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Journal articles on the topic 'Dose conversion factors'

Author: Grafiati

Published: 24 March 2023

Last updated: 31 July 2025

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1

Guérin, G., N. Mercier, and G. Adamiec. "Dose-rate conversion factors: update." Ancient TL 29, no. 1 (2011): 5–8. https://doi.org/10.26034/la.atl.2011.443.

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In the field of luminescence and electron spin resonance dating, dose rate conversion factors are widely used to convert concentrations of radioactive isotopes to dose rate values. These factors are derived from data provided by the National Nuclear Data Center of the Brookhaven National Laboratory, which are compiled in Evaluated Nuclear Structure Data Files (ENSDF) and Nuclear Wallet Cards. The recalculated dose rate conversion factors are a few percent higher than those previously published, except for beta and gamma emissions of the isotopes of the U-series decay chains.

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2

Adamiec, G., and M. J. Aitken. "Dose-rate conversion factors: update." Ancient TL 16, no. 2 (1998): 37–50. https://doi.org/10.26034/la.atl.1998.292.

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Dose-rate conversion factors relevant to luminescence dans electron spin resonance dating have been derived from values for the energy carried by radiations emitted during nuclear transformations given in the current ENSDF (Evaluated Nuclear Structure Data File). For beta and gamma radiation the factors are a few percent lower than previously used for the effetive alpha dose-rate it is more appropriate to use an approach based on particle anges and resultant values are given.

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3

Marsh, James W., John D. Harrison, Dominique Laurier, Eric Blanchardon, François Paquet, and Margot Tirmarche. "DOSE CONVERSION FACTORS FOR RADON: RECENT DEVELOPMENTS." Health Physics 99, no. 4 (2010): 511–16. http://dx.doi.org/10.1097/hp.0b013e3181d6bc19.

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4

Cross, W. G., J. Böhm, M. Charles, E. Piesch, and S. M. Seltzer. "Appendix C: Absorbed Dose Distributions; Conversion Factors." Journal of the International Commission on Radiation Units and Measurements os29, no. 1 (1997): 92–106. http://dx.doi.org/10.1093/jicru/os29.1.92.

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5

Cross, W. G., J. Böhm, M. Charles, E. Piesch, and S. M. Seltzer. "Appendix C: Absorbed Dose Distributions; Conversion Factors." Reports of the International Commission on Radiation Units and Measurements os-29, no. 1 (1997): 92–106. http://dx.doi.org/10.1093/jicru_os29.1.92.

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6

KARAMBATSAKIDOU, A., B. SAHLGREN, B. HANSSON, M. LIDEGRAN, and A. FRANSSON. "Effective dose conversion factors in paediatric interventional cardiology." British Journal of Radiology 82, no. 981 (2009): 748–55. http://dx.doi.org/10.1259/bjr/57217783.

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7

Jacob, Peter, and Herwig G. Paretzke. "Dose-rate conversion factors for external gamma exposure." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 255, no. 1-2 (1987): 156–59. http://dx.doi.org/10.1016/0168-9002(87)91092-8.

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8

Stroeder, Jasmine, and Deonne Dersch-Mills. "Identification of a Conversion Factor for Dexmedetomidine to Clonidine Transitions." Journal of Pediatric Pharmacology and Therapeutics 29, no. 4 (2024): 375–78. http://dx.doi.org/10.5863/1551-6776-29.4.375.

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OBJECTIVE To determine a conversion factor for use when switching from dexmedetomidine infusion to enteral clonidine in critically ill neonates. METHODS This was an observational, retrospective review of conversions from dexmedetomidine to clonidine, performed in a neonatal intensive care unit (NICU) between January 2020 and December 2021. Both initial conversion factors and those resulting after a 48-hour titration period were examined. Sedation and withdrawal scores were measured, and doses were titrated based on a standardized practice within the unit. RESULTS A total of 43 dexmedetomidine

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9

NAMBI, K. S. V., and M. J. AITKEN. "ANNUAL DOSE CONVERSION FACTORS FOR TL AND ESR DATING." Archaeometry 28, no. 2 (1986): 202–5. http://dx.doi.org/10.1111/j.1475-4754.1986.tb00388.x.

