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表观扩散系数值离散系数在乳腺良恶性病变鉴别诊断中的应用 被引量:12

Application of coefficient variance of ADC value in differential diagnosis of benign and malignant breast lesions
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摘要 目的:探讨表观扩散系数(ADC)值的离散系数对于乳腺良恶性病变鉴别诊断的应用价值。方法:搜集96例患者磁共振乳腺病灶98个,分别测量每一病灶ADC值的均值(x)及标准差(s),并计算每一个病灶ADC值的离散系数CV(CV=s/x)。评估病灶ADC值均值及CV的诊断效能。结果:乳腺良恶性病变组ADC值均值[良性(1.42±0.32)×10^(-3)mm^2/s,恶性(1.04±0.29)×10^(-3)mm^2/s]及CV(良性0.10±0.03,恶性0.17±0.04),两组间均有统计学差异(P<0.0001)。乳腺良性与恶性病变之间ADC-CV差异的效应量(Cohen's d值,1.98)高于良性与恶性病变之间ADC均值差异的效应量(1.25)。ADC-CV ROC曲线的AUC(0.935±0.0227)也显著大于ADC均值ROC曲线的AUC(0.790±0.0447)(P<0.01)。结论:乳腺病变DWI检查中ADC-CV较ADC值均值在诊断乳腺良恶性病变中具有更高的诊断效能。 Objective:To evaluate the usefulness of coefficient variance (CV)of apparent diffusion coefficient (ADC) value in differential diagnosis of benign and malignant breast lesions. Methods:The mean value (x) and standard deviation (s) of ADC value of 98 lesions in 96 patients were measured. The CV of the lesion was denned as CV= s/x. The effieieneies of ADC value and CV were assessed. Results:There was obvious difference between the mean value of ADC [benign (1.42±0.32) ×10^-3mm^2/s,malignant (1.04±0.29)×10^-3mm^2/s] and CV (benign 0.10±0. 03 , malignant 0.17±0.04) of breast lesions (P〈0. 0001). The Cohen's d value of the differentiation of ADC-CV between benign and malignant lesions (1.98) was higher than that of ADC value (1.25). And the AUC of ROC of CV (0. 935±0. 0227) was significantly greater than that of ADC value (0. 790±0. 0447)(P〈0.01). Conclusion:Compared with ADC value,ADC-CV can improve the di- agnostic performance of breast lesions.
出处 《放射学实践》 北大核心 2017年第6期569-571,共3页 Radiologic Practice
基金 国家公益性行业科研专项"分子影像学在女性常见恶性肿瘤(乳腺癌 宫颈癌)早期诊断 治疗疗效及预后评估中的应用研究"(201402020)
关键词 乳腺疾病 磁共振成像 诊断 鉴别 Breast diseases Magnetic resonance imaging Diagnosis differential
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