Autor: |
Shobana Umapathy, Jeevithan Shanmugam, Seetharaman Cannane, Sumathi Natarajan, Mathew Cherian |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss 4, Pp 299-306 (2024) |
Druh dokumentu: |
article |
ISSN: |
2583-7524 |
DOI: |
10.61770/NBEJMS.2024.v02.i04.003 |
Popis: |
Background: The glenohumeral joint is characterized by its ball and socket configuration, offering the widest range of motion among major human joints. However, its shallow glenoid socket predisposes it to instability. This instability is mitigated by static and dynamic stabilizers. Glenoid bone loss, including Osseous Bankart and compression deformity, contributes to recurrent instability. Various imaging modalities, such as CT and MRI, are employed to assess glenoid bone loss, with methods like the Griffith Index and best-fit circle used for quantification. This study aims to evaluate MRI's accuracy in quantifying bone loss in glenoid compared to 3D CT in participants with anterior shoulder instability. Materials and Methods: The research was carried out at a specialized medical facility offering tertiary care services in south India. Approval was obtained from the ethical committee, and consent waiver was granted for PACS utilization. MRI and CT examinations were performed on participants to assess glenoid bone loss. MRI utilized a 1.5-T Ingenia system, while CT scans were conducted using multidetector CT scanners. Image analysis involved the best-fit circle method was employed to quantify bone loss. Results: Fifty-seven male participants with an average age of 30.72 ± 7.32 years participated. Bone loss measurements were comparable between CT and MRI. ICC and correlation coefficients indicated strong agreement between CT and MRI measurements. MRI detected Hill-Sachs lesions more frequently than CT (p |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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