Clinical Indication-Based Pediatric Diagnostic Reference Level Values for Abdominal Computed Tomography: A Descriptive Cross-Sectional Study

基于临床指征的儿童腹部计算机断层扫描诊断参考值:一项描述性横断面研究

阅读:1

Abstract

BACKGROUND AND AIMS: Computed tomography (CT) poses a concern in pediatric patients because of their higher sensitivity to radiation. At the time of the study, nephroblastoma was the most prevalent clinical indication for abdominal CT examinations in pediatric patients. Therefore, the aim of this study was to establish pediatric typical diagnostic reference levels (DRLs) for contrast-enhanced abdominal CT examinations of pediatric patients presenting with nephroblastoma. METHODS: The volume CT dose index (CTDI(vol)), dose-length product (DLP) and patient weight of 121 patients with nephroblastoma were collected retrospectively. Size-specific dose estimates (SSDE), CTDI(vol) and DLP were used to calculate DRL values. The SSDE was added as an additional parameter because dose estimates based on the patient's size are considered more precise. Patients were categorized into five weight groups for which DRL values were established per group. The pediatric DRL values in this study were set at the median of the data distribution. RESULTS: Diagnostic reference level values were only established for two weight groups that adhered to the International Commission on Radiological Protection (ICRP) guidelines. The DRL values for CTDI(vol) ranged from 2.4 to 2.7 mGy, while the DLP ranged from 78.4 to 108 mGy.cm, and SSDE(sum) ranged from 4.9 to 5.6 mGy. The DRL values of this study were lower than the European Commission (EC) DRL values and higher than those of other international studies. The lower DRL values of this study will be used to further tailor the radiation dose to be lower than usual for optimization of the radiation dose received by pediatric patients for CT abdomen examinations. CONCLUSION: For efficient dose optimization, clinical indication, body weight, and SSDE should be considered when developing pediatric DRL values. Future optimization strategies will benefit from adapting patient size and clinical indication as suggested and supported by the findings of this study.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。