy but not the plan delivery accuracy. In this work, we propose a Monte Carlo based IMRT dose verification method that reconstructs the patient dose distribution using the patient CT, actual beam data based on the information from the record and verify system (R/V), and the MLC log files obtained during dose delivery that record the MLC leaf positions and MUs delivered. Comparing the Monte Carlo dose calculation with the original IMRT plan using these data simultaneously validates the accuracy of both the IMRT dose calculation and beam delivery. Such log file based Monte Carlo simulations are expected to be employed as a useful and efficient IMRT QA modality to validate the dose delivered to the patient. We have run Monte Carlo simulations for eight IMRT prostate plans using this method and the results for the target dose were consistent with the original CORVUS treatment plans to within 3.0% and 2.0% with and without heterogeneity corrections in the dose calculation. However, significant dose deviations in nearby critical structures have been observed. The results showed that up to 9.0% of the bladder dose and up to 38.0% of the rectum dose, to which leaf position errors were found to contribute <2%, were underestimated by the CORVUS treatment planning system. The concept of average leaf position error has been defined to analyze MLC leaf position errors for an IMRT plan. A linear correlation between the target dose error and the average position error has been found based on log file based Monte Carlo simulations, showing that an average position error of 0.2 mm can result in a target dose error of about 1.0%.

KW - Average leaf position error

KW - Dose verification

KW - IMRT quality assurance (QA)

KW - Log file based Monte Carlo simulation

KW - MLC log file

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U2 - 10.1118/1.2208916

DO - 10.1118/1.2208916

M3 - Article

C2 - 16898460

SN - 0094-2405

VL - 33

SP - 2557

EP - 2564

JO - Medical Physics

JF - Medical Physics

IS - 7

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Luo W, Li J, Price RA, Chen L, Yang J, Fan J et al. Monte Carlo based IMRT dose verification using MLC log files and R/V outputs. Medical Physics. 2006 Jul;33(7):2557-2564. doi: 10.1118/1.2208916