Introduction: Accuracy of the FNAC results depends upon the amount and adequacy of the aspirated material from the lesion with proper staining and interpretation. Guided aspirate yields better diagnostic material from deep-seated and inaccessible lesion in comparison to routine FNA procedure. Aim: To present an experience of 30 cases of USG-guided FNAC in the pediatric population. Material and Methods: The study is a retrospective data analysis and included 30 pediatric cases of 0-18 years who were advised image-guided FNAC for various clinical diagnosis. Corresponding slides of the cases were examined from the archives of the Department of Pathology SSPHPGTI, Noida, U.P. and Era’s Lucknow Medical University, Lucknow, U.P. India. The variables were tabulated under the headings of demographic data, site of lesion and as per diagnosis as non-neoplastic or neoplastic. Nonneoplastic lesions were further classified into infective, inflammatory/ autoimmune, while neoplastic lesion as benign and malignant tumor. Data was analyzed as per statistical parameter and results were compiled and analyzed. Result: Out of 30 cases, 16 were females and 14 males with majority of males in the age group of 0 to 10 years and majority of the females in the age group of 11 to 18 years. The most common site to undergo FNAC in our study was abdominal swellings [mesenteric lymph nodes (10) followed by kidney mass (2) and ovarian mass (2)]. Only 3 cases were categorized as malignant lesions, the rest were benign. Infective lesion was the most common category with maximum cases reported as Koch’s abdomen (7). Three cases were noncontributory with no adequate yield. Conclusion: The study is an attempt to highlight our experience of USGguided FNAC diagnosis in pediatric population. How to cite this article: Nath D, Tiwari N, Madan J, Singh S, Gupta P, Lal N et al. USG-Guided FNAC of Pediatric Lesions: An Experience and Retrospective Analysis of Two Teaching Hospitals. Rec Adv Path Lab Med 2019; 5(4): 23-27. DOI: https://doi.org/10.24321/2454.8642.201923
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Jyotsna Madan (2020) studied this question.
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