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10

Ishikawa, Tetsuo, Shinji Tokonami, and Csaba Nemeth. "Calculation of dose conversion factors for thoron decay products." Journal of Radiological Protection 27, no. 4 (2007): 447–56. http://dx.doi.org/10.1088/0952-4746/27/4/005.

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11

Bogaert, E., K. Bacher, and H. Thierens. "Interventional cardiovascular procedures in Belgium: effective dose and conversion factors." Radiation Protection Dosimetry 129, no. 1-3 (2008): 77–82. http://dx.doi.org/10.1093/rpd/ncn021.

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12

Ding, G. X., D. W. O. Rogers, J. E. Cygler, and T. R. Mackie. "Electron fluence correction factors for conversion of dose in plastic to dose in water." Medical Physics 24, no. 2 (1997): 161–76. http://dx.doi.org/10.1118/1.597930.

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13

Kawasaki, Toshio, Masami Sakakubo, Kanako Ito, and Ai Kitagawa. "ESTIMATION OF ORGAN DOSES AND EFFECTIVE DOSES BASED ON IN-PHANTOM DOSIMETRY FOR PAEDIATRIC DIAGNOSTIC CARDIAC CATHETERISATION." Radiation Protection Dosimetry 185, no. 2 (2019): 215–21. http://dx.doi.org/10.1093/rpd/ncy298.

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Abstract The present study evaluated the organ doses, effective doses and conversion factors from the dose–area product to effective dose in pediatric diagnostic cardiac catheterization performed by in-phantom dosimetry and Monte Carlo simulation. The organ and effective doses in 5-y-olds during diagnostic cardiac catheterizations were evaluated using radiophotoluminescence glass dosemeters implanted into a pediatric anthropomorphic phantom and PCXMC software. The mean effective dose was 3.8 mSv (range: 1.8–7.5 mSv). The conversion factors from the dose–area product to effective dose were 0.9

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14

Liang, Baohui, Yiming Gao, Zhi Chen, and X. George Xu. "Evaluation of Effective Dose from CT Scans for Overweight and Obese Adult Patients Using the VirtualDose Software." Radiation Protection Dosimetry 174, no. 2 (2016): 216–25. http://dx.doi.org/10.1093/rpd/ncw119.

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Abstract This paper evaluates effective dose (ED) of overweight and obese patients who undergo body computed tomography (CT) examinations. ED calculations were based on tissue weight factors in the International Commission on Radiological Protection Publication 103 (ICRP 103). ED per unit dose length product (DLP) are reported as a function of the tube voltage, body mass index (BMI) of patient. The VirtualDose software was used to calculate ED for male and female obese phantoms representing normal weight, overweight, obese 1, obese 2 and obese 3 patients. Five anatomic regions (chest, abdomen,

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15

Adefisoye, Ayomide Matthew, Steve Idowu, and Abdulrasheed Sado. "Investigation of the Effects of Buildup Factors on Electromagnetic Radiation Dose." Journal of Engineering and Exact Sciences 10, no. 4 (2024): 18837. http://dx.doi.org/10.18540/jcecvl10iss4pp18837.

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The buildup factor is an important element in radiation protection and shielding. It is also an essential component of the equation for dose calculation. In this study, dose conversion factors were calculated for outside exposures from gamma-rays. The calculations were established on the point-kernel integration method where two expressions for buildup factor were tested; (a) Taylor’s buildup factor and (b) Linear buildup factor. Dose calculations were performed for the two buildup factors expressions at energy range of 0.01MeV – 10.00MeV. The calculations yielded two results for the Dose conv

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16

Kim, S., D. Sopko, G. Toncheva, D. Enterline, B. Keijzers, and T. T. Yoshizumi. "Radiation dose from 3D rotational X-ray imaging: organ and effective dose with conversion factors." Radiation Protection Dosimetry 150, no. 1 (2011): 50–54. http://dx.doi.org/10.1093/rpd/ncr369.

