Online ISSN: 2515-8260

FINE-NEEDLE CLARITY: CT-GUIDED FNAC IN LUNG CANCER DIAGNOSIS

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Dr. Mousumi Kar, Dr Arnab Sarkar, Dr Bilas KR Sarkar
ยป doi: 10.53555/ejmcm/2024.11.05.03

Abstract

Background: Lung cancer remains a significant global health concern, necessitating advanced diagnostic tools for precise and timely interventions. This study explores the diagnostic efficacy and safety profile of Computed Tomography (CT)-guided Fine Needle Aspiration Cytology (FNAC) in suspected lung lesions, aiming to contribute valuable insights to the evolving landscape of lung cancer diagnosis. Materials and Methods: We conducted a retrospective analysis of 45 patients who underwent CT-guided lung FNAC for suspected lung lesions. Demographic data, lesion characteristics, and diagnostic performance metrics were systematically collected. Comparative analyses with alternative diagnostic modalities, cytological examination findings, and post-procedure complications were meticulously assessed. Results: The study cohort exhibited a diverse demographic profile with a mean age of 58 years and a balanced gender distribution. CT-guided lung FNAC demonstrated a commendable diagnostic yield of 80%, with a sensitivity of 85%, specificity of 90%, and positive and negative predictive values of 78% and 92%, respectively. Comparative analyses revealed significantly higher sensitivity compared to bronchoscopy and transthoracic needle biopsy. Cytological examination identified various histological subtypes, with adenocarcinoma being the predominant finding. Minor complications occurred in 9% of cases, with no statistically significant differences compared to alternative diagnostic methods. Conclusion: Our findings underscore CT-guided lung FNAC's diagnostic efficacy and safety in identifying lung cancer. The high diagnostic yield, sensitivity, and reliability, coupled with a favorable safety profile, position CT-guided lung FNAC as a crucial diagnostic tool for pathologists in evaluating suspected lung lesions. These results contribute to the growing body of evidence supporting the clinical utility of CT-guided FNAC in lung cancer diagnosis.

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