Yang Xiangyu, Little Kevin, Jiang Xia, Hintenlang David
Department of Radiology, The Ohio State University College of Medicine, Columbus, OH, USA.
J Appl Clin Med Phys. 2020 May;21(5):98-104. doi: 10.1002/acm2.12879. Epub 2020 Apr 19.
To describe a custom-built, web-based MR Quality Control (QC) database, and to assess its impact on the QC workflow and outcomes in a large U.S. academic medical center.
The MR QC database was built with Microsoft Access 2010 and published on a Microsoft Sharepoint website owned and maintained by the authors' institution. Authorized users can access the database remotely with mainstream web browsers on any institutional computers. QC technologists were granted access to add, review, and print daily and weekly QC records. Qualified medical physicists (QMPs) were granted additional access to edit, review, and approve existing QC records and to change tolerance limits. A macro was utilized to conduct an automatic weekly review of QC status and to email the results to a QMP. This web-based QC database was implemented on 17 clinical MRIs at the authors' institution. Weekly ACR QC findings within one year before and after implementation were compared.
We analyzed 158 QC issues detected by the web-based database and 127 QC issues identified in conventional paper records before we implemented the database. The web-based database significantly reduced the number of QC issues due to technologist error (before/after: 59/24 cases, P < 0.0001) but did not affect the number of QC issues related to scanner performance (before/after: 49/46 cases, P = 1). Further analysis revealed that the web-based database significantly reduced the average time for the QMPs to identify a QC issue (before/after: 177 ± 110/2 ± 2 days, P < 0.0001) and time to correction (before/after: 81 ± 102/7 ± 8 days, P < 0.0001). The correction rate also significantly increased (before/after: 22%/99%, P < 0.0001).
The web-based QC database provides a positive impact on our MR QC workflow and outcomes. It simplifies QC workflow, enables early detection of quality issues, and facilitates quick resolution of problems that may affect the quality of clinical MRI studies.
描述一个定制的、基于网络的磁共振成像（MR）质量控制（QC）数据库，并评估其对美国一家大型学术医疗中心的QC工作流程和结果的影响。
MR QC数据库使用Microsoft Access 2010构建，并发布在作者所在机构拥有和维护的Microsoft Sharepoint网站上。授权用户可以通过任何机构计算机上的主流网络浏览器远程访问该数据库。QC技术人员被授予添加、审查和打印每日和每周QC记录的权限。合格的医学物理学家（QMP）被授予额外权限，可编辑、审查和批准现有QC记录，并更改公差限度。利用一个宏对QC状态进行每周自动审查，并将结果通过电子邮件发送给一名QMP。这个基于网络的QC数据库在作者所在机构的17台临床MRI上实施。比较了实施前后一年内每周的美国放射学会（ACR）QC结果。
我们分析了基于网络的数据库检测到的158个QC问题，以及在实施该数据库之前传统纸质记录中识别出的127个QC问题。基于网络的数据库显著减少了由于技术人员错误导致的QC问题数量（实施前/后：59/24例，P < 0.0001），但不影响与扫描仪性能相关的QC问题数量（实施前/后：49/46例，P = 1）。进一步分析表明，基于网络的数据库显著缩短了QMP识别QC问题的平均时间（实施前/后：177 ± 110/2 ± 2天，P < 0.0001）和纠正时间（实施前/后：81 ± 102/7 ± 8天，P < 0.0001）。纠正率也显著提高（实施前/后：22%/99%，P < 0.0001）。
基于网络的QC数据库对我们的MR QC工作流程和结果产生了积极影响。它简化了QC工作流程，能够早期发现质量问题，并有助于快速解决可能影响临床MRI研究质量的问题。
