|
|
Research progress of patient-specific organ doses from CT |
WANG Chuyan1, ZHUO Weihai1, LIN Xin1, LU Heqing2, XIE Tianwu1, LIU Haikuan1 |
1. Institute of Radiation Medicine, Fudan University, Shanghai 200032, China; 2. Department of Medical Equipment, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China |
|
|
Abstract The radiation risk caused by CT examination is of great concern. Organ dose is considered to be the most significant technical parameter for quantifying the patient radiation dose and assessing the corresponding risk. At present, the methods to obtain patient organ dose caused by CT examination mainly include physical phantom measurement, direct human body measurement, dose conversion coefficient, Monte Carlo simulation, and dose calculation software. Although different methods have their own characteristics and application, the individualization of organ dose is always the goal of radiation protection and dosimetry research. Patient-specific phantom developed with artificial intelligence and GPU-accelerated Monte Carlo simulation make it possible to calculate the patient-specific organ dose, and the patient-specific organ dose extrapolated by the CT detector signal provides a new solution.
|
Received: 24 May 2022
|
|
|
|
|
[1] United Nations Scientific Committee on the Effects of Atomic Radiation. Sources, effects and risks of ionizing radiation[R]. New York: United Nations, 2022. [2] Yao J, Gao LF, Qian AJ, et al. Survey on frequency of medical X-ray diagnosis in Shanghai[J]. Chin J Radiol Med Prot, 2019, 39(5): 370-375. DOI: 10.3760/cma.j.issn.0254-5098.2019.05.009 [3] 高林峰, 姚杰, 郑钧正, 等. 上海市2007年X射线诊断的医疗照射应用频率及其分布[J]. 环境与职业医学,2009,26(6):532-536. DOI: 10.13213/j.cnki.jeom.2009.06.029 Gao LF, Yao J, Zheng JZ, et al. Frequency levels and distribution of medical exposure of diagnostic X-ray procedures in 2007 in Shanghai[J]. J Environ Occup Med, 2009, 26(6): 532-536. DOI: 10.13213/j.cnki.jeom.2009.06.029 [4] Mettler FA Jr, Mahesh M, Bhargavan-Chatfield M, et al. Patient exposure from radiologic and nuclear medicine procedures in the United States: procedure volume and effective dose for the period 2006-2016[J]. Radiology, 2020, 295(2): 418-427. DOI: 10.1148/radiol.2020192256 [5] Damilakis J. CT dosimetry: what has been achieved and what remains to be done[J]. Invest Radiol, 2021, 56(1): 62-68. DOI: 10.1097/rli.0000000000000727 [6] Abalo KD, Rage E, Leuraud K, et al. Correction to: early life ionizing radiation exposure and cancer risks: systematic review and meta-analysis[J]. Pediatr Radiol, 2021, 51(1): 157-158. DOI: 10.1007/s00247-020-04883-y [7] Bundesamt für Strahlenschutz. X-ray diagnostics: frequency and radiation exposure of the German population[EB/OL]. (2022-04-14). https://www.bfs.de/EN/topics/ion/medicine/diagnostics/x-rays/frequency-exposure.html. [8] 陈湃韩, 陈慧峰, 邹剑明. 低剂量电离辐射长期接触健康效应研究进展[J]. 中国辐射卫生,2022,31(1):99-104. DOI: 10.13491/j.issn.1004-714X.2022.01.018 Chen PH, Chen HF, Zou JM. Research progress in health effects of long-term exposure to low-dose ionizing radiation[J]. Chin J Radiol Health, 2022, 31(1): 99-104. DOI: 10.13491/j.issn.1004-714X.2022.01.018 [9] de Gonzalez AB, Daniels RD, Cardis E, et al. Epidemiological studies of low-dose ionizing radiation and cancer: rationale and framework for the monograph and overview of eligible studies[J]. J Natl Cancer Inst Monogr, 2020, 2020(56): 97-113. DOI: 10.1093/jncimonographs/lgaa009 [10] Hong JY, Han K, Jung JH, et al. Association of exposure to diagnostic low-dose ionizing radiation with risk of cancer among youths in South Korea[J]. JAMA Network Open, 2019, 2(9): e1910584. DOI: 10.1001/jamanetworkopen.2019.10584 [11] 高宇, 苏垠平, 孙全富. 低剂量电离辐射致眼晶状体混浊机制及遗传易感性研究现状[J]. 