Abstract

Abstract Background: The International Academy of Cytology (IAC). Yokohama System has created a standardized method of describing breast cytology by grouping them into five categories: inadequate, benign, atypical, suspicious, and malignant. To validate the likelihood of cancer in the various categories, several investigations have been undertaken at various institutions as a mandate. Aim: The main objective of the research is to identify the accuracy of fine-needle aspiration cytology (FNAC) for breast lumps by the Yokohama system for reporting and its correlation with histopathology. Methodology: The present study was a retrospective research performed over 8 months. Fine-needle aspiration cytology (FANCs) for breast lumps are performed by the Yokohama system. Whenever accessible, histopathological diagnoses were also retrieved. Statistical Analysis Used: Sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were estimated using a histological diagnosis as the gold standard concerning each of the five categories. Results: Out of 200 cases, 106 had histopathological concordance. Five categories: insufficient, benign, atypical, suspicious, and malignant of the IAC Yokohama system were 1.00%, 62.50%, 4.50%, 1.50%, and 30.50%, Category 1 (1%), Category 2 (62.5%), Category 3 (4.5%), Category 4 (1.5%), and Category 5 (30.5%). When malignant, suspicious, and unusual cases were taken into account as positive test findings, the highest level of sensitivity (90.60%) was attained. The maximum specificity (100%) was seen when only malignant patients were taken into account as positive test findings, but the highest diagnostic accuracy (96.22%) was shown when the malignant and suspect categories were taken into account as positive test results. Conclusion: FNAC using the Yokohama system for reporting is an accurate diagnostic tool for breast lumps. The system provides a standardized framework for reporting FNAC findings, and studies have reported high sensitivity and specificity rates for diagnosing breast lumps using FNAC. Therefore, FNAC can be used in conjunction with histomorphology to ensure accurate diagnosis and appropriate management of breast lumps.

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