Publication: Sonography as an Adjunct to Digital Mammography in Patients with Dense Breasts
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Nepal Health Research Council
Abstract
Background: Dense breasts are associated with an increased risk of cancer and also mask lesions on mammograms. In our study, we evaluated the role of sonography as an adjunct to digital mammography in patients with dense breasts.
Methods: Sonography of 676 female patients with American College of Radiology category C or D mammographic density was done in this prospective cross-sectional analytical study in the Department of Radiology, Tribhuvan University Teaching Hospital. The final imaging diagnosis was classified as per the American College of Radiology Breast Imaging Reporting and Data System categories. Tissue diagnosis was obtained in patients with sonographic category 3 solid lesions larger than 3 cm, category 4 and 5 lesions. The data were tabulated and analyzed using Statistical Package for Social Service (SPSS) for Windows version 22.
Results: Additional sonography confirmed all BIRADS 1 mammograms as normal or benign, 95.7 % (112) of inconclusive, and 82.8% (n=135) of BIRADS 3 ones as benign. It had higher sensitivity and negative predictive value (100%) than mammography with similar accuracy. Most patients (479, 70.9%) had diagnostic indications. There were 540 (79.9%) cases in ACR BIRADS category c. A final diagnosis of benign (316, 46.7%) was most common, followed by normal (293, 43.4%) and malignant (67, 9.9%). The majority of the malignant lesions were Invasive Ductal Carcinoma (59, 88%).
Conclusions: Additional sonography confirmed mammography findings as normal, benign, or suspicious for malignancy, definitely described morphology and extent of mass, and also guided biopsy. It had higher sensitivity than mammography in dense breasts.
Keywords: Breast density; mammography; ultrasonography mammary.
Description
Anamika Jha
Maharajgunj Medical Campus, Tribhuvan University Teaching Hospital
https://orcid.org/0000-0001-6423-7320
Pradeep Raj Regmi
Department of Radiology, Tribhuvan University Teaching Hospital
https://orcid.org/0000-0001-9571-9736
Huney Pradhan
Department of Radiology, Tribhuvan University Teaching Hospital
Minaxi Thakur
Department of Gynecology and Obstetrics, KIST Medical College and Hospital, Imadol, Lalitpur
Birendra Raj Joshi
Department of Radiology, Patan Academy of Health Sciences, Patan, Lalitpur