MRI and clinical features of acute fungal discitis/osteomyelitis

F Joseph Simeone1, Jad S Husseini1, Kaitlyn J Yeh1

  • 1Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street - YAW 6046 -, Boston, MA, 02114, USA.

European Radiology
|January 5, 2020
PubMed
Abstract

Insights

Imaging and clinical factors can help identify fungal discitis-osteomyelitis (DO). Focal abnormalities on MRI and longer back pain duration suggest fungal infection over Staphylococcus aureus DO.

Area of Science:

  • Infectious Diseases
  • Radiology
  • Orthopedic Surgery

Background:

  • Discitis-osteomyelitis (DO) is a serious spinal infection.
  • Distinguishing between fungal and bacterial etiologies, particularly Staphylococcus aureus, is crucial for effective treatment.
  • CT-guided biopsies are often used for diagnosis.

Purpose of the Study:

  • To compare the imaging and clinical characteristics of fungal DO versus Staphylococcus aureus DO.
  • To identify predictors that differentiate fungal from bacterial DO in patients undergoing CT-guided biopsy.

Main Methods:

  • Retrospective analysis of 11 patients with fungal DO and 19 with Staphylococcus aureus DO.
  • Evaluation of MRI findings including soft tissue abnormality and disc/endplate involvement.
  • Assessment of clinical factors such as pain duration, immune status, and history of drug use or instrumentation.

Main Results:

  • Fungal DO cases more frequently showed focal paravertebral soft tissue abnormality and partial disc/endplate involvement on MRI.
  • Clinical predictors for fungal DO included back pain >10 weeks, antibiotic use >1 week, and IV drug use.
  • History of invasive instrumentation within a year was more indicative of Staphylococcus aureus DO.

Conclusions:

  • MRI features like focal partial soft tissue abnormality and partial disc/endplate involvement are suggestive of fungal DO.
  • Combining specific MRI findings with clinical data can aid in predicting fungal species as the causative organism for DO.

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