Factors influencing duration of neonatal cranial ultrasound: A pilot study of retrospective data

IF 0.4 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Sonography Pub Date : 2022-09-01 DOI:10.1002/sono.12320
Naomi Dare, Mary‐Anne Ramis
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引用次数: 1

Abstract

Thank you to the authors for their commentary and raising the important point of appropriate statistical model. Our project accurately identified significant differences between number of sonographers undertaking neonatal cranial ultrasound and overall scan duration, as well as between scan duration for babies with pathology present compared to those who had no pathology detected. We would like to reiterate that the impetus for this study was to conduct a single site examination of retrospective data to describe factors that influenced scan time in our context. We did receive advice from a statistician and study limitations are clearly reported in our published article. As suggested by the author of the letter to the editor, we conducted further analysis of our data. We agree that using general linear models (GLM) are useful for taking into consideration aspects of the data, which are problematic to standard regression analysis. As per our published paper we entered the variables of number of scan operators and presence of pathology into the model as these were two variables significantly correlated with the outcome variable of estimated scan duration. For the GLM, the variables were entered as main effects and with consideration of any interaction effect between presence of pathology and number of operators. The categorical variables had been recoded with dummy variables and were entered as fixed factors. The overall corrected model remained significant: R = .32; adjusted R = .31 (F = 30.95, df = 3, p = <.001). The GLM identified that when two operators conducted the scan, the average scan duration took significantly longer compared to
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影响新生儿颅超声持续时间的因素:回顾性资料的初步研究
感谢作者的评论,并提出了适当的统计模型的重要性。我们的项目准确地识别了进行新生儿颅超声检查的超声医师数量与总体扫描时间之间的显著差异,以及存在病理的婴儿与未发现病理的婴儿的扫描时间之间的显著差异。我们想重申,这项研究的动机是对回顾性数据进行单点检查,以描述在我们的背景下影响扫描时间的因素。我们确实收到了一位统计学家的建议,并且在我们发表的文章中清楚地报告了研究的局限性。根据作者给编辑的信的建议,我们对我们的数据进行了进一步的分析。我们同意使用一般线性模型(GLM)对于考虑数据的各个方面是有用的,这对标准回归分析是有问题的。根据我们发表的论文,我们将扫描操作员数量和病理存在的变量输入到模型中,因为这两个变量与估计扫描持续时间的结果变量显着相关。对于GLM,将变量作为主要影响输入,并考虑病理存在与操作人员数量之间的任何相互作用效应。分类变量用虚拟变量重新编码,并作为固定因素输入。整体校正模型仍然显著:R = 0.32;调整后R = 0.31 (F = 30.95, df = 3, p = <.001)。GLM发现,当两个作业者进行扫描时,平均扫描时间明显长于
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来源期刊
Sonography
Sonography RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
0.80
自引率
0.00%
发文量
44
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