Claudio Ventura, Marco Fogante, Elisabetta Marconi, Barbara Franca Simonetti, Silvia Borgoforte Gradassi, Nicola Carboni, Enrico Lenti, Giulio Argalia
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Spearman rank correlation and multivariable regression analysis were used to evaluate the relationship between CEM findings and histopathological characteristics. Tumor size on CEM strongly correlated with histopathological tumor size (ρ = 0.788, <i>p</i> < 0.001) and was associated with high-grade lesions (<i>p</i> = 0.017). Non-circumscribed margins were linked to a Luminal-B subtype (<i>p</i> = 0.001), while high lesion conspicuity was associated with Luminal-B and triple-negative BC (<i>p</i> = 0.001) and correlated with larger tumors (ρ = 0.517, <i>p</i> < 0.001). Background parenchymal enhancement was negatively correlated with age (ρ = -0.286, <i>p</i> = 0.049). CEM provides critical insights into BC, demonstrating significant relationship between imaging features and histopathological characteristics. 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引用次数: 0
摘要
对比增强乳房x线摄影(CEM)结合了形态学和功能成像,增强了乳腺癌(BC)的诊断。本研究探讨了BC的CEM形态动力学特征与组织病理学特征之间的关系。在这项前瞻性研究中,50名患有BI-RADS 4-5病变的女性患者(平均年龄:57.2±13.7岁)在2022年12月至2024年5月期间接受了CEM和手术切除。分析低能量和重组CEM图像的乳房组成,病变特征和增强模式,而组织病理学评估包括肿瘤大小,组织类型,分级,淋巴血管侵袭和免疫表型。使用Spearman秩相关和多变量回归分析来评估CEM结果与组织病理学特征之间的关系。CEM上的肿瘤大小与组织病理学肿瘤大小密切相关(ρ = 0.788, p < 0.001),并与高级别病变相关(p = 0.017)。非边界边缘与Luminal-B亚型相关(p = 0.001),而高病变显著性与Luminal-B和三阴性BC相关(p = 0.001),与较大的肿瘤相关(ρ = 0.517, p < 0.001)。背景实质增强与年龄呈负相关(ρ = -0.286, p = 0.049)。CEM提供了对BC的重要见解,证明了成像特征和组织病理学特征之间的重要关系。这些发现突出了CEM作为肿瘤大小估计、亚型表征和预后评估的可靠工具的潜力,表明它可以替代MRI,特别是对于有禁忌症的患者。
Morphodynamic Features of Contrast-Enhanced Mammography and Their Correlation with Breast Cancer Histopathology.
Contrast-enhanced mammography (CEM) combines morphological and functional imaging, enhancing breast cancer (BC) diagnosis. This study investigates the relationship between CEM morphodynamic features and histopathological characteristics of BC. In this prospective study, 50 female patients (mean age: 57.2 ± 13.7 years) with BI-RADS 4-5 lesions underwent CEM followed by surgical excision between December 2022 and May 2024. Low-energy and recombined CEM images were analyzed for breast composition, lesion characteristics, and enhancement patterns, while histopathological evaluation included tumor size, histotype, grade, lymphovascular invasion, and immunophenotype. Spearman rank correlation and multivariable regression analysis were used to evaluate the relationship between CEM findings and histopathological characteristics. Tumor size on CEM strongly correlated with histopathological tumor size (ρ = 0.788, p < 0.001) and was associated with high-grade lesions (p = 0.017). Non-circumscribed margins were linked to a Luminal-B subtype (p = 0.001), while high lesion conspicuity was associated with Luminal-B and triple-negative BC (p = 0.001) and correlated with larger tumors (ρ = 0.517, p < 0.001). Background parenchymal enhancement was negatively correlated with age (ρ = -0.286, p = 0.049). CEM provides critical insights into BC, demonstrating significant relationship between imaging features and histopathological characteristics. These findings highlight CEM's potential as a reliable tool for tumor size estimation, subtype characterization, and prognostic assessment, suggesting its role as an alternative to MRI, particularly for patients with contraindications.