Pediatric effective dose assessment for routine computed tomography examinations in Tehran, Iran.

IF 1.1 Q4 ENGINEERING, BIOMEDICAL

Journal of Medical Signals & Sensors Pub Date : 2022-07-26 eCollection Date: 2022-07-01 DOI:10.4103/jmss.jmss_115_21

Atefeh Tahmasebzadeh, Asghar Maziyar, Reza Reiazi, Mojtaba Soltani Kermanshahi, Seyyed Hossein Mousavie Anijdan, Reza Paydar

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Abstract

Background: The purpose of this study is to evaluate the effective dose (ED) for computed tomography (CT) examination in different age groups and medical exposure in pediatric imaging centers in Tehran, Iran.

Methods: Imaging data were collected from 532 pediatric patients from four age groups subjected to three prevalent procedures. National Cancer Institute CT (NCICT) software was used to calculate the ED value.

Results: The mean ED values were 1.60, 4.16, and 10.56 mSv for patients' procedures of head, chest, and abdomen-pelvis, respectively. This study showed a significant difference of ED value among five pediatric medical imaging centers (P < 0.05). In head, chest, and abdomen-pelvis exams, a reduction in ED was evident with decreasing patients' age.

Conclusion: As there were significant differences among ED values in five pediatric medical imaging centers, optimizing this value is necessary to decrease this variation. For head CT in infants and also abdomen-pelvis, further reduction in radiation exposure is required.

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伊朗德黑兰儿童常规计算机断层扫描检查的有效剂量评估。

背景:本研究的目的是评估不同年龄组的计算机断层扫描(CT)检查的有效剂量(ED)和伊朗德黑兰儿科影像中心的医疗暴露。方法:收集4个年龄组532例接受3种常见手术的儿童的影像学资料。使用美国国家癌症研究所CT (NCICT)软件计算ED值。结果:患者头部、胸部和腹部骨盆手术的平均ED值分别为1.60、4.16和10.56 mSv。本研究显示5个儿科医学影像中心ED值差异有统计学意义(P < 0.05)。在头部、胸部和腹部骨盆检查中，ED随着患者年龄的降低而明显减少。结论:由于5家儿科医学影像中心ED值存在显著差异，有必要对ED值进行优化以减小差异。对于婴儿头部CT以及腹部-骨盆，需要进一步减少辐射暴露。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Medical Signals & Sensors ENGINEERING, BIOMEDICAL-

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

33 weeks

期刊介绍： JMSS is an interdisciplinary journal that incorporates all aspects of the biomedical engineering including bioelectrics, bioinformatics, medical physics, health technology assessment, etc. Subject areas covered by the journal include: - Bioelectric: Bioinstruments Biosensors Modeling Biomedical signal processing Medical image analysis and processing Medical imaging devices Control of biological systems Neuromuscular systems Cognitive sciences Telemedicine Robotic Medical ultrasonography Bioelectromagnetics Electrophysiology Cell tracking - Bioinformatics and medical informatics: Analysis of biological data Data mining Stochastic modeling Computational genomics Artificial intelligence & fuzzy Applications Medical softwares Bioalgorithms Electronic health - Biophysics and medical physics: Computed tomography Radiation therapy Laser therapy - Education in biomedical engineering - Health technology assessment - Standard in biomedical engineering.