Badu-Peprah Augustina, Otoo Obed Kojo, Amamoo Mansa, Quarshie Frank, Adomako Benjamin
Radiology Directorate, Komfo Anokye Teaching Hospital, Kumasi, Ghana; Radiology Department, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Radiology Directorate, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Transl Oncol. 2024 Jul;45:101976. doi: 10.1016/j.tranon.2024.101976. Epub 2024 May 1.
Breast cancer is the most common female cancer globally. The method of choice for screening and diagnosing breast cancer is mammography, which is not widely available in Ghana as compared to ultrasonography. This study aimed to evaluate the sonographic features of solid breast lesions using the new sonographic Breast Imaging- Reporting and Data System (BI-RADS-US) lexicon for malignancy with histopathology as the gold standard.
This was a prospective quantitative study that sonographically scanned female patients with breast masses and consecutively selected cases recommended for core biopsy from May 2018 to May 2021. Sixty (60) solid breast masses were described using the sonographic BI-RADS lexicon features. Lesion description and biopsy results from histopathology were compared and analyzed using Pearson's Chi-square test. Odds ratios, sensitivity, specificity, and predictive values were also calculated. Statistical significance level was set at p ≤ 0.05.
Irregular shape (p < 0.0001), spiculated mass margins (p < 0.0001), and not parallel mass orientation (p= 0.0007) were more commonly associated with malignant masses. The sensitivity of breast ultrasound for malignancy was 93.9 % and the specificity was 55.6 % with an overall accuracy rate of 76.6 %. The negative predictive value was 88.7 % and the positive predictive value was 72.1 %. Descriptors like irregular shape, non-parallel orientation, angular and spiculated margins, echogenic halo, and markedly hypoechoic internal content, demonstrated higher odds ratios for malignancy.
This study adds valuable insights to the diagnosis of breast cancer using the sonographic BI-RADS lexicon features. The results demonstrate that specific sonographic descriptors can effectively differentiate between benign and malignant breast masses.
乳腺癌是全球最常见的女性癌症。筛查和诊断乳腺癌的首选方法是乳房X线摄影，与超声检查相比，乳房X线摄影在加纳的普及程度并不高。本研究旨在以组织病理学为金标准，使用新的超声乳腺影像报告和数据系统（BI-RADS-US）词典评估实性乳腺病变的超声特征以判断恶性程度。
这是一项前瞻性定量研究，对2018年5月至2021年5月间超声扫描发现有乳腺肿块的女性患者进行检查，并连续选取推荐进行核心活检的病例。使用超声BI-RADS词典特征描述了60个实性乳腺肿块。采用Pearson卡方检验对病变描述和组织病理学活检结果进行比较和分析。还计算了优势比、敏感性、特异性和预测值。统计学显著性水平设定为p≤0.05。
不规则形状（p<0.0001）、毛刺状肿块边缘（p<0.0001）和非平行肿块方向（p = 0.0007）与恶性肿块更为常见相关。乳腺超声对恶性肿瘤的敏感性为93.9%，特异性为55.6%，总体准确率为76.6%。阴性预测值为88.7%，阳性预测值为72.1%。不规则形状、非平行方向、角状和毛刺状边缘、回声晕以及明显低回声内部成分等描述符显示出更高的恶性优势比。
本研究为使用超声BI-RADS词典特征诊断乳腺癌提供了有价值的见解。结果表明，特定的超声描述符可以有效区分良性和恶性乳腺肿块。
