
Küttner tumor/chronic sclerosing sialadenitis is a fibroinflammatory process that characteristically involves the submandibular gland of patients with IgG4-related disease. Histologic examination is often important to make the diagnosis because of its nonspecific clinical and radiologic findings. Microscopically, Küttner tumor should be distinguished from other entities such as extranodal marginal zone lymphoma, Sjögren's syndrome, and lymphoepithelial sialadenitis. The lesion is histologically well-demarcated with lobular architecture, extensive fibrosis, marked lymphoplasmacytic inflammation, formation of lymphoid follicles, acinar atrophy, and obliterative phlebitis, without the presence of lymphoepithelial lesions. The IgG4-to-IgG positive plasma cell ratio of >40 % is also an important feature to support the diagnosis of Küttner tumor. Moreover, flow cytometry is helpful to exclude a lymphoproliferative process. Clinicians and pathologists should consider the diagnosis of Küttner tumor in patients with elevated serum IgG4 level. Timely and accurate diagnosis is important for appropriate management.
Immunoglobulin G, Submandibular Gland Diseases, Humans, Female, Middle Aged, Sialadenitis
Immunoglobulin G, Submandibular Gland Diseases, Humans, Female, Middle Aged, Sialadenitis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
