Aim: To explore the use of Siemens teamplay™ in the establishment of cardiac CT diagnostic reference levels. Introduction: The establishment of diagnostic reference levels (DRLs) in our centre previously utilised manual methods for collection and analysis of data. Data was collected using hardcopy records of each CT scan or more recently using RIS and PACs data for manual analysis. Manual analysis is labour intensive, time consuming andcontinues to be used (1). In our centre we have found RIS data to be difficult to extract and...

Cardiac CT scans from a single CT scanner over a two month period were analysed and subdivided into calcium scoring studies, retrospective coronary studies and prospective coronary studies. Data was filtered by body region and scanner exam protocol. Teamplay™ allowed calculation of the percentage of retrospective studies performed which can be used as a KPI. Data from teamplay™ was validated against the local RIS and PACS data. Individual patient weight was not available on the system.

DRLs were generated for cardiac CT studies and are given in Table 1. Median dose length product and effective dose (3) are shown. 181coronarystudies (including calcium scoring) were carried out in the two month period. 43 studies (24%) wereretrospectivelygated and138 studies (76%) prospectively gated.7 studies requiredconverting from prospective to retrospective gating as a result of heart rate. Median Dose Length Product (DLP) was 344 mGy.cm for prospective and 876 mGy.cm for retrospective studies.63 calcium scoring only studies were carried out in the two month period...

Teamplay™ provided a method for establishment of cardiac CT DRLs and KPIs. In the absence of national DRL data for cardiac studies, it is useful to have the global data base to benchmark these studies against. However care should be taken when comparing global data as mapping and identification of studies can be problematic. It was found that mapping of protocols was complex and involved both the scanner and the local PACS resulting in incorrect mapping of some procedures. Filtering by body region was found...

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