Mittal Megha, Deolia Shravani, Agrawal Amit, Chaturvedi Himanshu, Agrawal Gaurav, Chhabra Kumar G
Department of Radiodiagnosis, GR Medical College, Gwalior, Madhya Pradesh, India.
Research Associate, Vidya Cancer Hospital, Gwalior, Madhya Pradesh, India.
J Family Med Prim Care. 2021 Sep;10(9):3219-3222. doi: 10.4103/jfmpc.jfmpc_2494_20. Epub 2021 Sep 30.
For recognizing the initial stages of breast cancer, mammography is regarded as one of the best modalities and plays a crucial part to lessen morbidity and mortality. For collaborative studies and planning of preventive strategies, it is significant to have baseline data. Thus, in this survey, the frequency distribution of breast imaging reporting and data system (BIRADS) classification and breast consistencies was investigated during the mammographic screening program in the Gwalior region, India.
A descriptive, cross-sectional survey was conducted in the Gwalior region, India, in which 1,838 patients were screened with the aid of mammography. The mammography films were evaluated by a single radiologist who determined the BIRADS score, breast composition, and any other abnormal findings. After tabulating the data into MS Excel (MS Office version 2007 developed by Microsoft, Redmond, WA), descriptive analysis and Chi-square test were performed to determine the association between the BIRADS score and breast consistency and setting significance level at (below) 0.05.
The most commonly found BIRADS score was score 1 (53.4%), followed by score 2 (20.4%), and score 5 was of the least frequency (1.3%). Similarly, the most common consistency found was fatty (48.2%) and the least common was heterogeneously dense (3.97%). The most BIRADS category of 0 was seen in heterogeneously dense ( = 22; 26%) followed by dense breast compositions ( = 18; 25%). The most common consistency found with known breast malignancy (BIRADS 6) patients was the extremely dense breast ( = 11; 40.7%).
In this study, it was observed that about 57.3% of all the cases were categorized as BIRADS 1 and 20.8% as BIRADS 2.
对于识别乳腺癌的初始阶段，乳房X线摄影被视为最佳检查方式之一，在降低发病率和死亡率方面发挥着关键作用。对于合作研究和预防策略的规划而言，获取基线数据非常重要。因此，在本次调查中，我们对印度瓜廖尔地区乳房X线筛查项目期间的乳腺影像报告和数据系统（BIRADS）分类及乳腺密度的频率分布进行了调查。
在印度瓜廖尔地区进行了一项描述性横断面调查，借助乳房X线摄影对1838例患者进行了筛查。乳房X线摄影胶片由一名放射科医生进行评估，该医生确定BIRADS评分、乳腺组成以及任何其他异常发现。将数据录入MS Excel（微软公司于华盛顿州雷德蒙德开发的MS Office 2007版本）后，进行描述性分析和卡方检验，以确定BIRADS评分与乳腺密度之间的关联，并将显著性水平设定为（低于）0.05。
最常见的BIRADS评分为1分（53.4%），其次是2分（20.4%），5分的频率最低（1.3%）。同样，最常见的乳腺密度为脂肪型（48.2%），最不常见的是不均匀致密型（3.97%）。BIRADS分类为0的情况在不均匀致密型中最为常见（=22；26%），其次是致密乳腺组成（=18；25%）。已知患有乳腺恶性肿瘤（BIRADS 6）的患者中最常见的乳腺密度是极度致密型（=11；40.7%）。
在本研究中，观察到所有病例中约57.3%被归类为BIRADS 1类，20.8%被归类为BIRADS 2类。
