Abstract：
This study systematically reviewed the role of diffusion-weighted imaging (DWI) in the assessment of molecular prognostic biomarkers in breast cancer, focusing on the correlation of apparent diffusion coefficient (ADC) with hormone receptor status and prognostic biomarkers. Our meta-analysis includes data from 52 studies examining ADC values in relation to estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), and Ki-67 status. The results indicated significant differences in ADC values among different receptor statuses, with ER-positive, PgR-positive, HER2-negative, and Ki-67-positive tumors having lower ADC values compared to their negative counterparts. This study also highlights the potential of advanced DWI techniques such as intravoxel incoherent motion and non-Gaussian DWI to provide additional insights beyond ADC. Despite these promising findings, the high heterogeneity among the studies underscores the need for standardized DWI protocols to improve their clinical utility in breast cancer management.
摘要：
本研究系统综述了扩散加权成像(DWI)在乳腺癌分子预后标志物评估中的作用。重点研究表观扩散系数（ADC）与激素受体状态和预后标志物的相关性。我们的荟萃分析包括来自52项研究的数据，这些研究检查了与雌激素受体（ER）相关的ADC值，孕激素受体（PgR），人表皮生长因子受体2（HER2），和Ki-67状态。结果表明，不同受体状态之间的ADC值存在显着差异，ER阳性，PgR阳性,HER2阴性,和Ki-67阳性肿瘤与阴性肿瘤相比具有较低的ADC值。这项研究还强调了先进的DWI技术的潜力，例如体素内不相干运动和非高斯DWI，以提供超出ADC的其他见解。尽管有这些有希望的发现，这些研究的高度异质性凸显了需要标准化的DWI方案,以提高其在乳腺癌治疗中的临床应用.
