Breast cancer, a major contributor to female mortality globally, presents challenges in detection, prompting exploration beyond digital mammography. Contrast-Enhanced Mammography (CEM), integrating morphological and functional information, emerges as a promising alternative, offering advantages in cost-effectiveness and reduced anxiety compared to MRI. This study investigates CEM’s correlation with breast cancer prognostic factors, encompassing histology, grade, and molecular markers. In a retrospective analysis involving 114 women, CEM revealed diverse lesion characteristics. Statistical analyses identified correlations between specific CEM features, such as spiculated margins and irregular shape, and prognostic factors like tumor grade and molecular markers. Notably, spiculated margins predicted lower grade and HER2 status, while irregular shape correlated with PgR and Ki-67 status. The study emphasizes CEM’s potential in predicting breast cancer prognosis, shedding light on tumor behavior. Despite the limitations, including sample size and single-observer analysis, the findings advocate for CEM’s role in stratifying breast cancers based on biological characteristics. CEM features, particularly spiculated margins, irregular shape, and enhancement dynamics, may serve as valuable indicators for personalized treatment decisions. Further research is crucial to validate these correlations and enhance CEM’s clinical utility in breast cancer assessment.
乳腺癌作为全球女性死亡的主要原因，其检测面临挑战，促使人们探索数字乳腺X线摄影以外的技术。对比增强乳腺摄影（CEM）融合了形态学与功能信息，成为一种有前景的替代方案，与磁共振成像相比，在成本效益和减轻患者焦虑方面具有优势。本研究探讨了CEM与乳腺癌预后因素（包括组织学类型、分级及分子标志物）之间的相关性。通过对114名女性进行的回顾性分析，CEM揭示了多样化的病灶特征。统计分析发现，特定CEM特征（如毛刺状边缘和不规则形状）与肿瘤分级、分子标志物等预后因素存在相关性。值得注意的是，毛刺状边缘提示较低分级和HER2状态，而不规则形状则与PgR及Ki-67状态相关。本研究强调了CEM在预测乳腺癌预后方面的潜力，为揭示肿瘤生物学行为提供了新视角。尽管存在样本量有限和单观察者分析等局限性，研究结果仍支持CEM在基于生物学特征进行乳腺癌分层中的作用。CEM特征，特别是毛刺状边缘、不规则形状及强化动态变化，可能成为个性化治疗决策的重要指标。未来需进一步研究以验证这些相关性，并提升CEM在乳腺癌评估中的临床应用价值。
肿瘤(癌症)患者之家