Estimated radiation risk of cancer from dental cone-beam computed tomography imaging in orthodontics patients

被引:31
作者
Yeh, Jih-Kuei [1 ]
Chen, Chia-Hui [2 ,3 ]
机构
[1] Kaohsiung Municipal United Hosp, Div Family Med, 976 Jhonghua 1st Rd, Kaohsiung 804, Taiwan
[2] Cent Taiwan Univ Sci & Technol, Dept Med Imaging & Radiol Sci, 666 Buzih Rd, Taichung 40601, Taiwan
[3] Natl Chiao Tung Univ, Coll Photon, 301,Gaofa 3rd Rd, Tainan 711, Taiwan
来源
BMC ORAL HEALTH | 2018年 / 18卷
关键词
Cone-beam computed tomography (CBCT); Organ doses; Monte Carlo simulation; PCXMC; Risk of exposure-induced death (REID); CT; DOSIMETRY; RADIOGRAPHS; DEVICES; IMAGES;
D O I
10.1186/s12903-018-0592-5
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Background: Radiation dose evaluation is important to cone-beam computed tomography (CBCT) for routine orthodontic treatment planning, especially for a significant proportion of children in orthodontic patients. This study evaluated the patient radiation dose and estimated the radiation cancer risk on dental CBCT according to the calculations by the Monte Carlo simulation method. Methods: The dental CBCT scanner evaluated in this project was the i- CAT (R) (Imaging Sciences International Inc., PA, U.S.A.) device. Organ doses and effective doses were calculated by using personal computer-based Monte Carlo simulation (PCXMC 2.0 Rotation) software. The cancer risk resulting from the exposure to ionizing radiation was estimated by using the BEIR VII (Biologic Effects of Ionizing Radiation VII) report model, and the risk of exposure-induced death (REID) was assessed by PCXMC 2.0 Rotation software. Results: The largest contribution to the organ dose and effective dose at Zref 83 cm positioned in the dental CBCT x-ray beam centerline was from the salivary glands (738.29 mu Gy, 7.38 mu Sv). The different organ doses showed the maximum values at the different Zref locations, and the largest contribution to the organ dose and effective dose of all simulated positions was from the thyroid (928.77 mu Gy, 37.5 mu Sv). The REID values in the 10-year olds (22.6 x 10(-7), female; 19 x 10(-7), male) were approximately double than those in 30-year olds (10.4 x 10(-7), female; 8.88 x 10(-7), male) for all cancers. The highest change during age range from 10 to 30 was shown in breast cancer of females. Conclusions: Although individual cancer risk estimates as a function of gender and age are small, the concern about the risks from dental CBCT is related to the rapid increase in its use for orthodontic practice, especially in children patients.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Estimation of effective imaging dose and excess absolute risk of secondary cancer incidence for four-dimensional cone-beam computed tomography acquisition
    Yuasa, Yuki
    Shiinoki, Takehiro
    Onizuka, Ryota
    Fujimoto, Koya
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2019, 20 (11): : 57 - 68
  • [42] Cone-beam computed tomography is not the imaging technique of choice for comprehensive orthodontic assessment
    Halazonetis, Demetrios J.
    [J]. AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2012, 141 (04) : 407 - 411
  • [43] Newer Technologies in Breast Cancer Imaging: Dedicated Cone-Beam Breast Computed Tomography
    O'Connell, Avice M.
    Karellas, Andrew
    Vedantham, Srinivasan
    Kawakyu-O'Connor, Daniel T.
    [J]. SEMINARS IN ULTRASOUND CT AND MRI, 2018, 39 (01) : 106 - 113
  • [44] Mathematical estimation and in vivo dose measurement for cone-beam computed tomography on prostate cancer patients
    Jeng, Shiu-Chen
    Tsai, Chiao-Ling
    Chan, Wen-Tung
    Tung, Chuan-Jong
    Wu, Jian-Kuen
    Cheng, Jason Chia-Hsien
    [J]. RADIOTHERAPY AND ONCOLOGY, 2009, 92 (01) : 57 - 61
  • [45] Role of cone beam computed tomography in contemporary orthodontics
    Tadinada, Aditya
    Schneider, Sydney
    Yadav, Sumit
    [J]. SEMINARS IN ORTHODONTICS, 2018, 24 (04) : 407 - 415
  • [46] Aging of imaging properties of a CMOS flat-panel detector for dental cone-beam computed tomography
    Kim, D. W.
    Han, J. C.
    Yun, S.
    Kim, H. K.
    [J]. JOURNAL OF INSTRUMENTATION, 2017, 12
  • [47] Cone-beam computed tomography of mandibular foramen and lingula for mandibular anesthesia
    Ahn, Byeong-Seob
    Oh, Song Hee
    Heo, Chong-Kwan
    Kim, Gyu-Tae
    Choi, Yong-Suk
    Hwang, Eui-Hwan
    [J]. IMAGING SCIENCE IN DENTISTRY, 2020, 50 (02) : 125 - 132
  • [48] Impact of cone-beam computed tomography on orthodontic diagnosis and treatment planning
    Hodges, Ryan J.
    Atchison, Kathryn A.
    White, Stuart C.
    [J]. AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2013, 143 (05) : 665 - 674
  • [49] Assessment of image quality in maxillofacial cone-beam computed tomography imaging
    Gamache, Casey
    English, Jeryl D.
    Salas-Lopez, Anna M.
    Rong, John
    Akyalcin, Sercan
    [J]. SEMINARS IN ORTHODONTICS, 2015, 21 (04) : 248 - 253
  • [50] Cone-Beam Computed Tomography: A New Method for Imaging of the Temporal Bone
    Peltonen, L. I.
    Aarnisalo, A. A.
    Kaser, Y.
    Kortesniemi, M. K.
    Robinson, S.
    Suomalainen, A.
    Jero, J.
    [J]. ACTA RADIOLOGICA, 2009, 50 (05) : 543 - 548