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首页> 外文期刊>Frontiers in Oncology >Differentiation of Breast Lesions and Distinguishing Their Histological Subtypes Using Diffusion-Weighted Imaging and ADC Values
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Differentiation of Breast Lesions and Distinguishing Their Histological Subtypes Using Diffusion-Weighted Imaging and ADC Values

机译:使用扩散加权成像和ADC值来分化乳房病变并区分组织学亚型

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Diffusion-weighted imaging (DWI) has not been well explored in differentiation of malignant from benign breast lesions. The aims of this study were to examine the role of apparent diffusion coefficient (ADC) values in differentiation of malignant from benign tumors and distinguishing histological subtypes of malignant lesions, and to determine correlations between ADC values and breast tumors structure. This cohort-study included 174 female patients who underwent contrast-enhanced breast MR examination on a 3T scanner and were divided into two groups: patient group (114 patients with proven tumors) and control group (60 healthy patients). One-hundred-thirty-nine lesions (67 malignant and 72 benign) were detected and pathohistologically analyzed. Differences between variables were tested using chi-square test; correlations were determined using Pearson's correlation test. For determination of cut off values for diagnostic potential, Receiver Operating Characteristic curves were constructed. Statistical significance was set at p & 0.05. Mean ADC values were significantly lower in malignant compared to benign lesions (0.68 × 10 ~(?3)mm ~(2)/s vs. 1.12 × 10 ~(?3)mm ~(2)/s, p & 0.001). The cut off value of ADC for benign lesions was 0.792 × 10 ~(?3)mm ~(2)/s (sensitivity 98.6%, specificity 65.7%), and for malignant 0.993 × 10 ~(?3)mm ~(2)/s (98.5, 80.6%). There were no significant correlations between malignant lesion subtypes and ADC values. DWI is a clinically useful tool for differentiation of malignant from benign lesions based on mean ADC values. The cut off value for benign lesions was higher than reported recently, due to high amount of fibrosis in included benign lesions. Finally, ADC values might have implications in determination of the biological nature of the malignant lesions.
机译:扩散加权成像(DWI)在良性乳腺病变的恶性分化中尚未充分探索。本研究的目的是研究表观扩散系数(ADC)值在恶性肿瘤的分化中的作用,以及区分恶性病变的组织学亚型,并确定ADC值与乳腺肿瘤结构之间的相关性。该队列研究包括174名雌性患者在3T扫描仪上进行了对比增强的乳房先生检查,分为两组:患者组(114例经过验证的肿瘤患者)和对照组(60名健康患者)。检测到一百三十九个病变(67个恶性和72个良性),并分析了病变。使用Chi-Square测试测试变量之间的差异;使用Pearson的相关测试确定相关性。为了确定用于诊断电位的切断值,构建了接收器操作特征曲线。统计显着性设定为P& 0.05。与良性病变相比,恶性的平均ADC值显着降低(0.68×10〜(α3)mm〜(2)/ s与1.12×10〜(α3)mm〜(2)/ s,p <0.001 )。良性病变的ADC的切断值为0.792×10〜(?3)mm〜(2)/ s(灵敏度98.6%,特异性65.7%),恶性为0.993×10〜(?3)mm〜(2 )/ s(98.5,80.6%)。恶性病变亚型和ADC值之间没有显着的相关性。 DWI是一种临床上有用的工具,用于基于平均ADC值来分化恶性恶性的分化。由于包括良性病变的大量纤维化,良性病变的截止值高于最近报道。最后,ADC值可能对测定恶性病变的生物学性质具有影响。

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