Sirous Mehri, Shahnani Parisa Sotoodeh, Sirous Amirmasoud
Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Medical school, Isfahan University of Medical Sciences, Isfahan, Iran.
Adv Biomed Res. 2018 Mar 27;7:56. doi: 10.4103/abr.abr_161_17. eCollection 2018.
The first cause of women mortality due to cancer is breast cancer. Mammography plays a central part in early detection of breast cancers. The screening methods can play a major role to reduce the morbidity and mortality rate due to this malignancy. We sought the basic data in this study on our population because knowing about the baseline data is apt and vital.
In this study, data were collected from a questionnaire, contained baseline bio data information, and mammographic imaging of the patients came during 7 years. Breast imaging reporting and data system (BIRADS) score, breast composition, presence of axillary lymph nodes, microcalcifications, and other incidental positive findings were determined by a radiologist and analysis was performed by SPSS package.
The most common indication for mammography was annual screening. The mean age of participants to the study was 55 ± 7.9 years. The majority (80%) of the patients with known breast cancer (BIRADS 6) had the extremely dense breast. The most common incidental findings in mammogram studies were focal asymmetry, architectural distortion, intramammary lymph node and accessory breasts, respectively.
The frequency distribution of BIRADS classification in our society was clarified. It seems that the breast cancer risk is higher in women with dense breasts. Architectural distortion was also correlated to BIRADS score.
乳腺癌是女性癌症死亡的首要原因。乳腺钼靶摄影在乳腺癌的早期检测中起着核心作用。筛查方法对于降低这种恶性肿瘤的发病率和死亡率可发挥重要作用。在本研究中，我们寻求关于我们人群的基础数据，因为了解基线数据是恰当且至关重要的。
在本研究中，数据收集自一份问卷，该问卷包含基线生物数据信息，以及患者在7年期间的乳腺钼靶影像。由一名放射科医生确定乳腺影像报告和数据系统（BIRADS）评分、乳腺组成、腋窝淋巴结的存在情况、微钙化以及其他偶然的阳性发现，并使用SPSS软件包进行分析。
乳腺钼靶摄影最常见的指征是年度筛查。参与本研究的患者的平均年龄为55±7.9岁。大多数（80%）已知患有乳腺癌（BIRADS 6类）的患者乳房极度致密。乳腺钼靶检查中最常见的偶然发现分别是局灶性不对称、结构扭曲、乳腺内淋巴结和副乳。
明确了我们社会中BIRADS分类的频率分布。似乎乳房致密的女性患乳腺癌的风险更高。结构扭曲也与BIRADS评分相关。
