EVALUATING SHOULDER JOINT PATHOLOGIES USING MRI: A PROSPECTIVE STUDY IN A TERTIARY CARE SETTING
Main Article Content
Keywords
Shoulder Pain, MRI, Rotator Cuff Disorders, Tendon Pathologies, Orthopedics, Diagnostic Imaging
Abstract
Background: Shoulder joint pain is a common musculoskeletal complaint, posing diagnostic challenges due to the complex anatomy and diverse pathologies of the shoulder. This study aims to evaluate the efficacy of Magnetic Resonance Imaging (MRI) in diagnosing various shoulder joint pathologies.
Methods: A prospective analysis was conducted at a tertiary care hospital, involving 100 patients with shoulder joint pain. The study spanned from January 2019 to December 2019. Patients aged 18 to 80 years, referred for shoulder MRI, were included, excluding those with metallic prostheses or known metabolic bone disorders. MRI examinations were performed using a GE Signa 1.5 Tesla system, and the data were analyzed using R software.
Results: The study group was predominantly male (78%), with the highest incidence of shoulder pathologies in the 21-30 age group (29%). The Supraspinatus tendon was most commonly affected (69% of cases). MRI findings included tendon tears, tendinosis, and joint effusions, with osteoarthritis of the acromioclavicular joint being the most common bone pathology (40%). Labral pathologies like Cartilaginous Bankart lesions were also significant.
Conclusion: MRI proves to be a crucial diagnostic tool in evaluating shoulder pathologies, offering detailed insights into soft tissue structures. The study highlights the prevalence of rotator cuff disorders, particularly in younger males. Future research with larger sample sizes and diverse populations is recommended for broader insights.
Methods: A prospective analysis was conducted at a tertiary care hospital, involving 100 patients with shoulder joint pain. The study spanned from January 2019 to December 2019. Patients aged 18 to 80 years, referred for shoulder MRI, were included, excluding those with metallic prostheses or known metabolic bone disorders. MRI examinations were performed using a GE Signa 1.5 Tesla system, and the data were analyzed using R software.
Results: The study group was predominantly male (78%), with the highest incidence of shoulder pathologies in the 21-30 age group (29%). The Supraspinatus tendon was most commonly affected (69% of cases). MRI findings included tendon tears, tendinosis, and joint effusions, with osteoarthritis of the acromioclavicular joint being the most common bone pathology (40%). Labral pathologies like Cartilaginous Bankart lesions were also significant.
Conclusion: MRI proves to be a crucial diagnostic tool in evaluating shoulder pathologies, offering detailed insights into soft tissue structures. The study highlights the prevalence of rotator cuff disorders, particularly in younger males. Future research with larger sample sizes and diverse populations is recommended for broader insights.
References
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20. Farley TE, Neumann CH, Steinbach LS. Full-thickness tears of the rotator cuff of the shoulder: Diagnosis with MR imaging. AJR Am J Roentgenol 1992; 158:347-51.
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23. Dr. Shailaja Prashanth, Dr. Naveen Kumar. Accuracy of MRI in diagnosing rotator cuff and labral tears of shoulder. Int J Orthop Sci 2020;6(2):01-04.
DOI: 10.22271/ortho.2020.v6.i2a.2008.
24. Runkel M, Kreitner KF, Wenda K, Rudig L, Degreif J, Grebe P (1993) MRI in shoulder dislocation. Unfallchirurg 96:124-128 22.
2. Burbank KM, Stevenson JH, Czarnecki GR, Dorfman J. Chronic shoulder pain. Part I. Evaluation and diagnosis. Am Fam Physician 2008; 77:453– 460
3. Lambert A, Loffroy R, Guiu B, Mejean N, Lerais J, Cercueil J, et al. [Rotator cuff tears: value of 3.0T MRI.]. J Radiol. 2009 May. 90(5 Pt 1):583-8. [Medline].
4. de Jesus JO, Parker L, Frangos AJ, Nazarian LN. Accuracy of MRI, MR arthrography, and ultrasound in the diagnosis of rotator cuff tears: a meta- analysis. AJR Am J Roentgenol. 2009 Jun. 192(6):1701-7. [Medline].
5. Burks RT, Crim J, Brown N, Fink B, Greis PE. A prospective randomized clinical trial comparing arthroscopic single- and double-row rotator cuff repair: magnetic resonance imaging and early clinical evaluation. Am J Sports Med. 2009 Apr. 37(4):674-82. [Medline].
6. Murray PJ, Shaffer BS. Clinical update: MR imaging of the shoulder. Sports Med Arthrosc. 2009 Mar. 17(1):40-8. [Medline].
