Faculty of Medicine, Imperial College London, London, United Kingdom; Department of Radiology, Charing Cross Hospital, Imperial NHS Trust, Fulham Palace Rd, London W6 8RF, UK.
Department of Radiology, Faculty of Medicine, Helen Joseph Hospital, University of the Witwatersrand, Johannesburg, South Africa.
J Med Imaging Radiat Sci. 2022 Dec;53(4):623-632. doi: 10.1016/j.jmir.2022.08.004. Epub 2022 Sep 6.
Lateral chest radiographs aid in paediatric clinical practice in countries where the diagnosis of primary pulmonary tuberculosis (PTB) still relies heavily on the chest radiograph. This study aimed to create a validated quality assurance (QA) tool investigating the diagnostic performance of this projection by applying this to a database of lateral chest radiographs in children with suspected PTB.
The QA tool was built to include a compilation of criteria from the different sources, accompanied by graphic representations and objective measurements where appropriate. Each defined criterion (radiographic error) was evaluated by implementing the QA tool on 300 radiographs, scored by three readers. The sample was subjected to two separate sets of data analysis, based on averages, and on majority decision methodology.
The QA tool was based on existing published criteria, as well as under-collimation and under-inspiration, two de novo criteria. For the total 900 reads, errors were categorized as patient-related in 681 (75.7%) and radiographer-related in 421 (46.8%) and 122 (13.6%) had no errors. The average number of errors per radiograph ranged from 0.9 to 4.7 errors out of the 11 quality factors reviewed. When considering the majority decision, the median errors per radiograph was 1 (IQR 1-2) (range 0-5). Inter-rater agreement varied for different criteria.
A novel QA tool for evaluating lateral chest radiographs was developed which requires further efforts of refinement regarding criteria such as exposure, field of view: under-collimation, and motion artifact, which remain subjective. The designed QA tool will allow comparison of radiograph quality before and after interventions. Furthermore, the tool can be used in tackling childhood PTB in low- and middle-income countries (LMICs) since the hallmark of the disease is lymphadenopathy, which is often depicted best on lateral chest radiographs.
在那些仍严重依赖 X 光胸片来诊断原发性肺结核(PTB)的国家,侧位胸片有助于儿科临床实践。本研究旨在创建一个经过验证的质量保证(QA)工具,通过将其应用于疑似 PTB 儿童的侧位胸片数据库,来研究该投影的诊断性能。
QA 工具的构建包括从不同来源编译的标准,同时附有图形表示和适当的客观测量。每个定义的标准(放射学误差)都通过在 300 张 X 光片上应用 QA 工具来评估,由三位读者评分。该样本进行了两组独立的数据分析,基于平均值和多数决策方法。
QA 工具基于现有的已发表标准,以及欠曝光和欠吸气这两个新的标准。对于总共 900 次阅读,错误分为与患者相关的 681 次(75.7%)、与放射技师相关的 421 次(46.8%)和 122 次(13.6%)无错误。每张 X 光片的平均错误数从 11 个质量因素中审查的 0.9 到 4.7 个不等。考虑到多数决策,每张 X 光片的中位数错误数为 1(IQR 1-2)(范围 0-5)。不同标准的组内一致性不同。
开发了一种用于评估侧位胸片的新型 QA 工具,需要进一步努力完善标准,例如曝光、视野:欠曝光和运动伪影,这些标准仍然是主观的。设计的 QA 工具将允许比较干预前后的 X 光片质量。此外,该工具可用于解决低收入和中等收入国家(LMIC)的儿童肺结核问题,因为该病的标志是淋巴结病,通常在侧位胸片上最佳显示。