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Published on: September 5, 2017
Tuberculosis versus lymphomas in the abdominal lymph nodes: evaluation with contrast-enhanced CT
1Department of Radiology, First University Hospital, West China University of Medical Sciences, Chengdu, Sichuan.
AJR. American Journal of Roentgenology
|March 4, 1999
Summary
Computed tomography (CT) imaging criteria can help differentiate abdominal lymph node tuberculosis from lymphoma. Specific patterns of lymph node distribution and enhancement on CT scans are key indicators.
Area of Science:
- Radiology
- Oncology
- Infectious Diseases
Background:
- Abdominal lymphadenopathy presents a diagnostic challenge, often requiring differentiation between tuberculosis and lymphomas.
- Accurate distinction is crucial for appropriate patient management and treatment strategies.
Purpose of the Study:
- To evaluate specific computed tomography (CT) imaging criteria for differentiating abdominal lymph node tuberculosis from lymphomas.
- To identify characteristic CT findings associated with each condition.
Main Methods:
- Retrospective review of CT imaging in 69 patients with abdominal lymphadenopathy (26 tuberculosis, 43 lymphomas).
- Analysis of anatomic distribution and CT enhancement patterns of affected lymph nodes.
- Comparison of findings between tuberculosis (disseminated and nondisseminated) and lymphomas (Hodgkin's and non-Hodgkin's).
Main Results:
- Tuberculosis predominantly involved lesser omental, mesenteric, anterior pararenal, and upper paraaortic nodes.
- Lymphomas (Hodgkin's and non-Hodgkin's) and disseminated tuberculosis showed higher involvement of lower paraaortic nodes.
- Tuberculous lymphadenopathy typically exhibited peripheral enhancement with a multilocular appearance, while lymphomatous adenopathy showed homogeneous attenuation.
Conclusions:
- Contrast-enhanced CT findings, including lymph node distribution and enhancement patterns, can effectively differentiate abdominal lymph node tuberculosis from untreated lymphomas.
- These imaging criteria offer valuable insights for non-invasive diagnosis and patient management.
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