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自动化 CT 重建可减少创伤性全扫描检查完成的时间和变异性。

Automated CT reformations reduce time and variability in trauma panscan exam completion.

机构信息

Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.

出版信息

Emerg Radiol. 2022 Jun;29(3):461-469. doi: 10.1007/s10140-022-02031-7. Epub 2022 Mar 3.

Abstract

PURPOSE

To test the hypothesis that an automated post-processing workflow reduces trauma panscan exam completion times and variability.

METHODS

One-hundred-fifty consecutive trauma panscans performed between June 2018 and December 2019 were included, half before and half after implementation of an automated software-driven post-processing workflow. Acquisition and reconstruction timestamps were used to calculate total examination time (first acquisition to last reformation), setup time (between the non-contrast and contrast-enhanced acquisitions), and reconstruction time (for the contrast-enhanced reconstructions and reformations). The performing technologist was recorded and accounted for in analyses using linear mixed models to assess differences between the pre- and post-intervention groups.

RESULTS

Exam, setup, and recon times were (mean ± standard deviation) 33.5 ± 4.6, 9.2 ± 2.4, and 23.6 ± 4.7 min before and 27.8 ± 1.5, 8.9 ± 1.4, and 18.9 ± 1.7 min after intervention. These reductions of 5.7 and 4.7 min in the mean exam and recon times were statistically significant (p < 0.001) while the setup time was not (p = 0.49). The reductions in standard deviation were statistically significant for exam and recon times (p < 0.0001) but not for setup time (p = 0.13). All automated panscans were completed within 36 min, versus 65% with the traditional workflow.

CONCLUSION

Automation of image reconstruction workflow significantly decreased mean exam and reconstruction times as well as variability between exams, thus facilitating a consistently rapid imaging assessment, and potentially reducing delays in critical management decisions.

摘要

目的

验证假设,即自动化后处理工作流程可减少创伤性全腹部扫描检查的完成时间和变异性。

方法

共纳入 2018 年 6 月至 2019 年 12 月期间连续进行的 150 例创伤性全腹部扫描,扫描前一半,后一半分别在实施自动化软件驱动后处理工作流程前后进行。使用采集和重建时间戳来计算总检查时间(首次采集到最后重建)、设置时间(非增强和增强采集之间)和重建时间(增强重建和重建成像)。在使用线性混合模型进行分析时,记录并考虑了执行技术人员的因素,以评估干预前后组之间的差异。

结果

检查、设置和重建时间分别为(平均值±标准差)33.5±4.6、9.2±2.4 和 23.6±4.7 分钟,干预前和干预后分别为 27.8±1.5、8.9±1.4 和 18.9±1.7 分钟。检查和重建时间的平均时间分别减少了 5.7 和 4.7 分钟,差异有统计学意义(p<0.001),而设置时间差异无统计学意义(p=0.49)。检查和重建时间的标准差减少差异有统计学意义(p<0.0001),而设置时间无统计学意义(p=0.13)。所有自动化全腹部扫描都在 36 分钟内完成,而传统工作流程的完成率为 65%。

结论

图像重建工作流程的自动化显著减少了检查和重建的平均时间以及检查之间的变异性,从而促进了快速成像评估,并可能减少关键管理决策的延迟。

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