Systematic Review and Meta-Analysis of Radiation Dose Reduction Studies in Pediatric Head CT.

Kevin He, Adam Boukind, Anusha S Sanka, Joseph G Ribaudo, Sophia Chryssofos, Gary B Skolnick, Lauren B Yaeger, Allan M Thomas, Ali Y Mian, Kamlesh B Patel
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Abstract

Background: Conventional imaging protocols used in pediatric head CT scanning without specific adaptations to lower radiation dose or "standard dose" pediatric head CTs increase unnecessary radiation exposure. Modifying CT parameters, utilizing iterative reconstruction, and adopting specialized protocols are ongoing strategies to lower radiation dose in pediatric head CTs.

Purpose: This article reviews studies reducing radiation exposure in pediatric patients undergoing head CT and provides meta-analysis of percent radiation dose reduction of the studies.

Data sources: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we utilized EMBASE, Ovid MEDLINE, Scopus, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Clinicaltrials.gov to identify all relevant articles pertaining to radiation dose reduction in pediatric head CT.

Study selection: All human studies (excluding animal, phantom, and cadaveric) published after 2012 aiming to lower radiation dose of a "routine" or "standard" dose CT protocol in use were selected for review.

Data analysis: We extracted study characteristics such as location, sample size, scanner, clinical indication, CT protocol parameter modifications, iterative reconstruction method if applicable, dose reduction, image quality metrics, and overall findings. CT protocol parameter modifications and dose reduction were summarized by using descriptive statistics. Meta-analyses on percent dose reduction were performed. Meta-analyses were subgrouped by clinical indication, use of iterative reconstruction, and age group to isolate sources of heterogeneity between studies. Limitations included heterogeneity of study protocols, incomplete protocol/outcome reporting, and variability of institution, scanner, patient demographics. Clinical indication limits the generalizability of our findings.

Data synthesis: This review identified 20 studies modifying their routine or standard dose pediatric head CT protocols on human patients. These studies modified CT parameters with or without the use of iterative reconstruction and/or used specialized protocols. Most common CT parameters modifications consisted of decreasing tube current time product (mAs) (n = 13) and/or tube voltage (kV) (n = 9). The most successful dose reduction studies had the clinical indication of craniosynostosis and utilized iterative reconstruction. Ernst and colleagues (2016) utilized model-based iterative reconstruction for craniosynostosis and reduced effective dose by 97% and Lyoo and colleagues (2023) utilized advanced modeled iterative reconstruction with ClariCT for craniosynostosis and reduced CT dose index volume by 95.9%. Meta-analyses revealed significant differences in percent dose reduction based on clinical indication.

Limitations: Heterogeneity of study protocols, incomplete protocol/outcome reporting, and variability of institution, scanner, patient demographics, and clinical indication limit the generalizability of our findings.

Conclusions: This systematic review and meta-analysis identifies tube current time product as the most commonly modified CT parameter and also highlights CT clinical indication as an important factor to isolate when comparing dose reduction studies. Further research should further investigate iterative reconstruction techniques as well as photon-counting CT to maximize radiation dose reduction of pediatric head CT.

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儿童头部CT放射剂量降低研究的系统评价和荟萃分析。
背景:在儿童头部CT扫描中使用的传统成像方案没有针对低辐射剂量或“标准剂量”儿童头部CT的特殊适应,增加了不必要的辐射暴露。修改CT参数、利用迭代重建和采用专门的方案是降低儿童头部CT辐射剂量的持续策略。目的:本文将回顾减少儿童头部CT患者辐射暴露的研究,并对研究中辐射剂量减少的百分比进行荟萃分析。数据来源:遵循PRISMA指南,我们使用Embase.com、Ovid Medline、Scopus、Cochrane中央对照试验注册库(Central)、Cochrane系统评价数据库(CDSR)和Clinicaltrials.gov来识别所有与儿童头部CT放射剂量降低相关的文章。研究选择:选取2012年以后发表的所有旨在降低正在使用的“常规”或“标准”剂量CT方案辐射剂量的人体研究(不包括动物、幻影和尸体)进行综述和荟萃分析。数据分析:我们提取了研究特征,如地点、样本量、扫描仪、临床指征、CT方案参数修改、迭代重建方法(如适用)、剂量减少、图像质量指标和总体结果。采用描述性统计方法总结CT方案参数修改及剂量减少情况。对剂量减少百分比进行了荟萃分析。荟萃分析按临床适应症、使用迭代重建和年龄组分组,以隔离研究之间的异质性来源。数据综合:本综述确定了20项研究修改了人类患者的常规或标准剂量儿童头部CT方案。这些研究使用或不使用迭代重建和/或使用专门的方案修改CT参数。最常见的CT参数修改包括降低管电流时间积(mAs) (N=13)和/或管电压(kV) (N=9)。最成功的减剂量研究有颅缝闭合的临床指征,并采用迭代重建。Ernst等人(2016)使用基于模型的迭代重建(MBIR)进行颅缝闭合,有效剂量降低了97%,Lyoo等人(2023)使用先进模型迭代重建(钦佩)与ClariCT进行颅缝闭合,CTDIvol降低了95.9%。荟萃分析显示,基于临床适应症的剂量减少百分比存在显著差异。局限性:研究方案的异质性,不完整的方案/结果报告,以及机构、扫描仪、患者人口统计学和临床适应症的可变性限制了我们研究结果的普遍性。结论:本系统综述和荟萃分析确定了管电流时间积是最常见的修改CT参数,并强调了CT临床适应症是比较减剂量研究时要分离的重要因素。进一步的研究应进一步研究迭代重建技术和光子计数CT,以最大限度地降低儿童头部CT的辐射剂量。缩写:钦佩=高级建模迭代重建,ASIR =自适应统计迭代重建,CTDIvol = CT剂量指数体积,DLIR =深度学习迭代重建,DLP =剂量长度积,FBP =滤波后的反投影,IMR =迭代模型重建,MBIR =基于模型的迭代重建。
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