Multi-slice spiral CT findings of Castleman disease
10.3760/cma.j.issn.1005-1201.2013.01.015
- VernacularTitle:巨淋巴结增生症的多层螺旋CT表现
- Author:
Peiling LI
;
Miao CHANG
;
Ting LIU
;
Yuchen HAN
;
Qiang WANG
;
Li ZHAO
;
Ke XU
- Publication Type:Journal Article
- Keywords:
Giant lymph node hyperplasia;
Tomography,X-ray computed
- From:
Chinese Journal of Radiology
2013;(1):64-67
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the CT imaging features of Castleman disease and enhance our knowledge of Castleman disease.Methods Twenty two patients with lymph node biopsy-proved or surgeryproved Castleman disease were retrospectively reviewed in this study.Of the 22 patients,18 had localized lesion and 4 patients had multicentric lesions.Correlation was made between CT and pathologic findings.Results Eighteen patients with localized Castleman disease had the hyaline-vascular type and showed well-circumscribed masses with soft-tissue density [mean CT value,(45 ± 16) HU],punctate or bifurcate calcification and linear low-density areas on non-enhanced CT images.All localized masses showed significant enhancementwith an increase of(56 ± 22)HU on arterial phase and showed residual enhancement and some low-density areas on delayed phase.Enhancing patterns were variable,including homogeneous enhancement,gradual enhancement from the edge to the center of mass and heterogeneous enhancement.Four patients with localized lesion demonstrated enhancing vessels around masses.Four patients with muhicentric CD belonged to the plasma cell type and had multiple enlarged lymph nodes.Plasma cell type masses with homogeneous density also showed enhancement after injection of contrast media but appeared to reveal a less increase of (32 ± 10) HU than the hyaline vascular type.Conclusions The localized Castleman disease showed certain characteristics on CT imaging includingcalcification and contrast enhancing patterns,which could help in the differential diagnosis of this disease.The muhicentric Castleman disease did not reveal any useful imaging features.
