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Research Article | Volume 13 Issue:3 (, 2023) | Pages 24 - 30
Radiological study to correlate Ultrasound Categorized Breast lesions with FNAC findings in Diagnosing benign & Malignant Breast Lesions at a Tertiary hospital
Under a Creative Commons license
Open Access
DOI : 10.5083/ejcm
Published
July 4, 2023
Abstract

Background: Breast cancer is the most common cancer in women worldwide and second most common after cervical cancer in India. Sonographic demonstration of suspicious findings appropriately leads to further evaluation with core needle biopsy, even when mammographic findings are negative. Present study was aimed to correlate ultrasound categorised breast lesions with FNAC findings in diagnosing benign & malignant breast lesions at a tertiary hospital. Material and Methods: Present study was single-center, prospective, observational study, conducted female patients of age > 18 years had suspicious lesions on mammography. All patients underwent BIRAD score interpretation by USG & FNAC procedure. Results: In present study, 233 women were included. Majority were from 31-60 years age group, with mean age of 47.22 ± 11.43 years. Common radiological characteristics were microlobulated (35.6 %) & Circumscribed (29.6 %) margins of lesion, hypoechoic (60.9 %) & hyperechoic (17.6 %) echogenicity of lesion. Posterior features of lesion were Post acoustic Enhancement (27.9 %) & Shadowing (51.5 %). In present study common BIRAD grade were high suspicion of malignancy (IVc) (23.60 %) followed by benign (II) (19.74 %), highly suggestive of malignancy (V) (18.88 %), moderate suspicion of malignancy (IVb) (13.73 %), probably benign (III) (13.30 %), low suspicion of malignancy (IVa) (7.73 %) & negative (I) (3 %). USG-FNAC correlation was concordant in 222 patients (95.3 %). Sensitivity and Specificity of BIRAD ≥ IVb was highest (90.9 % & 89.1 % respectively) followed by BIRAD ≥ IVa (88.6 % & 75.3 % respectively) & BIRAD ≥ IVc (71.2 % & 95.1 % respectively). Conclusion: Combined ultrasonography (gray scale & colour Doppler) and FNAC offers the best approach in diagnosing a breast pathologies / lesion.

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