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Analysis of a multicentre cloud-based CT dosimetric database: preliminary results.
European Radiology Experimental Pub Date : 2019-07-16 , DOI: 10.1186/s41747-019-0105-6
Francesca Calderoni 1 , Federica Campanaro 1 , Paola Enrica Colombo 1 , Mauro Campoleoni 2 , Cristina De Mattia 1 , Federica Rottoli 1 , Giannicola Galetta 3 , Fabio Zucconi 3 , Andrea Pola 4 , Andrea Righini 5 , Fabio Triulzi 6 , Angelo Vanzulli 7 , Alberto Torresin 1
Affiliation  

Background

To manage and analyse dosimetric data provided by computed tomography (CT) scanners from four Italian hospitals.

Methods

A radiation dose index monitoring (RDIM) software was used to collect anonymised exams stored in a cloud server. Since hospitals use different names for the same procedure, digital imaging and communications in medicine (DICOM) tags more appropriate to describe exams were selected and associated to study common names (SCNs) from a radiology playbook according to scan region and use of contrast media. Retrospective analysis was carried out to describe population and to evaluate dosimetric indexes and inaccuracies associated with SCNs.

Results

More than 400 procedures were clustered into 95 SCNs, but 78% of exams on adults were described with only 10 SCNs. Median values of dose-length product (DLP) and volumetric CT dose index (CTDIvol) for three analysed SCNs were in agreement with those previously published. The percentage of inaccuracies does not heavily affect the dosimetric analysis on the whole cloud, since variations in median values reached at most 8%.

Conclusions

Implementation of a cloud-based RDIM software and related issues were described, showing the strength of the chosen playbook-based clustering and its usefulness for homogeneous data analysis. This approach may allow for optimisation actions, accurate assessment of the risk associated with radiation exposure, comparison of different facilities, and, last but not least, collection of information for the implementation of the 2013/59 Euratom Directive.


中文翻译:

基于云的多中心CT剂量数据库的分析:初步结果。

背景

管理和分析来自意大利四家医院的计算机断层扫描(CT)扫描仪提供的剂量数据。

方法

辐射剂量指数监控(RDIM)软件用于收集存储在云服务器中的匿名检查。由于医院对同一程序使用不同的名称,因此选择了更适合描述检查的数字成像和医学通讯(DICOM)标签,并根据扫描区域和造影剂的使用,将它们与放射学手册中的通用名(SCN)进行了关联。进行了回顾性分析,以描述种群并评估与SCN相关的剂量指数和不准确性。

结果

超过400种程序被聚集到95个SCN中,但是描述了78%的成年人考试只有10个SCN。三个被分析的SCN的剂量长度乘积(DLP)和体积CT剂量指数(CTDI vol)的中值与先前发表的那些一致。错误值的百分比不会严重影响整个云的剂量分析,因为中值的变化最多达到8%。

结论

描述了基于云的RDIM软件的实现和相关问题,显示了所选基于剧本的聚类的优势及其在同类数据分析中的有用性。这种方法可以采取优化措施,准确评估与辐射暴露相关的风险,比较不同设施,最后但并非最不重要的是,为实施2013/59 Euratom指令收集信息。
更新日期:2019-07-16
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