Sonomammograhy versus MRI diffusion in evaluation of suspicious breast lesions | ||||
| Journal of Recent Advances in Medicine | ||||
| Article 1, Volume 4, Issue 1, January 2023, Page 1-8 PDF (915.74 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jram.2022.127788.1160 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Nashwa M. Mohamed  1; Magda S. Yakout2; Abdullah H. Ahmed2
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| 1Radiology Department, Met Ghamr oncology center, Met Ghamr, Dakahlia, Egypt. | ||||
| 2Radiology Department, Faculty of Medicine for Girls, Cairo, Al-Azhar University, Egypt. | ||||
| Abstract | ||||
| Background: Breast cancer is the most frequent cancer in women and the second leading cause of death among them. Breast lesions were first categorized as benign or cancerous. Objective: was to highlight the role of noninvasive diagnostic breast modalities including mammography, ultrasound, conventional MRI and MRI diffusion imaging in detection and characterization of suspicious breast lesions. Methodology: It was a hospital based cross sectional study done on total number of 50 female patients presented by breast lump or nipple discharge, some of them were referred from surgical department and others from out-patient clinic to the radiology department at Met Ghamr oncology center, after receiving clearance from the institute's ethical council, the study was carried out for two years, from June 2019 to August 2021. Before being included in the trial, all patients provided informed permission. They were subjected for imaging by digital mammography, ultrasonography and MRI mammography. Results: The study revealed that in the evaluation and description of worrisome breast lesions, MRI mammography plays a leading role over digital mammography and ultrasonography. Conclusion: MRI mammography outperformed digital mammography and ultrasonography regarding of sensitivity, specificity, and diagnostic performance. | ||||
| Keywords | ||||
| Digital mammography (DM); Ultrasonography; MRI mammography; speculated mass; restricted diffusion | ||||
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