7. Yoav Morag, Jon A Jacobson, Bruce Miller, Michel De Maeseneer, Gandikota Girish, David Jamadar. MR Imaging of rotator cuff injury: What the clinician needs to know. Radiographics 2006;26:1045-65.
8. Alan D Massengill, Leanne L Seege, Lawrence Yao, Amilcare Gentili, Ronald C Shnier, Matthew S Shapiro, Richanrd H Gold. Labrocapsular ligamentous complex of the shoulder: Normal Anatomy, Anatomic Variation and Pitfalls of MR Imaging and MR Arthrography. Radiographics 1994;14:1211-23.
9. Steven DN, Michael BZ,Jerry S,Brian J,John W.MR Imaging of the Rotator cuff: Peritendinous and Bone Abnormalities in Asymptomatic Population.AJR 1996;166:869-867.
10. Chaudhari P. MD. ROLE OF MRI IN EVALUATION OF SHOULDER PAIN.Radiol 2017 January. ISSN - 2250-1991 | IF : 5.215 | IC Value : 79.96.
11. Urwin M. Estimating the burden of musculoskeletal disorders in the community: the comparative prevalence of symptoms at different anatomical sites and the relation to social deprivation. Ann Rheum Dis 1998;57:649-55.
12. Jerosch J,Muller T,Castro WHM.The Incedince of Rotator cuff rupture:An Anatomic Study.Acto orthopaedica Belgca 1991;57-2:124-129
13. Depalma A . FJ.Surgery of the shoulder. Philadelphia, B. Lippincott 1983:211-231
14. Rafii M, Firooznia H, Sherman O, et al. Rotator cuff lesions: signal patterns at MR imaging. Radiology 1990;177:817-823
15. Iannotti JP, Roberts MC, Esterhai JC, Dalinka MK, Kressel HY, Lenkinski R. Rotator cuff disease: diagnostic performance of MR imaging: comparison with arthrography and correlation with surgery. Radiology 1989;172:223-229.
16. Iannotti JP, Zlatkin MB, Esterhai JL, Kressel HY, Dalinka MK, Spindler KP. Magnetic resonance imaging of the shoulder. J Bone Joint Surg Am 1991;73:17-29.
17. Ellman H. Diagnosis and treatment of incomplete rotator cuff tears. Clin Orthop 1990; 254:64-74.
18. Zlatkin MB, Iannotti JP, Roberts MC, Esterhai JC, , Kressel HY, Lenkinski R. Rotator cuff disease: diagnostic performance of MR imaging: comparison with arthrography and correlation with surgery. Radiology 1989;172:223-229
19. Bergman AG. Rotator cuff impingement: pathogenesis, MR imaging characteristics, and early dynamic MR results. Magn Reson Imaging Clin N Am 1997;5:705-819)
20. Farley TE, Neumann CH, Steinbach LS. Full-thickness tears of the rotator cuff of the shoulder: Diagnosis with MR imaging. AJR Am J Roentgenol 1992; 158:347-51.
21. Ram H, Kumar R. Diagnostic evaluation of magnetic resonance imaging in shoulder pathologies. Int J Med Sci Public Health 2018;7(9):691-696.
22. Link TM, Waldt S, Stawy WK. In: Rummeny EJ, Reimer P, Heindel W, editors. Obrazowanie Ciała Metodą Rezonansu Magnetycznego. Warszawa: Medmedia; 2010. p. 470-542.
23. Dr. Shailaja Prashanth, Dr. Naveen Kumar. Accuracy of MRI in diagnosing rotator cuff and labral tears of shoulder. Int J Orthop Sci 2020;6(2):01-04.
DOI: 10.22271/ortho.2020.v6.i2a.2008.
24. Runkel M, Kreitner KF, Wenda K, Rudig L, Degreif J, Grebe P (1993) MRI in shoulder dislocation. Unfallchirurg 96:124-128 22.
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Published
Jan 12, 2024
Article Details
How to Cite
Ketan Joshi, Atish Komwad, & Santosh kundgir. (2024). EVALUATING SHOULDER JOINT PATHOLOGIES USING MRI: A PROSPECTIVE STUDY IN A TERTIARY CARE SETTING. Journal of Population Therapeutics and Clinical Pharmacology, 31(1), 461–470. https://doi.org/10.53555/jptcp.v31i1.4028
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Author Biographies
Ketan Joshi
Assistant professor Department of radio diagnosis, Vilasrao Deshmukh Government Medical College, Latur, MS.
Atish Komwad
Associate professor, Vilasrao Deshmukh Government Medical College, Latur, MS.
Santosh kundgir
Senior resident, Swami Ramanand Teerth Rural Government Medical College, ambajogai, MS.