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17

Elbakri, I. A. "Estimation of dose-area product-to-effective dose conversion factors for neonatal radiography using PCXMC." Radiation Protection Dosimetry 158, no. 1 (2013): 43–50. http://dx.doi.org/10.1093/rpd/nct192.

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18

Sanusi, M. S. M., W. M. S. W. Hassan, S. Hashim, and A. T. Ramli. "Tabulation of organ dose conversion factors for terrestrial radioactivity monitoring program." Applied Radiation and Isotopes 174 (August 2021): 109791. http://dx.doi.org/10.1016/j.apradiso.2021.109791.

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19

Binst, J., K. Merken, H. Verhoeven, N. Fitousi, and H. Bosmans. "Preliminary study on dose conversion factors for dental cone beam CT." Physica Medica 92 (December 2021): S35. http://dx.doi.org/10.1016/s1120-1797(22)00079-5.

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20

TOKONAMI, Shinji. "Some Thought on New Dose Conversion Factors for Radon Progeny Inhalation." Japanese Journal of Health Physics 53, no. 4 (2018): 282–93. http://dx.doi.org/10.5453/jhps.53.282.

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21

Yoo, S. J., J. K. Lee, E. H. Kim, K. H. Jeong, and G. Cho. "Groundshine dose-rate conversion factors of soil contaminated to different depths." Radiation Protection Dosimetry 157, no. 3 (2013): 407–29. http://dx.doi.org/10.1093/rpd/nct139.

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22

Vult von Steyern, K., I. M. Bjorkman-Burtscher, M. Geijer, and L. Weber. "Conversion factors for estimation of effective dose in paediatric chest tomosynthesis." Radiation Protection Dosimetry 157, no. 2 (2013): 206–13. http://dx.doi.org/10.1093/rpd/nct142.

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23

Trevino, Jose Francisco, and Craig Marianno. "Calculation of Canine Dose Rate Conversion Factors for Photons and Electrons." Health Physics 114, no. 1 (2018): 20–26. http://dx.doi.org/10.1097/hp.0000000000000732.

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24

Waller, Edward, and Eric Heritage. "Encapsulated Gamma Source Contact Dose Conversion Factors: Updating NCRP-40 Guidance." Health Physics 120, no. 2 (2021): 131–44. http://dx.doi.org/10.1097/hp.0000000000001291.

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25

Adtani, M. M., B. Shetty, and S. J. Supe. "Conversion Factors for Evaluation of Effective Dose Equivalent for Reactor Personnel." Radiation Protection Dosimetry 11, no. 3 (1985): 159–63. http://dx.doi.org/10.1093/oxfordjournals.rpd.a079461.

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26

Nuccetelli, C., and F. Bochicchio. "The Thoron Issue: Monitoring Activities, Measuring Techniques and Dose Conversion Factors." Radiation Protection Dosimetry 78, no. 1 (1998): 59–64. http://dx.doi.org/10.1093/oxfordjournals.rpd.a032334.

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27

Zhukovsky, Michael, and Aleksandra Onishchenko. "CALCULATION OF DOSE CONVERSION FACTORS BASED ON THE RESULTS OF GEOMETRIC MIXTURE MODELS FOR RISK ASSESSMENT OF RADON EXPOSURE." Radiation Protection Dosimetry 191, no. 2 (2020): 181–87. http://dx.doi.org/10.1093/rpd/ncaa145.

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Abstract The results of the geometric mixture model by Tomasek (2011, 2013) were applied for the calculation of radiation risk at radon exposure at the assessment of dose conversion factors (DCF; mSv/WLM) from radon exposure to the effective dose-by-dose conversion convention approach for cohorts with different smoking status. It is shown that the use of a geometric mixture model results in a better agreement between DCF values for men and women.

