Monte-Carlo simulation of uncertainty in the estimation of 125I in the thyroid

被引:3
|
作者
Bhati, S. [1 ]
Patni, H. K. [1 ]
机构
[1] BARC Hosp, Bhabha Atom Res Ctr, Div Hlth Phys, Bombay 400094, Maharashtra, India
关键词
PHANTOM; DETECTOR;
D O I
10.1093/rpd/ncp143
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
At the Bhabha Atomic Research Centre, a thin (76 mm diameter x 2 mm thickness) NaI (Tl) detector is used for the assessment of I-125 in the thyroid of the radiation workers engaged in the preparation of radio-immunoassay kits. The detector was calibrated using a REMCAL (radiation equivalent manikin calibration) phantom with a known amount of the I-125 activity filled in its thyroidal cavity. Since I-125 emits low-energy photons ranging from 27 to 35.4 keV, its detection efficiency depends on several parameters such as neck-to-detector distance, detector size, unknown tissue thickness overlying (OTT) the thyroid and the shape and size of the thyroid. To account for uncertainties introduced by these factors in the estimation of I-125, a computer program based on the Monte Carlo photon transport techniques was developed. The program simulates the detector response and the corresponding detection efficiencies using two thyroid models: (1) revised MIRD head phantom and (2) Ulanvosky model. The program has been validated with experimental measurements carried out using a REMCAL phantom. The computed values of uncertainties due to placement errors (+/- 0.5 cm) for different detector sizes, differences in the OTT of the thyroid (0.6-2.0 cm) and different thyroid shapes are presented in this paper. The computed values of the calibration factors, determined for the revised MIRD phantom, varied from 5.23 to 1.06 x 10(-2) counts per photon for detector distance of 3-12 cm and from 7.53 to 3.66 x 10(-2) counts per photon for OTT varying from 0.6 to 2.0 cm keeping the detector at a distance of 3 cm. This study shows that the variations in OTT constitute a major source of uncertainty. The computed uncertainties due to various parameters should be taken into account while estimating the thyroidal burden of I-125 in the radiation workers. The feasibility of using coincidence method for absolute determination of the I-125 activity in the thyroid is also discussed in this paper.
引用
收藏
页码:23 / 29
页数:7
相关论文
共 50 条
  • [1] Dosimetric parameters estimation using PENELOPE Monte-Carlo simulation code:: Model 6711 a 125I brachytherapy seed
    Rodríguez, EAV
    Alcón, EPQ
    Rodriguez, ML
    Gutt, F
    de Almeida, E
    [J]. APPLIED RADIATION AND ISOTOPES, 2005, 63 (01) : 41 - 48
  • [2] Determination of dose calculation parameters of 125I brachytherapy source with Monte-Carlo method
    Department of Engineering Physics, Tsinghua University, Beijing 100084, China
    [J]. Yuanzineng Kexue Jishu, 2006, 6 (657-661):
  • [3] Reduction of Monte-Carlo simulation runs for uncertainty estimation in hydrological modelling
    Khu, ST
    Werner, MGF
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2003, 7 (05) : 680 - 692
  • [4] MONTE-CARLO SIMULATION OF THE DOSE DISTRIBUTION AROUND I-125 SEEDS
    BURNS, GS
    RAESIDE, DE
    [J]. MEDICAL PHYSICS, 1987, 14 (03) : 420 - 424
  • [5] Monte Carlo Simulation of Dose Calculation Parameter of Radioactive 125I Brachytherapy Source
    Liu C.
    Song M.
    Wang H.
    Ni N.
    Wei K.
    Liu Y.
    [J]. Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2020, 54 (11): : 2217 - 2222
  • [6] A MONTE-CARLO TREATMENT OF THE DECAY OF I-125
    CHARLTON, DE
    BOOZ, J
    [J]. RADIATION RESEARCH, 1981, 87 (01) : 10 - 23
  • [7] Monte Carlo and experimental dosimetry of an 125I brachytherapy seed
    Dolan, James
    Li, Zuofeng
    Williamson, Jeffrey F.
    [J]. MEDICAL PHYSICS, 2006, 33 (12) : 4675 - 4684
  • [8] RADIATION-DOSIMETRY FOR I-125 USING MONTE-CARLO SIMULATION METHOD
    CHIUTSAO, ST
    OBRIEN, K
    SANNA, R
    [J]. MEDICAL PHYSICS, 1983, 10 (04) : 532 - 532
  • [9] CALIBRATION OF COINCIDENCE COUNTING ASSAY OF THYROIDAL I125 BY MONTE-CARLO SIMULATION
    WIDMAN, JC
    POWSNER, ER
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 1983, 28 (04): : 427 - 430
  • [10] Uncertainty estimation and Monte Carlo simulation method
    Papadopoulos, CE
    Yeung, H
    [J]. FLOW MEASUREMENT AND INSTRUMENTATION, 2001, 12 (04) : 291 - 298