Nwadike Uchechukwu I, Eze Charles U, Agwuna Kelvin, Mouka Chibuzo
Department of Medical Radiography and Radiological Sciences, Faculty of Health Sciences and Technology, College of Medicine, University of Nigeria Enugu Campus, Nigeria.
Department of Radiation Medicine, Faculty of Medical Sciences, University of Nigeria Enugu Campus, Nigeria.
Afr Health Sci. 2017 Dec;17(4):1044-1050. doi: 10.4314/ahs.v17i4.12.
The study was to classify lesions identified on mammograms using Breast Imaging Reporting and Data System (BIRADS) grading method. This was in view of ascertaining the rate of occurrence of breast malignancy of the studied population.
A retrospective cohort study of 416 mammographic reports of women was undertaken. The reports were written by consultant radiologists of 10 years' experience and above. The reports were evaluated and characterised using Breast Imaging Reporting and Data system (BIRADS). Demographic data of patients were sourced from the request cards. The data was entered into a proforma and analysed using SPSS version 17. All request cards with incomplete data were excluded from the study.
Using the BI-RADS Classification, the mammographic reports shows that 29.57% of the lesions were benign, and 4.57% were suspicious and biopsy recommended, while 3.60% were highly suggestive of malignancy. The right breast was predominantly affected with 42.7% of the patients (P<0.05).
Classification of breast lesion using BI-RADS grading system is a veritable tool in the diagnosis of the breast lesion. The present study shows that 3.6% of the population has a high index of malignancy.
本研究旨在使用乳腺影像报告和数据系统（BIRADS）分级方法对乳腺钼靶检查中发现的病变进行分类。这是为了确定所研究人群中乳腺恶性肿瘤的发生率。
对416份女性乳腺钼靶检查报告进行回顾性队列研究。这些报告由具有10年及以上经验的放射科顾问医生撰写。使用乳腺影像报告和数据系统（BIRADS）对报告进行评估和特征描述。患者的人口统计学数据来自申请卡。数据录入表格并使用SPSS 17版进行分析。所有数据不完整的申请卡均被排除在研究之外。
使用BI-RADS分类，乳腺钼靶检查报告显示，29.57%的病变为良性，4.57%为可疑病变并建议活检，而3.60%高度提示为恶性。右乳受影响为主，占患者的42.7%（P<0.05）。
使用BI-RADS分级系统对乳腺病变进行分类是诊断乳腺病变的一项重要工具。本研究表明，3.6%的人群具有较高的恶性指数。
