18F-FDG PET–CT Diagnosis of Tuberculosis in Celiac Lymph Nodes
Autor: | Chen Min Ding, Hai Long Li, Zao Sheng Huang, Wen Jun Bao, Xi Bao Mao, Jing Fan, Nan Li |
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Rok vydání: | 2020 |
Předmět: |
Celiac lymph nodes
Abdominal pain medicine.medical_specialty Tuberculosis business.industry Tuberculin Standardized uptake value General Medicine 030204 cardiovascular system & hematology medicine.disease 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure 030220 oncology & carcinogenesis Pancreatic cancer Medicine Radiology Lymph medicine.symptom business Lymph Node Tuberculosis |
Zdroj: | International Journal of General Medicine. 13:1335-1339 |
ISSN: | 1178-7074 |
Popis: | The special location of abdominal tuberculosis makes it difficult for biopsy, while its clinical and imaging characteristics make it indistinguishable from tumors. Here, we report a female patient that was initially misdiagnosed with pancreatic cancer, but eventually correctly diagnosed with tuberculosis in the celiac lymph nodes using 18F-FDG PET-CT. She was 38 years old. Her main complaint was "deep abdominal pain and discomfort for nearly a month", accompanied by nausea and vomiting. Diagnosis of pancreatic tumors or enlarged lymph nodes was initially made based on CT scan results. Abdominal MRI revealed enlarged lymph nodes. 18F-FDG PET-CT imaging revealed a soft-tissue mass about 2.8 cm in diameter in the hepatic hilar area with a maximum standardized uptake value (SUVmax) of 9.4, and delayed imaging measured the SUVmax at 12. Enhanced CT showed no vascular envelopment in the mass. Based on these results, the patient was diagnosed with tuberculosis in the celiac lymph nodes. Her tuberculin test was strongly positive. After 5 months of antituberculosis treatment, the mass had reduced to about 1.5 cm in diameter and SUVmax reduced to 8.1, as demonstrated by 18F-FDG PET-CT imaging. Abdominal lymph-node tuberculosis is easy to misdiagnose, but timely 18F-FDG PET-CT imaging combined with tuberculin testing may reduce misdiagnosis and mistreatment. |
Databáze: | OpenAIRE |
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