Estimating the Absorbed Dose of Organs in Pediatric Imaging of 99mTc-DTPA Radiopharmaceutical using MIRDOSE Software

Autor: F Khanzadeh, Amin Banaei, R Abedi Firouzjah, K Ebrahimnejad Gorji, N Abdi-Goushbolagh, Gh Ataei
Rok vydání: 2019
Předmět:
Zdroj: Journal of Biomedical Physics and Engineering, Vol 9, Iss 3, Pp 285-294 (2019)
ISSN: 2251-7200
Popis: Introduction: In this study, organ radiation doses were calculated for the renal agent 99mTc-DTPA in children. Bio-kinetic energy of 99mTc-DTPA was evaluated by scintigraphy and estimates for absorbed radiation dose were provided using standard medical internal radiation dosimetry (MIRD) techniques. Material and Methods: In this applied research, fourteen children patients (6 males and 8 females) were imaged using a series of planar and SPECT images after injecting with technetium-99m diethylenetriaminepentaacetic acid (99mTc-DTPA). A hybrid planar/SPECT method was used to plot time-activity curves to obtain the residence time of the source organs and also MIRDOSE software was used to calculate the absorbed dose of every organ. P-values were calculated using t-tests in order to make a comparison between the adsorbed doses of male and female groups. Results: Mean absorbed doses (µGy/MBq) for urinary bladder wall, kidneys, gonads, liver and adrenals were 213.5±47.8, 12.97±6.23, 12.0±2.5, 4.29±1.47, and 3.31±0.96, respectively. Furthermore, the mean effective dose was 17.5±3.7 µSv/ MBq. There was not any significant difference in the mean absorbed dose of the two groups. Conclusion: Bladder cumulated activity was the most contribution in the effective dose of patients scanned with 99mTc-DTPA. Using a hybrid planar/SPECT method can cause an increase in accumulated activity accuracy for the region of interest. Moreover, patient-specified internal dosimetry is recommended. Citation: Ebrahimnejad Gorji K, Abedi Firouzjah R, Khanzadeh F, Abdi-Goushbolagh N, Banaei A, Ataei Gh. Estimating the Absorbed Dose of Organs in Pediatric Imaging of 99mTc-DTPA Radiopharmaceutical using MIRDOSE Software. J Biomed Phys Eng. 2019;9(3):285-294. https://doi.org/10.31661/jbpe.v0i0.984.
Databáze: OpenAIRE