中国辐射卫生,2022,31(1):124-128. DOI: 10.13491/j.issn.1004-714X.2022.01.022 Gao Y, Su YP, Sun QF. A research review of mechanism and genetic susceptibility of lens opacity induced by low-dose ionizing radiation[J]. Chin J Radiol Health, 2022, 31(1): 124-128. DOI: 10.13491/j.issn.1004-714X.2022.01.022 [12] Lee C. A review of organ dose calculation tools for patients undergoing computed tomography scans[J]. J Radiat Prot Res, 2021, 46(4): 151-159. DOI: 10.14407/jrpr.2021.00136 [13] Gao YM, Mahmood U, Liu TY, et al. Patient-specific organ and effective dose estimates in adult oncologic CT[J]. Am J Roentgenol, 2020, 214(4): 738-746. DOI: 10.2214/ajr.19.21197 [14] Xu XG. An exponential growth of computational phantom research in radiation protection, imaging, and radiotherapy: a review of the fifty-year history[J]. Phys Med Biol, 2014, 59(18): R233-R302. DOI: 10.1088/0031-9155/59/18/r233 [15] 潘秋秋, 黄丽华, 冯丫娟, 等. 光致光与热释光剂量计部分性能比较[J]. 中国辐射卫生,2019,28(3):318-320. DOI: 10.13491/j.issn.1004-714X.2019.03.027 Pan QQ, Huang LH, Feng YJ, et al. The comparison of partial performance between OSL dosemeter and TLD dosemeter[J]. Chin J Radiol Health, 2019, 28(3): 318-320. DOI: 10.13491/j.issn.1004-714X.2019.03.027 [16] Yang Y, Zhuo WH, Chen B, et al. A new phantom developed to test the ATCM performance of chest CT scanners[J]. J Radiol Prot, 2021, 41(2): 349-359. DOI: 10.1088/1361-6498/abf900 [17] Filippou V, Tsoumpas C. Recent advances on the development of phantoms using 3D printing for imaging with CT, MRI, PET, SPECT, and ultrasound[J]. Med Phys, 2018, 45(9): e740-e760. DOI: 10.1002/mp.13058 [18] Liu HK, Gu JW, Caracappa PF, et al. Comparison of two types of adult phantoms in terms of organ doses from diagnostic CT procedures[J]. Phys Med Biol, 2010, 55(5): 1441-1451. DOI: 10.1088/0031-9155/55/5/012 [19] Alssabbagh M, Tajuddin AA, Manap MBA, et al. Evaluation of nine 3D printing materials as tissue equivalent materials in terms of mass attenuation coefficient and mass density[J]. Int J Adv Appl Sci, 2017, 4(9): 168-173. DOI: 10.21833/ijaas.2017.09.024 [20] Lee DY, Jo YI, Yang SH. Development of breast phantoms using a 3D printer and glandular dose evaluation[J]. J Appl Clin Med Phys, 2021, 22(10): 270-277. DOI: 10.1002/acm2.13408 [21] Hazelaar C, Van Eijnatten M, Dahele M, et al. Using 3D printing techniques to create an anthropomorphic thorax phantom for medical imaging purposes[J]. Med Phys, 2018, 45(1): 92-100. DOI: 10.1002/mp.12644 [22] Leng S, Chen BY, Vrieze T, et al. Construction of realistic phantoms from patient images and a commercial three-dimensional printer[J]. J Med Imaging (Bellingham), 2016, 3(3): 033501. DOI: 10.1117/1.JMI.3.3.033501 [23] Gallas RR, Hünemohr N, Runz A, et al. An anthropomorphic multimodality (CT/MRI) head phantom prototype for end-to-end tests in ion radiotherapy[J]. Z Med Phys, 2015, 25(4): 391-399. DOI: 10.1016/j.zemedi.2015.05.003 [24] Saotome K, Matsushita A, Matsumoto K, et al. A brain phantom for motion-corrected PROPELLER showing image contrast and construction similar to those of in vivo MRI[J]. Magn Reson Imaging, 2017, 36: 32-39. DOI: 10.1016/j.mri.2016.10.003 [25] Mueller JW, Vining DJ, Jones AK, et al. JOURNAL CLUB: in vivo CT dosimetry during CT colonography[J]. Am J Roentgenol, 2014, 202(4): 703-710. DOI: 10.2214/ajr.13.11092 [26] Lopez-Rendon X, Stratis A, Zhang G, et al. Peak skin and eye lens radiation dose from brain perfusion CT: CTDIvol and Monte Carlo based estimations[J]. Eur J Radiol, 2020, 126: 108950. DOI: 10.1016/j.ejrad.2020.108950 [27] 刘海宽, 卓维海, 郑钧正. X射线诊断所致受检者辐射剂量的表征与评估研究进展[J]. 中国医学物理学杂志,2008,25(2):547-551,566 Liu HK, Zhuo WH, Zheng JZ. Progress on characterizing and evaluating radiation doses to examinees from X-ray diagnosis[J]. Chin J Med Phys, 2008, 25(2): 547-551,566 [28] Tian XY, Li X, Segars WP, et al. Dose coefficients in pediatric and adult abdominopelvic CT based on 100 patient models[J]. Phys Med Biol, 2013, 58(24): 8755-8768. DOI: 10.1088/0031-9155/58/24/8755 [29] American Association of Physicists in Medicine. Size-specific dose estimates (SSDE) in pediatric and adult body CT examinations[R]. Alexandria: AAPM, 2011. [30] 国家市场监督管理总局, 国家标准化管理委员会. GB/T 16137—2021 X射线诊断中受检者器官剂量的估算方法[S]. 