The microcirculation image quality score: Development and preliminary evaluation of a proposed approach to grading quality of image acquisition for bedside videomicroscopy
The microcirculation image quality score: Development and preliminary evaluation of a proposed approach to grading quality of image acquisition for bedside videomicroscopy
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DOI:
10.1016/j.jcrc.2013.06.015
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发表时间:
2013-12-01
影响因子:
3.7
通讯作者:
Shapiro, Nathan I.
中科院分区:
文献类型:
--
作者:
Massey, Michael J.;LaRochelle, Ethan;Shapiro, Nathan I.
Purpose: Side-stream dark-field microscopy is currently used to directly visualize sublingual microcirculation at the bedside. Our experience has found inherent technical challenges in the image acquisition process. This article presents and assesses a quality assurance method to rate image acquisition quality before analysis.Materials and Methods: We identified 6 common image capture and analysis problem areas in sublingual sidestream dark-field videos: illumination, duration, focus, content, stability, and pressure. We created the "Microcirculation Image Quality Score" by assigning a score of optimal (0 points), suboptimal but acceptable (1 point), or unacceptable (10 points) to each category (for further details, go to http://www.MicroscanAnalysis.blogspot.com). We evaluated 59 videos froma convenience sample of 34 unselected, noncritically ill emergency department patients to create a test set. Two raters, blinded to each other, implemented the score. Any video with a cumulative score of 10 or higher (range, 0-60) was considered unacceptable for further analysis.Results: We created the Microcirculation Image Quality Score and applied it to 59 videos. For this particular set of 59 videos, the mean (SD) passing quality score was 1.68 (0.90), and the mean (SD) failing quality score was 15.74 (6.19), with 27 of 59 passing the quality score less than 10. Highest failure occurred frompressure artifact. The interrater agreement for acceptability was assessed using Cohen. for each category: illumination (kappa = 1.0), duration (kappa = 1.0), focus (kappa = 0.91), content (kappa = 0.76), stability (kappa = 0.71), and pressure (kappa = 0.82) and overall pass-fail rates (score N10) (kappa = 0.66).Conclusion: OurMicrocirculation Image Quality Score addressesmany of the common areas where video quality can degrade. The criteria introduced are an objectiveway to assess the quality of image acquisition, with the goal of selecting videos of adequate quality for analysis. The interrater reliability results in our preliminary study suggest that the Microcirculation Image Quality Score is reasonably repeatable between reviewers. Further assessment is warranted. (C) 2013 Published by Elsevier Inc.