CT diagnosis of abdominal lymph nodes in 52 patients with lymphoma

Release date: 2007-05-31

A study was conducted to evaluate the CT findings of abdominal lymph nodes in 52 patients with lymphoma, aiming to better understand the diagnostic value of CT imaging in identifying lymphadenopathy related to lymphoma. The research involved a retrospective analysis of CT scans from patients who had undergone either surgery or biopsy for confirmation of lymph node involvement. Among the participants, 16 had Hodgkin's disease (HD), and 36 had non-Hodgkin's lymphoma (NHL). The CT findings were categorized based on the distribution of lymph node lesions. Ten patients showed a solitary mass type, with three cases featuring a single, round, and uniformly dense lymph node, while seven had multiple enlarged lymph nodes that had fused into separate masses. In 34 patients, the lymph nodes appeared as multiple lobular masses, characterized by round, swollen nodes with clear margins and uniform density. Six patients exhibited vascular invasion signs, such as involvement of the mesenteric, renal, abdominal aorta, or inferior vena cava. Two patients showed signs of duodenal infiltration. Eight patients had a diffuse pattern, with a characteristic cobblestone appearance on CT scans. Additionally, the CT findings varied between HD and NHL. HD cases showed different patterns in terms of lymph node distribution, size, number, and fusion areas compared to NHL. Out of the 52 patients, 28 had extranodal lymphoma, particularly involving the gastrointestinal tract, which presented distinct CT features. Follow-up imaging revealed that 15 patients had varying enhancement patterns—uniform, heterogeneous, or marginal. Twelve patients showed occasional calcifications along with reduced lesion size and number, while three patients had complete resolution of their lesions after treatment. Overall, this study highlights that CT imaging provides distinctive features that aid in the qualitative diagnosis of lymphadenopathy in lymphoma patients. These findings support accurate pathological classification and help in monitoring treatment response during follow-up. —— Information from: Meditech Medical Devices Network

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