Accuracy and inter‐rater agreement among practitioners using quick thoracic ultrasonography to diagnose calf pneumonia

Author:

Jourquin Stan1ORCID,Lowie Thomas1ORCID,Bokma Jade1ORCID,Pardon Bart1ORCID

Affiliation:

1. Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine Ghent University Merelbeke Belgium

Abstract

AbstractBackgroundThoracic ultrasonography (TUS) is a commonly used tool for on‐farm detection of pneumonia in calves. Different scanning methods have been described, but the performance of novice practitioners after training has not been documented.MethodsIn this study, 38 practitioners performed quick TUS (qTUS) on 18–23 calves each. Pneumonia was defined as lung consolidation 1 cm or more in depth. Diagnostic parameters (accuracy [Acc], sensitivity [Se] and specificity [Sp]) were compared to those of an experienced operator. Cohen's kappa and Krippendorff's alpha (Kalpha) were determined. The potential effects of training and exam sessions on performance were evaluated.ResultsThe average relative Se and Sp were 0.66 (standard deviation [SD] = 0.26; minimum [Min.]–Maximum [Max.] = 0–1) and 0.71 (SD = 0.19; Min.–Max. = 0.25–1), respectively. The average relative Acc was 0.73 (SD = 0.11; Min.–Max. = 0.52–0.96). Over all sessions, Cohen's kappa averaged 0.40 (SD = 0.24; Min.–Max. = 0.014–0.90) and Kalpha was 0.24 (95% confidence interval [CI]: 0.20–0.27), indicating ‘fair’ agreement. Calf age and housing influenced Se and Sp. Supervised practical training improved Se by 17.5% (95% CI: 0.01–0.34).LimitationsThe separate effects of calf age and housing could not be determined.ConclusionThis study showed that qTUS, like any other clinical skill, has a learning curve, and variability in performance can be substantial. Adequate training and certification of one's skill are recommended to assure good diagnostic accuracy.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3