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Diagnosis and Surgical Treatment of Human Brucellar Spondylodiscitis
Published on: May 23, 2021
Diagnostic difficulties resulting from morphological image variation in spondylodiscitis MR imaging
Ewa Dziurzyńska-Białek1, Joanna Kruk-Bachonko, Wiesław Guz
1Department of Radiology in Provincial Hospital No. 2 in Rzeszów, Rzeszów, Poland.
Magnetic resonance imaging (MRI) reveals diverse morphological variations in spondylodiscitis, aiding diagnosis. This study highlights various pathologies associated with spinal infections, crucial for effective patient management.
Area of Science:
- Radiology
- Medical Imaging
Background:
- Spinal infection, including discitis and spondylodiscitis, presents diverse pathologies.
- Magnetic resonance (MR) imaging is the preferred method for visualizing spondylodiscitis.
- MR imaging offers detailed anatomical insights, particularly of the epidural space and spinal cord.
Purpose of the Study:
- To describe and evaluate the morphological variations of spondylodiscitis observed in magnetic resonance imaging.
- To enhance understanding of the spectrum of pathologies associated with spinal infections.
Main Methods:
- Retrospective analysis of patients diagnosed with spondylodiscitis between October 2009 and October 2011.
- All patients underwent MRI examinations before and after contrast enhancement.
- CT examinations were performed in three patients for additional assessment.
Main Results:
- MRI confirmed typical spondylodiscitis symptoms and revealed various morphological variations.
- Pathologies included spinal cord compression from epidural masses, abscesses (lung, pyothorax, paravertebral, intervertebral, iliopsoas), and epidural empyemas.
- Observed vertebral destruction with endplate changes, cortical discontinuity, pathological fractures, and liquefactive necrosis.
Conclusions:
- Spondylodiscitis exhibits significant morphological variations on radiological images.
- Progressive spinal destruction, reactive bone changes, and soft tissue infiltration are common.
- Accurate diagnosis relies on integrating radiological findings with clinical and laboratory data.
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