Department of Diagnostic an Interventional Radiology, Technische Universität München, Munich, Germany.
PLoS One. 2013 Nov 26;8(11):e81141. doi: 10.1371/journal.pone.0081141. eCollection 2013.
Evaluation of 15,000 computed tomography (CT) examinations to investigate if iterative reconstruction (IR) reduces sustainably radiation exposure.
Information from 15,000 CT examinations was collected, including all aspects of the exams such as scan parameter, patient information, and reconstruction instructions. The examinations were acquired between January 2010 and December 2012, while after 15 months a first generation IR algorithm was installed. To collect the necessary information from PACS, RIS, MPPS and structured reports a Dose Monitoring System was developed. To harvest all possible information an optical character recognition system was integrated, for example to collect information from the screenshot CT-dose report. The tool transfers all data to a database for further processing such as the calculation of effective dose and organ doses. To evaluate if IR provides a sustainable dose reduction, the effective dose values were statistically analyzed with respect to protocol type, diagnostic indication, and patient population.
IR has the potential to reduce radiation dose significantly. Before clinical introduction of IR the average effective dose was 10.1±7.8mSv and with IR 8.9±7.1mSv (p*=0.01). Especially in CTA, with the possibility to use kV reduction protocols, such as in aortic CTAs (before IR: average14.2±7.8mSv; median11.4mSv /with IR:average9.9±7.4mSv; median7.4mSv), or pulmonary CTAs (before IR: average9.7±6.2mSV; median7.7mSv /with IR: average6.4±4.7mSv; median4.8mSv) the dose reduction effect is significant(p*=0.01). On the contrary for unenhanced low-dose scans of the cranial (for example sinuses) the reduction is not significant (before IR:average6.6±5.8mSv; median3.9mSv/with IR:average6.0±3.1mSV; median3.2mSv).
The dose aspect remains a priority in CT research. Iterative reconstruction algorithms reduce sustainably and significantly radiation dose in the clinical routine. Our results illustrate that not only in studies with a limited number of patients but also in the clinical routine, IRs provide long-term dose saving.
评估 15000 次计算机断层扫描(CT)检查,以探讨迭代重建(IR)是否能持续降低辐射暴露。
收集了 15000 次 CT 检查的信息,包括检查的各个方面,如扫描参数、患者信息和重建指令。这些检查是在 2010 年 1 月至 2012 年 12 月期间进行的,而在 15 个月后,第一代 IR 算法被安装。为了从 PACS、RIS、MPPS 和结构化报告中收集必要的信息,开发了一个剂量监测系统。为了收集所有可能的信息,集成了光学字符识别系统,例如从 CT 剂量报告的截图中收集信息。该工具将所有数据传输到数据库中进行进一步处理,例如计算有效剂量和器官剂量。为了评估 IR 是否能提供持续的剂量降低,统计分析了有效剂量值与协议类型、诊断指征和患者人群的关系。
IR 有显著降低辐射剂量的潜力。在 IR 临床应用之前,平均有效剂量为 10.1±7.8mSv,而使用 IR 时为 8.9±7.1mSv(p*=0.01)。特别是在 CTA 中,使用降低千伏的协议成为可能,例如在主动脉 CTA(使用 IR 之前:平均 14.2±7.8mSv;中位数 11.4mSv/使用 IR 时:平均 9.9±7.4mSv;中位数 7.4mSv)或肺动脉 CTA(使用 IR 之前:平均 9.7±6.2mSv;中位数 7.7mSv/使用 IR 时:平均 6.4±4.7mSv;中位数 4.8mSv),剂量降低效果显著(p*=0.01)。相反,对于颅部(例如鼻窦)的非增强低剂量扫描,降低并不显著(使用 IR 之前:平均 6.6±5.8mSv;中位数 3.9mSv/使用 IR 时:平均 6.0±3.1mSv;中位数 3.2mSv)。
在 CT 研究中,剂量仍然是一个重点。迭代重建算法在临床常规中持续显著降低辐射剂量。我们的结果表明,IR 不仅在患者数量有限的研究中,而且在临床常规中,都能提供长期的剂量节省。