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High-Resolution Three-Dimensional Whole-Organ Tomography of Microbial Infections
Published on: March 1, 2024
Computed tomography characteristics of Burkholderia pseudomallei liver abscess
Anucha Apisarnthanarak1, Piyaporn Apisarnthanarak, Linda M Mundy
1Division of Infectious Diseases, Faculty of Medicine, Thammasart University Hospital, Pathumthani, Thailand. anapisarn@yahoo.com
Abstract:
We report 3 cases of Burkholderia pseudomallei liver abscesses that have a characteristic "honeycomb" appearance on computed tomography scans. Such a finding should prompt physicians to include B. pseudomallei infection in the differential diagnoses of liver abscesses and consider initiation of empirical therapy for melioidosis in high-risk patients from areas of endemicity.
Insights
Three liver abscess cases showed a distinct "honeycomb" pattern on CT scans, indicating Burkholderia pseudomallei infection. This finding aids in diagnosing melioidosis, especially in endemic areas.
Area of Science:
- Infectious Diseases
- Radiology
- Microbiology
Background:
- Melioidosis is a serious bacterial infection caused by Burkholderia pseudomallei.
- Liver abscesses are a common manifestation of melioidosis, particularly in endemic regions.
- Early diagnosis and treatment are crucial for improving patient outcomes.
Observation:
- Three patients presented with liver abscesses.
- Computed tomography (CT) scans revealed a characteristic "honeycomb" appearance in these abscesses.
- This specific imaging finding was consistently observed across all reported cases.
Findings:
- The "honeycomb" appearance on CT scans is a significant indicator of Burkholderia pseudomallei liver abscesses.
- This radiological sign can aid clinicians in suspecting melioidosis.
- Microbiological confirmation remains essential for definitive diagnosis.
Implications:
- Physicians should consider Burkholderia pseudomallei in the differential diagnosis of liver abscesses with a "honeycomb" pattern.
- Empirical therapy for melioidosis should be considered in high-risk patients from endemic areas presenting with suggestive imaging.
- Recognition of this CT finding can expedite diagnosis and management of melioidosis, potentially reducing morbidity and mortality.
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