Spectrum of imaging findings in melioidosis

M Muttarak1, W C G Peh, J Euathrongchit

  • 1Department of Radiology, Chiang Mai University, Chiang Mai, Thailand.

Insights

Melioidosis, a bacterial infection, presents diverse clinical and imaging features across organ systems. Early recognition of its varied manifestations is crucial for timely diagnosis and treatment, especially in endemic regions.

Area of Science:

  • Medical Imaging
  • Infectious Diseases
  • Radiology

Background:

  • Melioidosis is an infectious disease with significant incidence in endemic areas like Thailand and Singapore.
  • It affects multiple organ systems, presenting a wide range of clinical and imaging characteristics.
  • Risk factors include comorbidities like diabetes, renal failure, alcoholism, malignancy, and immunosuppression.

Purpose of the Study:

  • To illustrate the diverse clinical and imaging findings of melioidosis across various organ systems.
  • To emphasize the importance of high clinical suspicion in diagnosing melioidosis, particularly in at-risk populations.

Main Methods:

  • Pictorial review of melioidosis cases from two centers in Thailand and Singapore.
  • Analysis of clinical and imaging data (radiography, CT, ultrasonography, MRI) from affected patients.
  • Correlation of imaging findings with organ system involvement.

Main Results:

  • The lungs are the most commonly affected organs, showing consolidation, nodules, and abscesses on imaging.
  • Multiple small abscesses in the liver and spleen are highly suggestive of visceral melioidosis.
  • Musculoskeletal involvement (bone and soft tissue) is typically seen in disseminated disease.

Conclusions:

  • Imaging findings of melioidosis are not specific but crucial for diagnosis when considered with clinical context.
  • High index of clinical suspicion is essential, especially in patients from or traveling to endemic areas with risk factors.
  • Multimodality imaging plays a key role in identifying and characterizing melioidosis across different organs.

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