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[利用电子表格软件开发CT检查X射线曝光剂量控制工具]

[Development of a X-ray Exposure Dose Control Tool for CT Examination by Using Spreadsheet Software].

作者信息

Sato Akihiro, Furuya Seiji

机构信息

Furuya Urological Clinic.

出版信息

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2023 Feb 20;79(2):142-150. doi: 10.6009/jjrt.2023-1319. Epub 2023 Jan 17.

DOI:10.6009/jjrt.2023-1319
PMID:36653129
Abstract

PURPOSE

We developed X-ray dose monitoring and optimization software for computed tomography (CT) by using a spreadsheet software.

METHODS

The analysis was carried out on 1,212 patients using 2,128 CT examinations at our institution, in the period of April 2020 to April 2022. These cases were extracted in the limitation of patient's weight in the range of 50 to 70 kg. The individual radiation report, including CTDI and DLP, on the console displayed by a CT system was used and manually transferred to our software. The X-ray dose distribution was evaluated by using a boxplot chart and a scatter plot, and the data were referred to Japan DRLs 2020 (National Diagnostic Reference Levels in Japan 2020).

RESULTS

Almost all patient's doses in our institution were distributed in the acceptable ranges in comparison with the Japan DRLs 2020. Neither extremely high nor low dose data were recorded. However, seven cases recorded outlier dose values. Three cases were caused by errors during manually inputting the data. Four from seven cases were explored the reason to record outlier dose values.

CONCLUSION

Our software on a spreadsheet software worked well to explore the CT dose data, such as CTDI and DLP. Our software was able to find cases that were recorded as outlier dose values, but their values were not extremely high/low values. The cautionary notice of either high or low dose, as a function of our software, will be able to keep our patient's CT dose in the universal-standard "justification and optimization" level.

摘要

目的

我们使用电子表格软件开发了用于计算机断层扫描(CT)的X射线剂量监测与优化软件。

方法

在2020年4月至2022年4月期间,对我院1212例患者进行了2128次CT检查,并对这些病例进行了分析。这些病例是从体重在50至70千克范围内的患者中提取的。使用CT系统在控制台显示的包含CTDI和DLP的个体辐射报告,并手动将其传输到我们的软件中。通过箱线图和散点图评估X射线剂量分布,并将数据与日本2020年诊断参考水平(Japan DRLs 2020)进行对照。

结果

与日本2020年诊断参考水平相比,我院几乎所有患者的剂量都分布在可接受范围内。未记录到极高或极低剂量的数据。然而,有7例记录了异常剂量值。其中3例是由于数据手动输入错误导致的。对7例中的4例异常剂量值记录原因进行了探究。

结论

我们基于电子表格软件的软件在探索CT剂量数据(如CTDI和DLP)方面运行良好。我们的软件能够发现被记录为异常剂量值的病例,但其值并非极高/极低。作为我们软件的一项功能,高剂量或低剂量警示通知将能够使我们患者的CT剂量保持在通用标准的“正当性和优化”水平。

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