Characterization of knee joint injuries in traumatic patients using magnetic resonance imaging

Authors

  • Warda Kiran Student, Institute of Radiological and Medical Imaging Sciences, The University of Lahore, Gujrat Campus
  • Akash John Lecturer, Institute of Radiological and Medical Imaging Sciences, The University of Lahore, Gujrat Campus
  • Abid Ali Associate Professor Department of AHS, The University of Lahore, Gujrat Campus
  • Muhammad Ahmad Naeem Lecturer, Institute of Radiological and Medical Imaging Sciences, The University of Lahore, Gujrat Campus
  • Sehrish Iqbal Student, Institute of Radiological and Medical Imaging Sciences, The University of Lahore, Gujrat Campus
  • Maryam Mubbarka Student, Institute of Radiological and Medical Imaging Sciences, The University of Lahore, Gujrat Campus

DOI:

https://doi.org/10.52442/jrmi.v8i2.420

Keywords:

Knee Joint, Magnetic Resonance Imaging, Wounds and Injuries, Ligaments, Articular, Accidental Falls, Accidents, Traffic

Abstract

Introduction: The knee is a complex joint with numerous components and is susceptible to a wide range of injuries such as sprains, ligament rips, fractures, and dislocations.

Objective: To characterize the knee joint injuries in traumatic patients using magnetic resonance imaging (MRI).

Materials & Methods: A descriptive study based on retrospective data was conducted within the Radiology Department of Private Hospital Lahore, Pakistan, from September 01, 2021, to January 30, 2022, on 85 patients with knee joint injuries resulting from road traffic accidents and falls from heights. The data were analyzed for descriptive statistics using SPSS version 20.

Results: The highest frequency of trauma was in male patients of age group 21 to 30 years. The common knee injuries were Joint Effusion 32(26.2%), Anterior Cruciate Ligament Tear 26(21.3%), and Posterior Horn of Medial & Lateral Meniscal Tear 16(13.1%). The most common cause for trauma was road traffic accidents.

Conclusion: Magnetic Resonance Imaging was able to provide high quality images to diagnose knee joint status in patients suffering from traumatic injuries.

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Published

2022-07-12