Metastatic Cervical Lymphadenopathy – Diagnosis by FNAC, A Tertiary Hospital-based Study
Journal Title: Journal of Pharmaceutical and Biomedical Sciences - Year 2017, Vol 7, Issue 8
Abstract
Objectives Cervical lymphadenopathy is one of the commonest presentations in metastatic tumours. Fine needle aspiration cytology (FNAC) is a simple, cost effective, and rapid method for the diagnosis of metastatic cervical lymphadenopathy. FNAC gives not only the diagnosis but also the clue regarding the origin of primary tumour. The aim of this study is to study various metastatic tumours in cervical lymph nodes in known and occult primary tumours. Methods This study was carried out at Government Medical College and Hospital on 210 clinically diagnosed cases of cervical lymphadenopathy over a period of 2 years. FNAC was carried out in all these patients. Histopathological correlation was done in 40 cases. Patients included in the present study were in the age group of 11 months to 80 years. Results Tuberculous lymphadenopathy was the commonest (34%) followed by metastatic lymphadenopathy (24%) and reactive lymphadenitis (23%). The few cases were identified in the ‘leukemic lymphadenopathy’ category (1%). Metastatic malignancy was most commonly seen in the fourth to fifth decade (28%). Squamous cell carcinoma was the most common metastatic lesion (74%). Others are metastatic adenocarcinoma (12%), anaplastic carcinoma (6%), papillary carcinoma of thyroid (4%), and undifferentiated malignant tumours (4%). Conclusions The most common metastatic tumours to cervical lymph node are squamous cell carcinoma, adenocarcinoma, anaplastic carcinoma and papillary thyroid carcinoma. FNAC can aid in establishing the diagnosis in majority of cases. In certain situation, it can be enough for diagnosis in the proper clinical setting to avoid surgical procedures like biopsy. Diagnosis of metastatic cervical lymphadenopathy by FNAC is helpful in the initial management and also evaluating the response to therapy.
Authors and Affiliations
Amitkumar Bapuso Pandav*,, Kalpana Sulhyan, Pramila Patil
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