Prevalence of suboptimal frontal chest radiography in PSMMC

Background: Suboptimal frontal chest X-rays (CXRs) can impede accurate diagnosis and delay treatment, highlighting the need to assess their prevalence and identify solutions to improve image quality. This study aimed to determine the prevalence of suboptimal CXRs at a tertiary hospital and propose strategies to enhance radiographic standards. Methods: A retrospective analysis of 505 frontal CXRs was conducted. Each image was classified as adequate or suboptimal based on criteria established by the American College of Radiology (ACR) and European guidelines. Parameters such as patient rotation and inspiratory volume were evaluated to identify technical deficiencies. Statistical analysis was performed to assess associations between patient gender and image quality. Results: The study revealed that 25.7% of CXRs exhibited improper patient rotation, and 25.1% had inadequate inspiratory volume, indicating significant technical shortcomings. No significant association was found between patient gender and image quality. Suboptimal CXRs were prevalent, potentially compromising diagnostic accuracy and patient care. Conclusions: Suboptimal CXRs are common and may hinder effective diagnosis and treatment. To address this, we recommend strengthening CXR acquisition protocols, implementing robust quality control measures, providing technologist re-training, and integrating artificial intelligence (AI) tools for automated quality assessment. These measures can improve radiographic standards and enhance patient outcomes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17385102
Primary Topic
Digital Radiography and Breast Imaging
Type
article
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article

Prevalence of suboptimal frontal chest radiography in PSMMC

Zenodo (CERN European Organization for Nuclear Research)
Digital Radiography and Breast Imaging
article

Prevalence of suboptimal frontal chest radiography in PSMMC

article en

Abstract

Background: Suboptimal frontal chest X-rays (CXRs) can impede accurate diagnosis and delay treatment, highlighting the need to assess their prevalence and identify solutions to improve image quality. This study aimed to determine the prevalence of suboptimal CXRs at a tertiary hospital and propose strategies to enhance radiographic standards. Methods: A retrospective analysis of 505 frontal CXRs was conducted. Each image was classified as adequate or suboptimal based on criteria established by the American College of Radiology (ACR) and European guidelines. Parameters such as patient rotation and inspiratory volume were evaluated to identify technical deficiencies. Statistical analysis was performed to assess associations between patient gender and image quality. Results: The study revealed that 25.7% of CXRs exhibited improper patient rotation, and 25.1% had inadequate inspiratory volume, indicating significant technical shortcomings. No significant association was found between patient gender and image quality. Suboptimal CXRs were prevalent, potentially compromising diagnostic accuracy and patient care. Conclusions: Suboptimal CXRs are common and may hinder effective diagnosis and treatment. To address this, we recommend strengthening CXR acquisition protocols, implementing robust quality control measures, providing technologist re-training, and integrating artificial intelligence (AI) tools for automated quality assessment. These measures can improve radiographic standards and enhance patient outcomes.

Zenodo (CERN European Organization for Nuclear Research)
Riyadh Armed Forces Hospital (SA)
Gender equality
Openalex Percentile: Top 33%
Digital Radiography and Breast Imaging
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