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28

Kawasaki, Toshio, Masami Sakakubo, and Kanako Ito. "ESTIMATION OF ORGAN DOSES AND EFFECTIVE DOSES BASED ON IN-PHANTOM DOSIMETRY FOR INFANT DIAGNOSTIC CARDIAC CATHETERISATIONS WITH NOVEL X-RAY IMAGING TECHNOLOGY." Radiation Protection Dosimetry 183, no. 4 (2018): 529–34. http://dx.doi.org/10.1093/rpd/ncy174.

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Abstract The present study evaluated the organ and effective doses in infant diagnostic cardiac catheterisation performed using a modern x-ray imaging unit by in-phantom dosimetry. In addition, conversion factors from dose–area product (DAP) to effective dose were determined. The organ and effective doses in 1-year old during diagnostic cardiac catheterisations were measured using radiophotoluminescence glass dosemeters implanted into an infant anthropomorphic phantom. The mean effective doses, evaluated according to the International Commission on Radiologic Protection Publication 103, were 4

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29

Tolstykh, E. I., Y. R. Akhmadullina, P. A. Sharagin, E. A. Shishkina, and A. V. Akleyev. "Retrospective biodosimetry: Conversion of frequency of chromosomal translocations into organ doses." Extreme Medicine 26, no. 3 (2024): 5–14. https://doi.org/10.47183/mes.2024-26-3-5-14.

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Introduction. One of the techniques used in retrospective biodosimetry according to the fluorescence in situ hybridization (FISH) method involves the estimation of stable chromosome aberrations (translocations) in human peripheral blood T-lymphocytes. In the case of uniform external and internal exposure, the interpretation of FISH data does not pose any problem, since the dose to T-lymphocytes that effects the translocation frequency can be simply interpreted as the dose to other organs and tissues. However, when the internal exposure is non-uniform and the doses to the organs differ by an or

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30

Lee, Sang-Kyung, Jung Su Kim, Sang-Wook Yoon, and Jung Min Kim. "Development of CT Effective Dose Conversion Factors from Clinical CT Examinations in the Republic of Korea." Diagnostics 10, no. 9 (2020): 727. http://dx.doi.org/10.3390/diagnostics10090727.

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The aim of this study was to determine the conversion factors for the effective dose (ED) per dose length product (DLP) for various computed tomography (CT) protocols based on the 2007 recommendations of the International Commission on Radiological Protection (ICRP). CT dose data from 369 CT scanners and 13,625 patients were collected through a nationwide survey. Data from 3793 patients with a difference in height within 5% of computational human phantoms were selected to calculate ED and DLP. The anatomical CT scan ranges for 11 scan protocols (adult-10, pediatric-1) were determined by expert

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31

Trattner, Sigal, Sandra Halliburton, Carla M. Thompson, et al. "Cardiac-Specific Conversion Factors to Estimate Radiation Effective Dose From Dose-Length Product in Computed Tomography." JACC: Cardiovascular Imaging 11, no. 1 (2018): 64–74. http://dx.doi.org/10.1016/j.jcmg.2017.06.006.

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32

Grasty, R. L., and J. Hovgaard. "COMMENT ON DOSE RATE CONVERSION FACTORS FOR PHOTON EMITTERS IN THE SOIL." Health Physics 79, no. 5 (2000): 614–15. http://dx.doi.org/10.1097/00004032-200011000-00025.

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33

Devine, R. T. "Computation of cross sections and dose conversion factors for criticality accident dosimetry." Radiation Protection Dosimetry 110, no. 1-4 (2004): 491–95. http://dx.doi.org/10.1093/rpd/nch381.

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34

Compagnone, Gaetano, Emanuela Giampalma, Sara Domenichelli, Matteo Renzulli, and Rita Golfieri. "Calculation of conversion factors for effective dose for various interventional radiology procedures." Medical Physics 39, no. 5 (2012): 2491–98. http://dx.doi.org/10.1118/1.3702457.

