Indian Journal of Medical Sciences · 2012 · 61 citations · 10 references
MedicineOncologyPathologyCytopathologyHistopathologyNeck OncologyFine-needle Aspiration CytologyHead PathologyLymph Node CytologyNeck PathologySalivary Gland CytologyThyroid CytologyInflammatory Neck LesionsLymph Node Fine-needle Aspiration CytologyMalignant DiagnosisSalivary Gland Fine-needle Aspiration CytologySoft Tissue Fine-needle Aspiration CytologySwellingThyroid Fine-needle Aspiration CytologyThyroid Nodule Cytology
UNLABELLED: Head and neck mass lesions are frequently found in clinical practice. A spectrum of pathological lesions ranging from simple benign lesion to highly malignant manifestation is observed. OBJECTIVES: To make clinicopathological correlation of head and neck lesions and to assess the frequency of incidences of different sites, age groups, sex, and distribution among inflammation and neoplastic lesion. MATERIALS AND METHODS: A retrospective study was conducted from January 2011 to April 2012. Fine-needle aspiration diagnosis was correlated with details of relevant clinical findings and investigations. Patients aged between 1 and 70 years were included in the study. A total of 200 patients with the swellings of head and neck underwent fine-needle aspiration cytology (FNAC). RESULTS: Out of 200 fine-needle aspiration procedures, 52% were of thyroid, 28.50% were of lymph node, 11% from salivary gland, and 4% from soft tissue and miscellaneous swellings. There were 4.5% cases in which diagnosis was not possible. In inflammatory swelling (33%), tuberculous lymph node (42.12%) involvement is common than all other sites with male preponderance (55%). CONCLUSION: FNAC is a simple, quick, inexpensive, and minimally invasive technique to diagnose different types of head and neck swellings. It could differentiate the infective process from neoplastic one and avoids unnecessary surgeries. Thus, FNAC can be recommended as a first line of investigation in the diagnosis of head and neck swellings.
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Fine needle aspiration biopsy diagnosis of mucoepidermoid carcinoma. Statistical analysis.
Michael B. Cohen, Paul E. Fisher, Elizabeth A. Holly et al. · PubMed · 1990 · 72 citations