北京: 中国标准出版社, 2021. State Administration for Market Regulation, Standardization Administration. GB/T 16137—2021 Methods for estimation of examinee's organ doses in X-ray diagnosis[S]. Beijing: Standards Press of China, 2021. [31] Liang BH, Gao YM, Chen Z, et al. Evaluation of effective dose from CT scans for overweight and obese adult patients using the virtualdose software[J]. Radiat Prot Dosimetry, 2017, 174(2): 216-225. DOI: 10.1093/rpd/ncw119 [32] Li X, Samei E, Williams CH, et al. Effects of protocol and obesity on dose conversion factors in adult body CT[J]. Med Phys, 2012, 39(11): 6550-6571. DOI: 10.1118/1.4754584 [33] Yang Y, Zhuo WH, Zhao YY, et al. Estimating specific patient organ dose for chest CT examinations with Monte Carlo method[J]. Appl Sci-Basel, 2021, 11(19): 8961. DOI: 10.3390/app11198961 [34] Liu TY, Ding A, Xu X. MO-F-213CD-01: GPU-based Monte Carlo methods for accelerating radiographic and CT imaging dose calculations: feasibility and scalability[J]. Med Phys, 2012, 39(6): 3876. DOI: 10.1118/1.4735826 [35] Chen W, Kolditz D, Beister M, et al. Fast on-site Monte Carlo tool for dose calculations in CT applications[J]. Med Phys, 2012, 39(6): 2985-2996. DOI: 10.1118/1.4711748 [36] Peng Z, Fang X, Yan PK, et al. A method of rapid quantification of patient-specific organ doses for CT using deep-learning-based multi-organ segmentation and GPU-accelerated Monte Carlo dose computing[J]. Med Phys, 2020, 47(6): 2526-2536. DOI: 10.1002/mp.14131 [37] De Mattia C, Campanaro F, Rottoli F, et al. Patient organ and effective dose estimation in CT: comparison of four software applications[J]. Eur Radiol Exp, 2020, 4(1): 14. DOI: 10.1186/s41747-019-0130-5 [38] 潘羽晞, 邱睿, 刘立业, 等. 辐射防护用中国参考人体素模型建立、应用及最新进展[J]. 辐射防护,2014,34(4):199-205 Pan YX, Qiu R, Liu LY, et al. Chinese reference human voxel phantoms for radiation protection: development, application and recent progress[J]. Radiat Prot, 2014, 34(4): 199-205 [39] 王栋, 邱睿, 潘羽晞, 等. 基于物理体模CT图像的1岁儿童体素体模构建[J]. 原子能科学技术,2016,50(4):757-762. DOI: 10.7538/yzk.2016.50.04.0757 Wang D, Qiu R, Pan YX, et al. Construction of 1-year-old child voxel phantom based on CT image of physical phantom[J]. At Energy Sci Technol, 2016, 50(4): 757-762. DOI: 10.7538/yzk.2016.50.04.0757 [40] 任丽, 邱睿, 武祯, 等. 基于中国参考人的典型CT扫描患者剂量模拟与分析[J]. 中华放射医学与防护杂志,2018,38(12):942-948. DOI: 10.3760/cma.j.issn.0254-5098.2018.12.011 Ren L, Qiu R, Wu Z, et al. Simulation and analysis of CT examination doses to typical patients based on Chinese reference human phantoms[J]. Chin J Radiol Med Prot, 2018, 38(12): 942-948. DOI: 10.3760/cma.j.issn.0254-5098.2018.12.011 [41] Mazonakis M, Tzedakis A, Damilakis J, et al. Thyroid dose from common head and neck CT examinations in children: is there an excess risk for thyroid cancer induction[J]. Eur Radiol, 2007, 17(5): 1352-1357. DOI: 10.1007/s00330-006-0417-9 [42] Tzedakis A, Damilakis J, Perisinakis K, et al. The effect of Z overscanning on patient effective dose from multidetector helical computed tomography examinations[J]. Med Phys, 2005, 32(6): 1621-1629. DOI: 10.1118/1.1924309 [43] Li X, Segars WP, Samei E. The impact on CT dose of the variability in tube current modulation technology: a theoretical investigation[J]. Phys Med Biol, 2014, 59(16): 4525-4548. DOI: 10.1088/0031-9155/59/16/4525 [44] Mcmillan K, Bostani M, Cagnon CH, et al. Estimating patient dose from CT exams that use automatic exposure control: development and validation of methods to accurately estimate tube current values[J]. Med Phys, 2017, 44(8): 4262-4275. DOI: 10.1002/mp.12314
|
|
|
|