Assessing chest radiographic quality and the influence of COVID-19 pathology: the Australian experience.

IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Medical Radiation Sciences Pub Date : 2025-01-02 DOI:10.1002/jmrs.852
Peter O'Reilly, Dania Abu Awwad, Sarah Lewis, Ernest Ekpo, Warren Reed
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引用次数: 0

Abstract

Introduction: Quality assurance (QA) in medical imaging ensures consistently high-quality images at acceptable radiation doses. However, the applicability of the chest X-ray (CXR) QA tool in images with pathology, particularly infectious diseases like COVID-19, has not been explored. This study examines the utility of the European Guidelines for image quality in QA of CXRs with varying severity and types of infectious disease.

Methods: A convenient sampling methodology was employed to recruit 25 participants (qualified radiographers: n = 13 and 4th-year undergraduate radiography students: n = 12) to evaluate 70 CXR images using the European Guidelines for image quality in CXRs. The image dataset comprised of COVID-19 and non-COVID-19 cases, which were randomly selected to reflect routine clinical practice variability. Participants independently rated image quality based on 10 criteria in the European guidelines on quality criteria for CXRs using a six-point Likert scale. Image quality ratings of normal and pathological CXR images were compared using a Kruskal-Wallis test. Spearman's ranked order correlation was used to assess the association between quality criteria ratings.

Results: CXRs with no pathology or non-COVID pathologies exhibited statistically higher total QA scores compared to CXRs with COVID-19 and indeterminate COVID-19 (P < 0.001). This trend was evident across various QA factors, especially those associated with patient inspiration. Higher levels of infection corresponded to lower QA ratings. No differences were found between different pathologies regarding the medial border of the scapulae being outside the lung fields.

Conclusions: Severe pathology negatively impacts the technical quality of CXRs with COVID-19 features without necessarily affecting their diagnostic value. The findings emphasise the need to prioritise diagnostic ability over technical quality when evaluating CXRs exhibiting diffuse signs of pathology.

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来源期刊
Journal of Medical Radiation Sciences
Journal of Medical Radiation Sciences RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
3.20
自引率
4.80%
发文量
69
审稿时长
8 weeks
期刊介绍: Journal of Medical Radiation Sciences (JMRS) is an international and multidisciplinary peer-reviewed journal that accepts manuscripts related to medical imaging / diagnostic radiography, radiation therapy, nuclear medicine, medical ultrasound / sonography, and the complementary disciplines of medical physics, radiology, radiation oncology, nursing, psychology and sociology. Manuscripts may take the form of: original articles, review articles, commentary articles, technical evaluations, case series and case studies. JMRS promotes excellence in international medical radiation science by the publication of contemporary and advanced research that encourages the adoption of the best clinical, scientific and educational practices in international communities. JMRS is the official professional journal of the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) and the New Zealand Institute of Medical Radiation Technology (NZIMRT).
期刊最新文献
Assessing chest radiographic quality and the influence of COVID-19 pathology: the Australian experience. Bridging theory and practice: Experiences of diagnostic radiography students during clinical training in resource-constrained settings. Emotional intelligence evaluation tools used in allied health students: A scoping review. Artificial intelligence in radiation therapy treatment planning: A discrete choice experiment. An evaluation of a checklist in musculoskeletal radiographic image interpretation when using artificial intelligence.
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