Clinical and diagnosis analysis of malignant lymphoma in nasal cavity and paranasal sinus.
- Author:
Liping ZHU
;
Ping FANG
;
Yehai LIU
;
Busheng TONG
- Publication Type:Journal Article
- MeSH:
Diagnostic Errors;
Epistaxis;
Humans;
Lymphoma;
diagnosis;
Lymphoma, B-Cell;
Lymphoma, Non-Hodgkin;
Male;
Middle Aged;
Nasal Cavity;
pathology;
Necrosis;
Paranasal Sinus Neoplasms;
diagnosis;
Paranasal Sinuses;
pathology;
Retrospective Studies;
Tomography, X-Ray Computed
- From:
Journal of Clinical Otorhinolaryngology Head and Neck Surgery
2015;29(3):255-257
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To investigate the clinical features, imaging characteristics, pathological types, the misdiagnosis causes and the early diagnosis method of malignant lymphoma in nasal cavity and paranasal sinuses.
METHOD:Clinicopathological data of 34 patients with malignant lymphoma in nasal cavity and paranasal sinuses were retrospectively analyzed.
RESULT:Most of patients were middle aged man, the incidence of malignant lymphoma of nasal cavity and paranasal sinuses accounted for 21.7% of nasal malignant tumor over the same period, nasal malignant lymphoma incidence rate was higher than the sinus malignant lymphoma (76.5% VS. 17.6%). The main symptoms were presented as snuffle, epistaxis, purulent nasal discharge, fever and so on. Nasal neoplasm, nasal mucosa hyperemia, erosion, necrosis are the main signs of the disease. CT features were summarized as the lesions located in the anterior-middle area in nasal cavity, homogeneous in density, soft tissue swelling in some cases and less bone destruction. The majority pathological type of nasal malignant lymphoma was NK/T cell lymphoma, but the common pathological type of paranasal sinus malignant lymphoma was B-cell lymphoma. The misdiagnosis rate of malignant lymphoma in nasal cavity and paranasal sinus was 21.2%.
CONCLUSION:Malignant lymphoma in nasal cavity and paranasal sinuses without specific clinical characteristics, but has some certain CT characteristics. Combined with the clinical, imaging and pathological features, can improve the cognition and diagnosis of the disease.
