Development and prospective evaluation of an automated software system for quality control of quantitative 99mTc-MAG3 renal studies.
Development and prospective evaluation of an automated software system for quality control of quantitative 99mTc-MAG3 renal studies.
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发表时间：
2007-03
影响因子：
1.3
通讯作者：
R. Folks;Ernest V. Garcia;Andrew T. Taylor
中科院分区：
文献类型：
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作者：
R. Folks;Ernest V. Garcia;Andrew T. Taylor
未标记的定量核重描记有许多潜在的误差来源。我们之前报告了一个计算机软件模块的初步开发，用于全面解决放射性核素肾脏图像分析中的质量控制(QC)问题。本研究的目的是对QC软件进行前瞻性测试。方法QC软件与使用肾脏量化程序的标准定量肾脏图像分析相结合。该软件保存了一个文本文件，其中汇总了QC结果，如用户输入的值中可能存在的错误、由于患者的临床情况而可能不可靠的计算值，以及与采集或处理相关的问题。为了测试QC软件，一位没有参与软件开发的技术专家处理了83项连续的非移植临床研究。然后将该软件的质量控制结果列成表格。QC事件被定义为技术性(超出范围或输入后被更改、异常大小或位置的感兴趣区域、或动态图像集中缺失的帧)或临床(被判断为错误或不可靠的计算功能值)。结果在83项研究中，36项(43%)确定了技术性QC事件。83项研究中有37项(45%)确定了临床QC事件。具体的质控事件包括在丸剂到达肾脏后启动相机、剂量渗透、背景活动过度减去以及动态图像集中缺失帧。结论已开发的QC软件可自动验证用户输入、监控肾功能参数的计算、汇总QC结果，并为核医学医生标记可能不可靠的值。将自动质量控制功能整合到商业或本地肾脏软件中可以减少错误，提高技术人员的表现，并应提高图像解释的效率和准确性。
UNLABELLED Quantitative nuclear renography has numerous potential sources of error. We previously reported the initial development of a computer software module for comprehensively addressing the issue of quality control (QC) in the analysis of radionuclide renal images. The objective of this study was to prospectively test the QC software. METHODS The QC software works in conjunction with standard quantitative renal image analysis using a renal quantification program. The software saves a text file that summarizes QC findings as possible errors in user-entered values, calculated values that may be unreliable because of the patient's clinical condition, and problems relating to acquisition or processing. To test the QC software, a technologist not involved in software development processed 83 consecutive nontransplant clinical studies. The QC findings of the software were then tabulated. QC events were defined as technical (study descriptors that were out of range or were entered and then changed, unusually sized or positioned regions of interest, or missing frames in the dynamic image set) or clinical (calculated functional values judged to be erroneous or unreliable). RESULTS Technical QC events were identified in 36 (43%) of 83 studies. Clinical QC events were identified in 37 (45%) of 83 studies. Specific QC events included starting the camera after the bolus had reached the kidney, dose infiltration, oversubtraction of background activity, and missing frames in the dynamic image set. CONCLUSION QC software has been developed to automatically verify user input, monitor calculation of renal functional parameters, summarize QC findings, and flag potentially unreliable values for the nuclear medicine physician. Incorporation of automated QC features into commercial or local renal software can reduce errors and improve technologist performance and should improve the efficiency and accuracy of image interpretation.