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35

Schmidt, P. W. E., D. R. Dance, C. L. Skinner, I. A. Castellano Smith, and J. G. McNeill. "Conversion factors for the estimation of effective dose in paediatric cardiac angiography." Physics in Medicine and Biology 45, no. 10 (2000): 3095–107. http://dx.doi.org/10.1088/0031-9155/45/10/323.

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36

Quindos, L. S., P. L. Fernández, C. Ródenas, J. Gómez-Arozamena, and J. Arteche. "Conversion factors for external gamma dose derived from natural radionuclides in soils." Journal of Environmental Radioactivity 71, no. 2 (2004): 139–45. http://dx.doi.org/10.1016/s0265-931x(03)00164-4.

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37

Kocher, D. C., and A. L. Sjoreen. "Dose-rate Conversion Factors for External Exposure to Photon Emitters in Soil." Health Physics 48, no. 2 (1985): 193–205. http://dx.doi.org/10.1097/00004032-198502000-00006.

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38

Hiroki, Akinori, Kouzou Kumagai, Harutaka Hisano, Konomu Urabe, and Yasuo Suga. "Approximation Method for Estimation of Absorbed Dose Conversion Factors for Electron Beams." Japanese Journal of Radiological Technology 54, no. 1 (1998): 67. http://dx.doi.org/10.6009/jjrt.kj00001351737.

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39

Schade, Sebastian, Brit Mollenhauer, and Claudia Trenkwalder. "Levodopa Equivalent Dose Conversion Factors: An Updated Proposal Including Opicapone and Safinamide." Movement Disorders Clinical Practice 7, no. 3 (2020): 343–45. http://dx.doi.org/10.1002/mdc3.12921.

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40

D'Alessio, Andrea, Barbara Cannillo, Giuseppe Guzzardi, Massimiliano Cernigliaro, Alessandro Carriero, and Marco Brambilla. "Conversion factors for effective dose and organ doses with the air Kerma area product in hysterosalpingography." Physica Medica 81 (January 2021): 40–46. http://dx.doi.org/10.1016/j.ejmp.2020.11.032.

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41

Qiu, Guo Hua. "Study on Modelling in Biosphere for Performance Assessment on HLW Disposal Repository in China." Advanced Materials Research 610-613 (December 2012): 725–32. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.725.

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Based on BIOMASS methodology, FEPs analysis and data preparation, the biosphere model for Beishan, China (BIOMOBEIC) for performance assessment on high level radioactive waste(HLW) disposal repository has been developed by utilizing AMBER which is an efficient compartment modeling tool in order to evaluate dose rate to individual due to long-term release of nuclides from the HLW repository. From the result of mathematical simulation, the biosphere dose conversion factors (BDCFs) are obtained which are critical factors for conversion of release rates from the geosphere to individual doses in bi

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42

Harrison, J. D., and J. W. Marsh. "Effective dose from inhaled radon and its progeny." Annals of the ICRP 41, no. 3-4 (2012): 378–88. http://dx.doi.org/10.1016/j.icrp.2012.06.012.

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Currently, the International Commission on Radiological Protection (ICRP) uses the dose conversion convention to calculate effective dose per unit exposure to radon and its progeny. In a recent statement, ICRP indicated the intention that, in future, the same approach will be applied to intakes of radon and its progeny as is applied to all other radionuclides, calculating effective dose using reference biokinetic and dosimetric models, and radiation and tissue weighting factors. Effective dose coefficients will be given for reference conditions of exposure. In this paper, preliminary results o

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43

Kobayashi, Masanao, Tomoko Ootsuka, and Syoichi Suzuki. "Evaluation and Examination of Accuracy for the Conversion Factors of Effective Dose per Dose^|^#8211;Length Product." Japanese Journal of Radiological Technology 69, no. 1 (2013): 19–27. http://dx.doi.org/10.6009/jjrt.2013_jsrt_69.1.19.

