DIAGNOSTIC IMAGING APPROACHES FOR SUBACROMIAL IMPINGEMENT SYNDROME
Clinical medicine

DIAGNOSTIC IMAGING APPROACHES FOR SUBACROMIAL IMPINGEMENT SYNDROME

Published 2025-08-28

Authors:

A.Y. Akhundova

Abstract:
This study presents a structured diagnostic algorithm for subacromial impingement syndrome, incorporating radiography, MRI, and CT imaging, with a focus on diagnostic accuracy and treatment planning. MRI demonstrated high specificity (100 %) and moderate sensitivity (79 %) for subacromial impingement syndrome, with 76 % overall accuracy. Fracture evaluation showed 84 % accuracy, with CT and 3D reconstruction proving valuable in assessing fragment displacement. Imaging revealed tendon ruptures, joint space narrowing, fluid accumulation, and edema in key anatomical regions. The algorithm facilitated early diagnosis and guided appropriate intervention, leading to favorable clinical outcomes. Its application in post-traumatic cases enabled precise localization of pathology, supporting both surgical and conservative management strategies. These findings underscore the importance of multimodal imaging and structured diagnostic pathways in optimizing outcomes for patients with subacromial impingement syndrome, and related shoulder injuries.
Keywords:
subacromial impingement syndrome MRI CT shoulder injury tendon rupture diagnostic algorithm
References:
  1. Amirova M, Taghiyeva A. Specific biochemical indicators and inflammatory markers in rheumatoid arthritis (RA). Advances in Biology & Earth Sciences, 2024; 9(1), 175–183. https://doi.org/10.62476/abes9175.
  2. Ashour AY, Zwiri AMA, Ali AH, Mostafa AM, Moustafa BEA, El Boraey HF et al. Dynamic high resolution US as primary tool in comparison to MRI in evaluation of TMJ disk anterior displacement. Transl Res Anat, 2025; 39, 100385. https://doi.org/10.1016/j.tria.2025.100385.
  3. Bacha R, Gilani SA, Hanif A, Manzoor I. Interobserver agreement on the sonographic severity grading of shoulder impingement syndrome. Ultrasound J, 2022; 14(1), 22. https://doi.org/10.1186/s13089-022-00272-8.
  4. Bağcıer F, Geler Külcü D, Yorulmaz E, Altunok EÇ. Intra and inter rater reliability of ultrasound measurements of supraspinatus tendon thickness, acromiohumeral distance, and occupation ratio in patients with shoulder impingement syndrome. Arch Rheumatol, 2020; 35(3), 385–393. https://doi.org/10.46497/ArchRheumatol.2020.7515.
  5. El-sharkawi M, Salem A, El-sharkawi A. The diagnostic value of dynamic ultrasonography compared to MRI in shoulder impingement syndrome. Egypt J Radiol Nucl Med, 2020; 51(1), 1–7. https://doi.org/10.1186/s43055-019-0107-7.
  6. El-Shewi IEHA, El Azizy HM, Gadalla AAH. Role of dynamic ultrasound versus MRI in diagnosis and assessment of shoulder impingement syndrome. Egypt J Radiol Nucl Med, 2019; 50, 100. https://doi.org/10.1186/s43055-019-0107-7.
  7. Gowda CS, Mirza K, Galagali DA. (). Rotator cuff tears: Correlation between clinical examination, magnetic resonance imaging and arthroscopy. Cureus, 2024; 16(3), e56065. https://doi.org/10.7759/cureus.56065.
  8. Lewis C, Wahlström J, Mukka S, Liv P, Järvholm B, Jackson JA. Surgery for subacromial impingement syndrome and occupational biomechanical risk factors in a 16-year prospective study among male construction workers. Scand J Work Environ Health, 2023; 49(2), 156–163. https://doi.org/10.5271/sjweh.4075.
  9. Lin CY, Chou CC, Chen LR, Wu WT, Hsu PC, Yang TH, Chang KV. Quantitative analysis of dynamic subacromial ultrasonography: Reliability and influencing factors. Front Bioeng Biotechnol, 2022; 10, 830508. https://doi.org/10.3389/fbioe.2022.830508.
  10. Sconfienza LM, Albano D, Allen G, Bignotti B, Chianca V, Vezzani A. Dynamic ultrasound of the shoulder: How, when, and why. Insights Imaging, 2022; 13(1), 40. https://doi.org/10.1186/s13244-022-01160-z.
  11. Wu WT, Lin CY, Shu YC, Chen LR, Özçakar L, Chang KV. Subacromial motion metrics in painful shoulder impingement: A dynamic quantitative ultrasonography analysis. Arch Phys Med Rehabil, 2023; 104(2), 260–269. https://doi.org/10.1016/j.apmr.2022.08.004.
  12. Wu WT, Lin CY, Shu YC, Chen LR, Özçakar L, Chang KV. Predictive value of subacromial motion metrics for the effectiveness of ultrasound-guided dual-target injection: A longitudinal follow-up cohort trial. Insights Imaging, 2025; 16(1), 145. https://doi.org/10.1186/s13244-025-01989-5.
  13. Zubair M, Hussain M, Albashrawi MA, Bendechache M, Owais M. A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis. Comput Methods Programs Biomed, 2025; 272, 109014. https://doi.org/10.1016/j.cmpb.2025.109014.
Publication:
«World of Medicine and Biology» Vol. 21 No. 93 (2025) , с. 23-27
УДК 616.728.3-073+616-073.75+616-073.76