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扩散加权成像与传统磁共振成像联合诊断乳腺疾病

Chinese Journal of Medical Imaging(2016)

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Abstract
目的 探讨扩散加权成像(DWI)与常规MRI征象联合诊断乳腺疾病的模式及诊断效能.资料与方法 采用前瞻性研究,99例乳腺疾病患者共109个病变术前行3.0T乳腺MRI及DWI检查,经术后病理或长期随访确诊.乳腺良恶性病变的表观扩散系数(ADC)值进行同一观察者、不同观察者共3次测量,采用受试者操作特征曲线、串联并联诊断试验、机器学习探讨多参数联合对乳腺良恶性疾病的诊断效能.结果 ADC值的观察者内组内相关系数为0.950 (95% CI0.928~0.965);观察者间组内相关系数为0.937 (95% CI 0.909~0.956);良性病变与恶性病变的ADC值分别为(1.447±0.377) ×10-3 mm2/s、(1.054±0.255)×10-3 mm2/s,差异有统计学意义(P<0.05).以ADC值1.125×10-3 mm2/s为阈值鉴别良恶性病变的敏感度和特异度分别为82.4%、74.1%,联合其他传统MRI征象可使敏感度、特异度高于单一ADC值诊断.结论 ADC值具有良好的可重复性和稳定性,ADC值与传统MRI征象联合应用可以更好地鉴别乳腺病灶的良恶性.
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Key words
Breast neoplasms,Magnetic resonance imaging,Diffusion weighted imaging,Apparent diffusion coefficient,Pathology,surgical,Diagnosis,differential
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