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Metabolic Characteristics of Castleman Disease on F-18-FDG PET in Relation to Clinical Implication

Cited 46 time in Web of Science Cited 51 time in Scopus
Authors

Lee, Eun Seong; Paeng, Jin Chul; Park, Chang Min; Chang, Won; Lee, Won Woo; Kang, Keon Wook; Chung, June-Key; Lee, Dong Soo

Issue Date
2013-05
Publisher
Lippincott Williams & Wilkins Ltd.
Citation
Clinical Nuclear Medicine, Vol.38 No.5, pp.339-342
Abstract
Purpose: Castleman disease (CD) is a benign lymphoproliferative disease, which usually shows hypermetabolism on F-18-FDG PET/CT. In this study, we investigated metabolic characteristics of CD in consecutive series of patients and analyzed F-18-FDG uptake with regard to major clinicopathologic factors, to investigate clinical implication of F-18-FDG uptake in CD. Methods: Twelve patients (5 men and 7 women; mean age, 52 T 14 years) with pathologically confirmed CD, who underwent F-18-FDG PET/CT, were retrospectively enrolled, and their images were analyzed. The cases were composed of 10 first diagnosed and 2 relapsed cases. SUVmax was measured for each lesion. Metabolic characteristics were compared according to clinical and pathologic characteristics. Results: All the F-18-FDG PET/CT images showed hypermetabolic lesions including small lymph nodes of less than 1 cm. The average SUVmax was 5.8 T 4.1 with a varying range of 2.4 to 17.1. SUVmax was significantly higher in multicentric than in unicentric disease cases (7.0 +/- 4.6 vs 3.3 +/- 1.1; P = 0.048) and in the patients with clinical manifestation than the other group (7.1 +/- 4.5 and 3.1 +/- 0.8, respectively; P = 0.028). Conclusions: F-18-FDG PET/CT is an effective diagnostic imaging for diagnosis of CD. Castleman disease shows moderately increased F-18-FDG uptake. In addition, the uptake is well correlated with disease multicentricity and clinical manifestation, suggesting that it would be a significant imaging marker for severity or prognosis of CD.
ISSN
0363-9762
URI
https://hdl.handle.net/10371/207653
DOI
https://doi.org/10.1097/RLU.0b013e3182816730
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  • College of Medicine
  • Department of Medicine
Research Area Radiology

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