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首页> 外文期刊>Frontiers in Oncology >Potential of Diffusion-Weighted Imaging in the Characterization of Malignant, Benign, and Healthy Breast Tissues and Molecular Subtypes of Breast Cancer
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Potential of Diffusion-Weighted Imaging in the Characterization of Malignant, Benign, and Healthy Breast Tissues and Molecular Subtypes of Breast Cancer

机译:弥散加权成像在恶性,良性和健康乳腺癌组织和乳腺癌分子亚型表征中的潜力

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The role of apparent diffusion coefficient (ADC) in the diagnosis of breast cancer and its association with molecular biomarkers was investigated in 259 patients with breast cancer, 67 with benign pathology, and 54 healthy volunteers using diffusion-weighted imaging (DWI) at 1.5?T. In 59 breast cancer patients, dynamic contrast-enhanced MRI (DCEMRI) was also acquired. Mean ADC of malignant lesions was significantly lower (1.02?±?0.17?×?10~(?3)?mm~(2)/s) compared to benign (1.57?±?0.26?×?10~(?3)?mm~(2)/s) and healthy (1.78?±?0.13?×?10~(?3)?mm~(2)/s) breast tissues. A cutoff ADC value of 1.23?×?10~(?3)?mm~(2)/s (sensitivity 92.5%; specificity 91.1%; area under the curve 0.96) to differentiate malignant from benign diseases was arrived by receiver operating curve analysis. In 10/59 breast cancer patients, indeterminate DCE curve was seen, while their ADC value was indicative of malignancy, implying the potential of the addition of DWI in increasing the specificity of DCEMRI data. Further, the association of ADC with tumor volume, stage, hormonal receptors [estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor (HER2)], and menopausal status was investigated. A significant difference was seen in tumor volume between breast cancer patients of stages IIA and IIIA, IIB and IIIA, and IIB and III (B?+?C), respectively ( P ?
机译:使用扩散加权成像(DWI)在1.5?的条件下,对259名乳腺癌患者,67名良性病理患者和54名健康志愿者进行了表观扩散系数(ADC)在乳腺癌诊断中的作用及其与分子生物标志物的关系的研究。 T.在59例乳腺癌患者中,还获得了动态对比增强MRI(DCEMRI)。恶性病变的平均ADC显着低于良性(1.07?±?0.17?×?10〜(?3)?mm〜(2)/ s)(1.57?±?0.26?×?10〜(?3)/ s)乳腺组织(?mm〜(2)/ s)和健康的(1.78?±?0.13?×?10〜(?3)?mm〜(2)/ s)乳腺组织。接收者操作曲线得出了区分恶性和良性疾病的临界ADC值1.23××10〜(3)×mm〜(2)/ s(灵敏度为92.5%;特异性为91.1%;曲线下面积为0.96)。分析。在10/59乳腺癌患者中,观察到不确定的DCE曲线,而其ADC值指示恶性肿瘤,这意味着增加DWI可能增加DCEMRI数据的特异性。此外,研究了ADC与肿瘤体积,分期,激素受体[雌激素受体(ER),孕激素受体(PR)和人表皮生长因子(HER2)]和更年期状态之间的关系。分别在IIA和IIIA期,IIB和IIIA期,IIB和III期的乳腺癌患者中观察到肿瘤体积的显着差异(B≥+ C)(P≤0.05)。早期乳腺癌(n = 52)患者的ADC和肿瘤体积明显低于局部晚期乳腺癌(n = 207)。在ADC和肿瘤体积与更年期状态之间未发现关联。与ER +,PR +和非三重阴性(nTN)癌症相比,具有ER?,PR?和三阴性(TN)状态的乳腺癌的肿瘤体积明显更大。而且,与ER +,PR +和nTN癌症相比,TN肿瘤显示出明显更高的ADC。 ER患者?和TN癌比ER +和nTN癌年轻。本研究表明,ADC可能会增加DCEMRI的诊断特异性,并且可用于临床环境中的治疗管理。另外,它提供了对乳腺癌分子类型表征的洞察力,并且可以用作潜在肿瘤扩散的代谢重编程的指标。

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