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Quality Assurance of Leaf Speed for Dynamic Multileaf Collimator (MLC) Using Dynalog Files  

Kim, Joo Seob (Department of Radiation Oncology, Gangneung Asan Hospital)
Ahn, Woo Sang (Department of Radiation Oncology, Gangneung Asan Hospital)
Lee, Woo Suk (Department of Radiation Oncology, Gangneung Asan Hospital)
Park, Sung Ho (Department of Radiation Oncology, Gangneung Asan Hospital)
Choi, Wonsik (Department of Radiation Oncology, Gangneung Asan Hospital)
Shin, Seong Soo (Department of Radiation Oncology, Gangneung Asan Hospital)
Publication Information
The Journal of Korean Society for Radiation Therapy / v.26, no.2, 2014 , pp. 305-312 More about this Journal
Abstract
Purpose : The purpose of this study is to analyze the mechanical and leaf speed accuracy of the dynamic multileaf collimator (DMLC) and determine the appropriate period of quality assurance (QA). Materials and Methods : The quality assurance of the DMLC equipped with Millennium 120 leaves has been performed total 92 times from January 2012 to June 2014. The the accuracy of leaf position and isocenter coincidence for MLC were checked using the graph paper and Gafchromic EBT film, respectively. The stability of leaf speed was verified using a test file requiring the leaves to reach maximum leaf speed during the gantry rotation. At the end of every leaf speed QA, dynamic dynalog files created by MLC controller were analyzed using dynalog file viewer software. This file concludes the information about the planned versus actual position for all leaves and provides error RMS (root-mean square) for individual leaf deviations and error histogram for all leaf deviations. In this study, the data obtained from the leaf speed QA were used to screen the performance degradation of leaf speed and determine the need for motor replacement. Results : The leaf position accuracy and isocenteric coincidence of MLC was observed within a tolerance range recommanded from TG-142 reports. Total number of motor replacement were 56 motors over whole QA period. For all motors replaced from QA, gradually increased patterns of error RMS values were much more than suddenly increased patterns of error RMS values. Average error RMS values of gradually and suddenly increased patterns were 0.298 cm and 0.273 cm, respectively. However, The average error RMS values were within 0.35 cm recommended by the vendor, motors were replaced according to the criteria of no counts with misplacement > 1 cm. On average, motor replacement for gradually increased patterns of error RMS values 22 days. 28 motors were replaced regardless of the leaf speed QA. Conclusion : This study performed the periodic MLC QA for analyzing the mechanical and leaf speed accuracy of the dynamic multileaf collimator (DMLC). The leaf position accuracy and isocenteric coincidence showed whthin of MLC evaluation is observed within the tolerance value recommanded by TG-142 report. Based on the result obtained from leaf speed QA, we have concluded that QA protocol of leaf speed for DMLC was performed at least bimonthly in order to screen the performance of leaf speed. The periodic QA protocol can help to ensure for delivering accurate IMRT treatment to patients maintaining the performance of leaf speed.
Keywords
multileaf collimator (MLC); leaf speed accuracy; dynalog file; quality assurance (QA);
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1 안우상, 조병철: 세기변조방사선치료의 Commissioning 및 정도관리: AAPM TG119 적용, 의학물리 2011;22(2):99-105.
2 김용배, 서창옥: 방사선치료의 진화: 고정밀방사선치료, 대한의사협회 2008;51(7):605-607
3 Khan FM: The Physics of Radiation Therapy. 4th ed. Philadelphia: Lippincott Williams & Wilkins, Baltimore 2010;413-429.
4 Klein EE, Hanley J, Bayouth J. et al.: Task Group 142 report: Quality assurance of medical accelerators. Med Phys. 2009;36(9):4197-4212.   DOI   ScienceOn
5 T. Losasso: IMRT delivery performance with a varian multileaf collimator. Int. J. Radiat. Oncol., Biol., Phys. 2008;71:S85-S88.   DOI   ScienceOn
6 Chui CS, Spirou S, Losasso T: Testting of dynamic multileaf collimation. Med Phys. 1996;23:635-41.   DOI   ScienceOn
7 Anup K Bhardwaj, TS Kehwar, SK Chakarvarti, et al.: Dosimetric and qualitative analysis of kinetic properties of MLC for IMRT, J Cancer Res. Ther. 2007;3(1):24.
8 이 석, 이병용, 조정길 등: 전자포털영상장치(EPID)를 이용한 선형가속기의 기하학적인 QC/QA, 의학물리 1997;8(2):59-62.
9 원자력안전위원회 방사선안전과: 의료분야의 방사선안 전관리에 관한 기술기준 일부개정안, 2014년 10월 10일;26-28.
10 Daniel A. Low, Jean M. Moran, James F. Dempsey, et al.: Dosimetry tools and techniques for IMRT. Med. Phys. 2011;38(3):1321-1323.
11 Jurgen Besserer, Stadtspital Triemli Zurich, Luca Cozzi, et al.: Quality control for Intensity-modulated radiation therapy, Swiss Society for Radiobiology and Medical Physics. 2007;15:5-6.
12 박소연, 박양균, 박종민 등: 세기변조방사선치료의 정도 관리를 위한 모니터유닛 공간분포 재구성의 효용성 평가, 방사선방어학회지. 2011;36(1):29.
13 Varian MLCs & BrainLAB m3 customer acceptance procedure, CAP [customer support]. Palo Alto (CA): Varian Medical Systems; May 2007.