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Magnetic Resonance Imaging in Accuracy Diagnostic of Knee Joint Disorders

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Author Affiliations

  • 1Dept. of X-ray and Sonar, Faculty of Health and Medical Sciences, Bilad Al-rafidain University, Iraq and Dept. of X-ray and Sonar, Faculty of Republic of Iraq, Ministry of Health, Iraq
  • 2Dept. of X-ray and Sonar, Faculty of Health and Medical Sciences, Bilad Al-rafidain University, Iraq

Int. Res. J. Medical Sci., Volume 14, Issue (1), Pages 1-8, February,28 (2026)

Abstract

Knee joint problems are prevalent throughout many age groups and considerably affect mobility and standard of living. Magnetic Resonance Imaging (MRI) has become Invasive and very efficient method for diagnosing and assessing different knee diseases, this study aimed to assess the diagnostic capabilities efficacy of MRI on assessment of various knee joint disorders. This prospective study involved 60 patients (32 men, 28 females) on the age 20 to 80 years, who had knee problems those underwent the MRI test at Baghdad University Hospital from November 2024 to April 2025. MRI images were assessed for various knee diseases. Statistical analysis was performed utilizing SPSS v25, employing Chi-square and correlation tests to investigate correlations among variables. The largest age group was 20–40 years, comprising 40%. The male demographic represented a little greater percentage (53.3%). Twelve categories of knee abnormalities were discovered, with tears occurring most frequently at 18.3% and gout least frequently at 3.3%. A notable connection was identified between gender and defect type (r = 0.795, p = 0.028), and the Chi-square test indicated statistical significance (p = 0.025). Defect sites were diverse, with the joint representing the most often impacted region (36.6%). The relationship between gender and location was significant (r = 0.852, p = 0.019). The right knee was most frequently affected (43.3%), followed by the left knee (36.6%) and bilateral instances (20%), with a statistically significant correlation noted (p = 0.044). MRI is an essential diagnostic for the precise assessment of knee joint pathologies. The research reveals substantial correlations among gender, defect type, location, and afflicted side, highlighting the importance of MRI in clinical decision-making and precise treatment planning.

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