Prevalence of suboptimal frontal chest radiography in PSMMC
Year: 2025
Type: article
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.
Authors: Alghamdi, Qusay Ahmed, Alharbi, Rakan Inad, Harbi, Omar Jizza Al, Aldossri, Nouf Shafi, Algharrash, Mariam Ahmed, Alsoqiani, Majed Zaar, Almalki, Mohammed A, Alotaibi, Mohammed Nasser, Olayan, Mohammed Saad, Alqahtani, Abdulaziz Farraj, DOLQOO, SHURUQ ABDULLH
Institution: Riyadh Armed Forces Hospital
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7092367165
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