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用于评估胸部X光片上中心静脉导管位置的搜索模式训练

Search pattern training for evaluation of central venous catheter positioning on chest radiographs.

作者信息

Auffermann William F, Krupinski Elizabeth A, Tridandapani Srini

机构信息

Emory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia, United States.

Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States.

出版信息

J Med Imaging (Bellingham). 2018 Jul;5(3):031407. doi: 10.1117/1.JMI.5.3.031407. Epub 2018 Mar 15.

Abstract

The goal of this research was to examine whether search pattern training for central line positioning on chest radiographs (CXRs) improves the ability of healthcare trainees and practitioners to identify malpositioned central venous catheters. Two sets of CXRs with central catheters were shown; half of the images contained catheters that were appropriately positioned, half that were malpositioned. Subjects were asked to: mark the tip of the catheter using the simulated radiology workstations, indicate their confidence in tip localization, and state whether the catheter was appropriately positioned or malpositioned. Subjects were also given a survey assessing their thoughts about the usefulness of search pattern training and the simulated radiology workstation. There was a significant improvement in subjects' ability to classify a catheter as malpositioned after training, [Formula: see text]-value = 0.03. There was no significant difference in localization of the catheter tips or in the confidence for tip localization. Subjects' responses to the questionnaire were significantly positive for all statements, indicating that they felt search pattern training using a simulated radiology workstation had a positive impact on their education. These results suggest that our knowledge of medical image perception may be useful for developing rational educational tools for image interpretation, and that simulated radiology workstations may be a helpful means of deploying these tools.

摘要

本研究的目的是检验针对胸部X光片(CXR)上中心静脉导管定位的搜索模式训练,是否能提高医护学员和从业者识别位置不当的中心静脉导管的能力。展示了两组带有中心静脉导管的胸部X光片;一半的图像包含位置正确的导管,另一半包含位置不当的导管。要求受试者:使用模拟放射学工作站标记导管尖端,表明他们对尖端定位的信心,并说明导管位置是否正确。还对受试者进行了一项调查,评估他们对搜索模式训练和模拟放射学工作站有用性的看法。训练后,受试者将导管判定为位置不当的能力有显著提高,[公式:见原文],P值 = 0.03。导管尖端定位或尖端定位信心方面无显著差异。受试者对问卷所有陈述的回答均呈显著阳性,表明他们认为使用模拟放射学工作站进行搜索模式训练对其教育有积极影响。这些结果表明,我们对医学图像感知的了解可能有助于开发合理的图像解读教育工具,且模拟放射学工作站可能是部署这些工具的有用手段。

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本文引用的文献

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3
Teaching search patterns to medical trainees in an educational laboratory to improve perception of pulmonary nodules.
J Med Imaging (Bellingham). 2016 Jan;3(1):011006. doi: 10.1117/1.JMI.3.1.011006. Epub 2015 Nov 6.
4
Simulation for Teaching and Assessment of Nodule Perception on Chest Radiography in Nonradiology Health Care Trainees.
J Am Coll Radiol. 2015 Nov;12(11):1215-22. doi: 10.1016/j.jacr.2015.07.014. Epub 2015 Sep 28.
5
Intensive care unit imaging.
Clin Chest Med. 2015 Jun;36(2):219-34, viii. doi: 10.1016/j.ccm.2015.02.006. Epub 2015 Apr 1.
6
Statistical grand rounds: a review of analysis and sample size calculation considerations for Wilcoxon tests.
Anesth Analg. 2013 Sep;117(3):699-710. doi: 10.1213/ANE.0b013e31827f53d7. Epub 2013 Mar 1.
8
Current perspectives in medical image perception.
Atten Percept Psychophys. 2010 Jul;72(5):1205-17. doi: 10.3758/APP.72.5.1205.
9
The incidence and risk of central venous catheter malpositioning: a prospective cohort study in 1619 patients.
Anaesth Intensive Care. 2008 Jan;36(1):30-7. doi: 10.1177/0310057X0803600106.
10
Simulation-based training: the next revolution in radiology education?
J Am Coll Radiol. 2007 Nov;4(11):816-24. doi: 10.1016/j.jacr.2007.07.013.

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