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44

Reineking, A., E. A. Knutson, A. C. George, et al. "Size Distribution of Unattached and Aerosol-Attached Short-Lived Radon Decay Products: Some Results of Intercomparison Measurements." Radiation Protection Dosimetry 56, no. 1-4 (1994): 113–18. http://dx.doi.org/10.1093/oxfordjournals.rpd.a082433.

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Abstract Within the framework of radiation protection programmes supported by the CEC, the US-DOE, and the Australian Government, intercomparison measurements were performed in a house with elevated radon concentrations in Northern Bavaria (Germany) in October 1991. Besides the research aspects of aerosol sciences, the purpose of this joint measurement was to compare dose conversion factors calculated from the results obtained by these three laboratories. In low ventilated rooms with moderate aerosol particle concentrations (Z=4000-8000 cm-3) about 40% of the 218Po activity is associated with

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45

Kim, Bong-Gi, Kyu-Hwan Jeong, and Hyeong-Ki Shin. "EVALUATION OF DOSE IN SLEEP BY MATTRESS CONTAINING MONAZITE." Radiation Protection Dosimetry 187, no. 3 (2019): 286–99. http://dx.doi.org/10.1093/rpd/ncz163.

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Abstract Some companies in Korea have sold beds which contain a processed product containing monazite powder. Consumers may receive external exposure by radiation emitted by progeny radionuclides in uranium and thorium, and internal exposure through the breathing of radon progeny radionuclides produced in the decay chain. Thus, in this study, age specific dose conversion factors (mSv y−1 Bq−1) by external exposure and dose conversion factors by internal exposure (mSv y−1 per Bq m−3) were derived. Besides, a dose assessment program were developed to calculate dose by taking into account real co

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46

Noßke, D., U. Leche, and G. Brix. "Radiation exposure of patients undergoing whole-body FDG-PET/CT examinations." Nuklearmedizin 53, no. 05 (2014): 217–20. http://dx.doi.org/10.3413/nukmed-0663-14-04.

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SummaryAim: Reinvestigation of the radiation exposure of patients undergoing whole-body [18F]FDG-PET/CT examinations pursuant to the revised recommendations of the ICRP. Methods: Conversion coefficients for equivalent organ doses were determined for realistic anthropomorphic phantoms of reference persons. Based on these data, conversion coefficients for the effective dose were calculated using the revised tissue-weighting factors that account for the different radiation susceptibilities of organs and tissues, and the redefinition of the group ‘remainder tissues’. Results: Despite the markedly

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47

Visenberg, Yu V. "RURAL SETTLEMENTS: SOCIAL AND ECOLOGICAL FACTORS OF DOSE FORMATION." Health and Ecology Issues, no. 3 (September 28, 2008): 30–36. http://dx.doi.org/10.51523/2708-6011.2008-5-3-6.

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The aim of the study is to reveal that average internal dose in a settlement is the function of its environmental factors and social constitution. The method of investigation - statistic analysis of the internal dose in rural residents depending on number of factors: radioecological, marked in conversion factor of radionuclides from soil into milk; environmental - close location of a settlement to forest; social - number of population and demographic structure. Comparison of mean dose of internal irradiation was conducted in 10-years dynamics in rural residents of Vetka and Hoiniki districts s

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48

Zoetelief, J., and J. Th M. Jansen. "Calculation of Air Kerma to Average Glandular Tissue Dose Conversion Factors for Mammography." Radiation Protection Dosimetry 57, no. 1-4 (1995): 397–400. http://dx.doi.org/10.1093/oxfordjournals.rpd.a082568.

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49

Zoetelief, J., and J. Th M. Jansen. "Calculation of Air Kerma to Average Glandular Tissue Dose Conversion Factors for Mammography." Radiation Protection Dosimetry 57, no. 1-4 (1995): 397–400. http://dx.doi.org/10.1093/rpd/57.1-4.397.

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50

Li, Xiang, Ehsan Samei, Cameron H. Williams, et al. "Effects of protocol and obesity on dose conversion factors in adult body CT." Medical Physics 39, no. 11 (2012): 6550–71. http://dx.doi.org/10.1118/1.4754584.

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