Department of Orthopaedic Surgery, School of Medicine, University of Missouri, 1100 Virginia Ave, Columbia, MO, 65201, USA.
Thompson Laboratory for Regenerative Orthopaedics, University of Missouri, Columbia, MO, USA.
Spine Deform. 2024 Jan;12(1):119-124. doi: 10.1007/s43390-023-00761-3. Epub 2023 Sep 13.
Although several studies have reported on the application of biplanar stereo-radiographic technology in pediatric clinical practice, few have performed large-scale analyses. The manual extraction of these types of data is time-consuming, which often precludes physicians and scientists from effectively utilizing these valuable measurements. To fill the critical gap between clinical assessments and large-scale evidence-based research, we have addressed one of the primary hurdles in using data derived from these types of imaging modalities in pediatric clinical practice by developing an application to automatically transcribe and aggregate three-dimensional measurements in a manner that facilitates statistical analyses.
Mizzou 3D SPinE was developed using R software; the application, instructions, and process were beta tested with four separate testers. We compared 1309 manually compiled three-dimensional deformity measurements derived from thirty-five biplanar three-dimensional reconstructions (image sets) from ten pediatric patients to those derived from Mizzou 3D SPinE. We assessed the difference between manually entered values and extracted values using a Fisher's exact test.
Mizzou 3D SPinE significantly reduced the duration of data entry (95.8%) while retaining 100% accuracy. Manually compiled data resulted in an error rate of 1.58%, however, the magnitude of errors ranged from 5.97 to 2681.82% significantly increased the transcription accuracy (p value < 0.0001) while also significantly reducing transcription time (0.33 vs. 8.08 min).
Mizzou 3D SPinE is an essential component in improving evidence-based patient care by allowing clinicians and scientists to quickly compile three-dimensional data at regular intervals in an automated, efficient manner without transcription errors.
尽管已有多项研究报告了双平面立体射线照相技术在儿科临床实践中的应用，但大规模分析的研究较少。手动提取这些类型的数据非常耗时，这往往使医生和科学家无法有效地利用这些有价值的测量值。为了弥合临床评估与基于大规模证据的研究之间的关键差距，我们通过开发一种应用程序来自动转录和汇总三维测量值，从而为儿科临床实践中使用这些类型的成像方式得出的数据提供了一种方法，以促进统计分析。
Mizzou 3D SPinE 使用 R 软件进行开发；应用程序、说明和流程由四位独立测试人员进行了测试。我们比较了从十个儿科患者的三十五个双平面三维重建（图像集）中手动编译的 1309 个三维畸形测量值与 Mizzou 3D SPinE 得出的测量值。我们使用 Fisher 精确检验评估了手动输入值和提取值之间的差异。
Mizzou 3D SPinE 显著减少了数据输入的时间（95.8%），同时保持了 100%的准确性。手动编译的数据导致错误率为 1.58%，但错误幅度从 5.97%到 2681.82%不等，这显著提高了转录的准确性（p 值<0.0001），同时也显著减少了转录时间（0.33 分钟对 8.08 分钟）。
Mizzou 3D SPinE 是通过允许临床医生和科学家以自动化、高效的方式定期快速编译三维数据，而不会产生转录错误，从而改善基于证据的患者护理的重要组成部分。
