ArticleCureus2025
The Use of Magnetic Resonance Imaging in Patients With Shoulder Pain at King Abdulaziz University Hospital.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
6 authors.
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Abstract
objectiveOur study aims to assess the clinical effectiveness of using MRI in diagnosing various shoulder pain-related conditions among patients at King Abdulaziz University Hospital.
methods383 patients who were admitted to King Abdulaziz University Hospital and had shoulder magnetic resonance imaging between January 2020 and July 2024 were studied retrospectively. The dataset was subjected to a thorough statistical analysis using descriptive and inferential approaches. The participants' demographic details, such as age, gender, and other attributes, were first compiled by a descriptive analysis, and then, a summary of the study population was given.
results383 patients were enrolled in our study for MRI evaluation. Of them, 160 (41.8%) were men and 223 (58.2%) were women. The age ranged from 7 to 91 years, and the mean age was 48.4 years. While 120 (31.3%) individuals reported other problems such as motion limitation, trauma, edema, shoulder instability, or other clinical issues, 262 participants (68.4%) indicated shoulder pain as their primary complaint. 174 participants (45.4%) had their left shoulder MRI, and 209 participants (54.6%) had their right shoulder MRI. In contrast to normal MRI findings (n=24, 6.3%). Abnormal findings were more common (n=358, 93.5%).
conclusionOur research further supports the importance of MRI in diagnosing shoulder discomfort and associated disorders. The high frequency of anomalies found by MRI highlights its usefulness as a diagnostic technique. By comparing our results with previous research, we emphasize how crucial it is to combine MRI results with clinical evaluation to inform efficient treatment plans for patients with shoulder disorders. Future studies should focus on resolving existing issues and investigating how sophisticated imaging methods might improve diagnostic precision.
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