Diagnostic value of fine needle aspiration cytology in the evaluation of soft tissue tumours
Journal Title: IP Archives of Cytology and Histopathology Research - Year 2018, Vol 3, Issue 4
Abstract
Context Fineneedle aspiration cytology FNAC is an important tool in the diagnosis of soft tissue tumours The method is widely tested in recent years as it is easy quick safe and fast compared to histopathologyAims Present study is being conducted to study the cytomorphological patterns of soft tissue tumours and find out the efficacy of FNACwhen compared with histopathology aided with immunostainsSettings and Design Fifty six cases presented with soft tissue swellings were subjected to FNAC The results were compared with histopathology aided with immunohistochemistryMaterials and Methods Present study was a prospective study conducted between July 2007 and December 2008 for a period of one and a half year in the department of Pathology of a tertiary care institute Patients who presented with soft tissue tumours were included in the study Patients with inflammatory swellings and those in which histopathology was not available were excluded Fifty six cases presented with soft tissue swelling were subjected to fine needle aspiration FNA Findings were compared with histopathology Immunohistochemistry was used in some cases for exact diagnosisStatistical analysis used sensitivity specificity positive predictive value negative predictive value and diagnostic accuracyResults In the primary diagnosis of soft tissue tumours by FNAC the study showed sensitivity and specificity of 9375 and 944 for malignancy Overall diagnostic accuracy was 944 for both benign and malignant neoplasms Positive predictive value and negative predictive value was 8824 and 973 for malignancyConclusions FNA of soft tissue tumours yields specific architechtectural patterns and cytological details FNAC helps in the initial management of soft tissue tumours as it is rapid and fairly accurateKeywords Soft issue tumours Cytology Patterns Histopathology
Authors and Affiliations
Suman Singh, Jaishree Sharma, Kavita Mardi, Kamaljeet Singh Jaswal, Rakesh Panwar
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