Browse > Article
http://dx.doi.org/10.14316/pmp.2021.32.4.99

Dosimetric Study Using Patient-Specific Three-Dimensional-Printed Head Phantom with Polymer Gel in Radiation Therapy  

Choi, Yona (Research Team of Radiological Physics & Engineering, Korea Institute of Radiological and Medical Science)
Chun, Kook Jin (Department of Accelerator Science, Korea University)
Kim, Eun San (Department of Accelerator Science, Korea University)
Jang, Young Jae (Research Team of Radiological Physics & Engineering, Korea Institute of Radiological and Medical Science)
Park, Ji-Ae (Division of Applied RI, Korea Institute of Radiological and Medical Science)
Kim, Kum Bae (Research Team of Radiological Physics & Engineering, Korea Institute of Radiological and Medical Science)
Kim, Geun Hee (Division of Applied Radiation Bioscience, Korea Institute of Radiological and Medical Science)
Choi, Sang Hyoun (Research Team of Radiological Physics & Engineering, Korea Institute of Radiological and Medical Science)
Publication Information
Progress in Medical Physics / v.32, no.4, 2021 , pp. 99-106 More about this Journal
Abstract
Purpose: In this study, we aimed to manufacture a patient-specific gel phantom combining three-dimensional (3D) printing and polymer gel and evaluate the radiation dose and dose profile using gel dosimetry. Methods: The patient-specific head phantom was manufactured based on the patient's computed tomography (CT) scan data to create an anatomically replicated phantom; this was then produced using a ColorJet 3D printer. A 3D polymer gel dosimeter called RTgel-100 is contained inside the 3D printing head phantom, and irradiation was performed using a 6 MV LINAC (Varian Clinac) X-ray beam, a linear accelerator for treatment. The irradiated phantom was scanned using magnetic resonance imaging (Siemens) with a magnetic field of 3 Tesla (3T) of the Korea Institute of Nuclear Medicine, and then compared the irradiated head phantom with the dose calculated by the patient's treatment planning system (TPS). Results: The comparison between the Hounsfield unit (HU) values of the CT image of the patient and those of the phantom revealed that they were almost similar. The electron density value of the patient's bone and brain was 996±167 HU and 58±15 HU, respectively, and that of the head phantom bone and brain material was 986±25 HU and 45±17 HU, respectively. The comparison of the data of TPS and 3D gel revealed that the difference in gamma index was 2%/2 mm and the passing rate was within 95%. Conclusions: 3D printing allows us to manufacture variable density phantoms for patient-specific dosimetric quality assurance (DQA), develop a customized body phantom of the patient in the future, and perform a patient-specific dosimetry with film, ion chamber, gel, and so on.
Keywords
Polymer gel; Computed tomography; Magnetic resonance imaging; Treatment planning system; 3D printing;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Ezzell GA, Galvin JM, Low D, Palta JR, Rosen I, Sharpe MB, et al. Guidance document on delivery, treatment planning, and clinical implementation of IMRT: report of the IMRT Subcommittee of the AAPM Radiation Therapy Committee. Med Phys. 2003;30:2089-2115.   DOI
2 Chin LS, Regine WF. Principles and practice of stereotactic radiosurgery. New York: Springer Science+Business Media; 2010.
3 Park HJ, Griffin RJ, Hui S, Levitt SH, Song CW. Radiation-induced vascular damage in tumors: implications of vascular damage in ablative hypofractionated radiotherapy (SBRT and SRS). Radiat Res. 2012;177:311-327.   DOI
4 Gigliotti MJ, Hasan S, Liang Y, Chen D, Fuhrer R, Wegner RE. A 10-year experience of linear accelerator-based stereotactic radiosurgery/radiotherapy (SRS/SRT) for paraganglioma: a single institution experience and review of the literature. J Radiosurg SBRT. 2018;5:183-190.
5 Kry SF, Molineu A, Kerns JR, Faught AM, Huang JY, Pulliam KB, et al. Institutional patient-specific IMRT QA does not predict unacceptable plan delivery. Int J Radiat Oncol Biol Phys. 2014;90:1195-1201.   DOI
6 Hillman Y, Kim J, Chetty I, Wen N. Refinement of MLC modeling improves commercial QA dosimetry system for SRS and SBRT patient-specific QA. Med Phys. 2018;45:1351-1359.   DOI
7 Eidi T, Aghamiri SMR, Jaberi R, Baghani HR. On measuring the 3D dose distribution for notched and circular Ru106 plaque shapes through Gafchromic film dosimetry approach. Radiat Phys Chem. 2022;190:109792.   DOI
8 Kim JS, Park BR, Yoo J, Ha WH, Jang S, Jang WI, et al. Measurement uncertainty analysis of radiophotoluminescent glass dosimeter reader system based on GD-352M for estimation of protection quantity. Nucl Eng Technol. 2021. doi: 10.1016/j.net.2021.08.016.   DOI
9 Molazadeh M, Robatjazi M, Geraily G, Rezaeejam H, Zeinali A, Shirazi A. Three-dimensional IMRT QA of Monte Carlo and full scatter convolution algorithms based on 3D film dosimetry. Radiat Phys Chem. 2021;186:109528.   DOI
10 Choi JW, Choi JY, Kim BC, Joo KK. Feasibility study of a portable and fast spatial dosimeter using an alcohol-based liquid scintillator and a digital camera. J Korean Phys Soc. 2021;79:810-817.   DOI
11 Silveira MA, Pavoni JF, Baffa O. Three-dimensional quality assurance of IMRT prostate plans using gel dosimetry. Phys Med. 2017;34:1-6.   DOI
12 Perez P, Torres PR, Bruna A, Brunetto M, Aon E, Franco D, et al. Fricke gel xylenol orange dosimeter layers for stereotactic radiosurgery: a preliminary approach. Appl Radiat Isot. 2021;178:109936.   DOI
13 Lee M, Noh S, Yoon KJ, Lee SW, Yoon SM, Jung J, et al. Feasibility study of polymer gel dosimetry using a 3D printed phantom for liver cancer radiotherapy. J Korean Phys Soc. 2020;76:453-457.   DOI
14 Matrosic CK, Holmes S, Bednarz B, Culberson W. Evaluation of a clinical dose accumulation algorithm using deformable gel dosimetry. J Phys Conf Ser. 2019;1305:012002.   DOI
15 Baldock C, De Deene Y, Doran S, Ibbott G, Jirasek A, Lepage M, et al. Polymer gel dosimetry. Phys Med Biol. 2010;55:R1-R63.   DOI
16 Hebb AO, Poliakov AV. Imaging of deep brain stimulation leads using extended Hounsfield unit CT. Stereotact Funct Neurosurg. 2009;87:155-160.   DOI