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作 者:王莹莹[1] 张焱[1] 程敬亮[1] 靳雅楠[1] 汤文瑞[1]
机构地区:[1]郑州大学第一附属医院磁共振科,郑州450052
出 处:《放射学实践》2017年第2期135-138,共4页Radiologic Practice
摘 要:目的:探讨磁共振扩散峰度成像(DKI)在乳腺良恶性病变鉴别诊断中的价值。方法:回顾性分析经穿刺活检或手术病理证实的45例乳腺病变患者的病例资料。45例患者共53个病灶,其中良性病灶31个(23例),恶性病灶22个(22例),所有患者均行双侧乳腺的常规MRI检查及DKI扫描,通过后处理工作站获得乳腺良、恶性病变组织的平均峰度(MK)、轴向峰度(AK)、径向峰度(RK)值。采用Mann-Whitney U秩和检验比较MK、AK及RK值在乳腺良、恶性病变中的统计学差异。采用受试者操作特性(ROC)曲线评价上述参数对乳腺良、恶性病变的诊断效能。结果:乳腺恶性病变的MK、AK及RK值均明显高于良性病变,且差异均具有统计学意义(P均<0.001)。MK、AK、RK的ROC曲线下面积(AUC)分别是0.886、0.930、0.881;良恶性诊断界值分别为0.45900、0.7250、0.3430;敏感度分别为95.6%、86.4%、90.9%;特异度分别为64.5%、87.1%、66.7%。结论:DKI获得的MK、AK、RK在乳腺良恶性病变的鉴别诊断中具有一定的价值。Objective:To investigate the value of diffusion kurtosis imaging(DKI)in the differential diagnosis of benign and malignant breast lesions.Methods:A retrospective analysis of 45 cases with 53 breast lesions confirmed by biopsy or operation and pathology were reviewed,including 31 benign lesions and 22 malignant lesions.All patients underwent routine MRI scan and DKI scan with a 3.0TGE 750 unit.All parameters were measured at the workstation,including the mean kurtosis(MK)、axial kurtosis(AK)and radial kurtosis(RK)of malignant lesions and benign lesions.Mann-whitney U test was used to compare the parameters between malignant lesions and benign lesions.Receiver operating characteristic(ROC)were used to compare the diagnostic capability of the MK,AK and RK.Results:The values of MK,AK and RK in malignant lesions were higher than those in benign lesions and there was significant statistical difference in MK,AK and RK values between the malignant lesions and benign lesions(P〈0.001).The areas under the ROC curve(AUC)of MK,AK,RK were 0.886,0.930,0.881,respectively.Using the 0.4590,0.7250,0.3430 as the cutoff of the evalution of benign and malignant lesions respectively,the sensitivity was 95.6%,86.4%,90.9% and the specificity was 64.5 %,87.1%,66.7% respectively.Conclusion:The parameters(MK,AK and RK)derived from the diffusion kurtosis imaging(DKI)could be helpful for differentiation between benign and malignant breast lesions.
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