DIAGNOSIS OF FIBROCYSTIC DISEASE OF BREAST ON ULTRASOUND.
Journal Title: International Journal of Advanced Research (IJAR) - Year 2019, Vol 7, Issue 2
Abstract
Clinical examination prior to breast ultrasound include palpation of the breasts, axillae, and supra andinfraclavicular lymph nodes. This part of the examination may revealed isolated nodules in either of four quadrant of both breasts. According BI- RADs, Breast Imaging Reporting and Data System into 5 categories.Improvement in ultrasound scanning of breast for diagnosis of begin and malignant lesion by use of B-mode and Doppler ultrasound. Methodology: Ultrasound examination was performed using XARIO, ultrasound machines,equipped with a variable-frequency linear transducer 9 to 11 HERTZ atappropriate magnification. For detection of lesions in the lateral aspectof the breast, the patient was imaged in the supine-obliqueposition, and for other lesions, the patient was supine.Images were acquired in both radial and transverse planesand measurements were made using calipers. B-mode images were obtained in some cases to better detection of the lesion. Doppler ultrasound, was done to assess and vascularity of lesion. Ultrasound was performed byexperienced sonologist. All findings were categorized according to BI-RADS. Results: ultrasounds of females with complaints of lump were included in study from November 2017 to November 2018 at Medicare hospital, Jinnah Medical and Dental College.Images by B-mode for imagining simple cysts, appeared anechoic with posterior enhancement and smooth borders (n=25). Mostly rounded or oval in shape.Fibroadenoma appeared hypoechoic, elliptical, lying parallel to the breast planes with lateral shadowing(n=25). Mostly found in inner quadrant of both breasts. No complex cyst or malignant lesion seen. Doppler ultrasound was performed to exclude any vascularity of the lesion. Conclusion: Ultrasound was found to be most convenient tool for assessment of breast lesions of various categories and to rule out malignancy.
Authors and Affiliations
Samia Perwaiz Khan, Arwa Iqbal Hussain.
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International Journal of Advanced Research (IJAR)