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新型冠状病毒肺炎阳性患者CT严重程度评分系统的观察者间变异性

Interobserver Variability in CT Severity Scoring System in COVID-19 Positive Patients.

作者信息

Jakhotia Yash, Mitra Kajal, Onkar Prashant, Dhok Avinash

机构信息

Radiodiagnosis, NKP Salve Institute of Medical Sciences and Research Centre (IMSRC) and Lata Mangeshkar Hospital, Nagpur, IND.

出版信息

Cureus. 2022 Oct 11;14(10):e30193. doi: 10.7759/cureus.30193. eCollection 2022 Oct.

Abstract

BACKGROUND

Chest CT scans are done in cases of coronavirus disease 2019 (COVID-19)-positive patients to understand the severity of the disease and plan treatment accordingly. Severity is determined according to a 25-point scoring system, however, there could be interobserver variability in using this scoring system thus leading to the different categorization of patients. We tried to look for this interobserver variability and thus find out its reliability.

METHODS

The study was retrospective and was done in a designated COVID center. Some 100 patients were involved in the study who tested positive for COVID-19 disease. The research was conducted over six months (January 2021 to June 2021). Images were given to three radiologists with a minimum of 10 years of experience in thoracic imaging working in different setups at different places for interpretation and scoring further and their scores were compared. Before the study, the local ethics committee granted its approval.

RESULTS

There was no significant variability in the interobserver scoring system thus proving its reliability. The standard deviation between different observers was less than three. There was almost perfect agreement amongst all the observers (Fleiss' K=0.99 [95% confidence interval, CI: 0.995-0.998]). Maximum variations were observed in the moderate class.  Conclusion: There was minimum inter-observer variability in the 25-point scoring system thus proving its reliability in categorizing patients according to severity. There was no change in the class of the patient according to its severity. A 25-point scoring system hence can be used by clinicians to plan treatment and thus improve a patient's prognosis.

摘要

背景

对于新型冠状病毒肺炎(COVID-19)阳性患者,会进行胸部CT扫描以了解疾病的严重程度,并据此制定治疗方案。疾病严重程度是根据一个25分的评分系统来确定的,然而,在使用这个评分系统时可能存在观察者间的差异,从而导致患者分类不同。我们试图寻找这种观察者间的差异,并确定其可靠性。

方法

本研究为回顾性研究,在一个指定的COVID中心进行。约100名COVID-19检测呈阳性的患者参与了本研究。研究持续了六个月(2021年1月至2021年6月)。将图像提供给三位在不同地点、不同机构工作且至少有10年胸部影像诊断经验的放射科医生进行解读和进一步评分,并比较他们的评分。研究前,当地伦理委员会批准了该研究。

结果

观察者间评分系统没有显著差异,从而证明了其可靠性。不同观察者之间的标准差小于3。所有观察者之间几乎完全一致(Fleiss' K = 0.99 [95%置信区间,CI:0.995 - 0.998])。在中度类别中观察到的差异最大。结论:25分评分系统中观察者间差异最小,从而证明其在根据严重程度对患者进行分类方面的可靠性。根据严重程度,患者的类别没有变化。因此,临床医生可以使用25分评分系统来制定治疗方案,从而改善患者的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c723/9648989/75fb07bd9b61/cureus-0014-00000030193-i01.jpg

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