Morphological Spectrum Of Soft Tissue Tumors: A Four-Year Retrospective Study From A Tertiary Care Teaching Hospital
DOI:
https://doi.org/10.53555/ejac.v20i1.1175Keywords:
Benign, Lipoma, Sarcoma, Soft tissue tumour.Abstract
Background: Soft tissue tumors (STTs) represent a diverse group of neoplasms arising from mesenchymal tissues. Given their wide morphological spectrum, a combined cyto-histopathological approach plays a crucial role in accurate diagnosis. While Fine Needle Aspiration Cytology (FNAC) offers a minimally invasive, rapid, and cost-effective preliminary tool, histopathology remains the gold standard. The aim of the present study is Morphological Spectrum of Soft Tissue Tumors.
Methodology: This retrospective descriptive study was conducted over a four-year period in a tertiary care teaching hospital in Maharashtra. All histologically confirmed soft tissue tumor biopsies were included. Tumors were classified according to the WHO classification using hematoxylin and eosin (H&E)-stained sections. Data were analyzed using descriptive statistics, and the Chi-square test was applied for categorical variables (P < 0.05 considered significant).
Results: Among the 657 STTs analyzed, 93.60% were benign, while intermediate and malignant tumors each accounted for 3.20%. The male-to-female ratio was 1.2:1, with most cases occurring in the third and fifth decades of life. Adipocytic tumors were the most common subtype (70.41%), followed by peripheral nerve sheath tumors (15.45%). Intermediate-grade tumors were seen predominantly in middle-aged patients. Malignant tumors were most frequent in individuals over 61 years, with tumors of uncertain differentiation (33.33%) being the most common malignant subtype, followed by malignant peripheral nerve sheath tumors (14.29%).
Conclusion: Benign STTs, particularly adipocytic tumors, are the most prevalent. FNAC, combined with thorough histopathological evaluation and WHO-based classification, remains a valuable diagnostic approach. A multidisciplinary correlation enhances diagnostic precision and prognostic assessment.
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