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分段读出扩散加权成像序列ADC值在乳腺良恶性肿瘤鉴别诊断中的价值
Value of ADC of readout segmentation of long variable echo-trains in differential diagnosis of breast benign and malignant tumors
【摘要】 目的探讨分段读出扩散加权成像(RESOLVE)序列ADC值鉴别乳腺良恶性肿瘤的价值。方法收集经手术病理证实的乳腺肿瘤患者49例,其中良性肿瘤20例,恶性肿瘤29例,术前均行常规MRI及RESOLVE序列DWI扫描(b=0、800s/mm2),选取感兴趣区测量肿瘤的ADC值,采用独立样本t检验比较乳腺良性肿瘤组和恶性肿瘤组ADC值的差异,以病理结果为金标准,绘制ADC值的ROC曲线,分析ADC值对乳腺良、恶性肿瘤的诊断效能。结果乳腺良性肿瘤组ADC平均值为(1.368±0.371)×10-3mm2/s,恶性肿瘤组ADC平均值为(0.815±0.253)×10-3mm2/s,两组间比较差异有统计学意义(P<0.001)。ROC曲线显示,ADC值区分乳腺良恶性肿瘤的最佳诊断界值为1.013×10-3mm2/s,敏感性为92.81%,特异性为88.52%。结论 RESOLVE序列ADC值在乳腺良恶性肿瘤鉴别诊断中具有一定的应用价值。
【Abstract】 Objective To explore the value of ADC of readout segmentation of long variable echo-trains(RESOLVE) in differential diagnosis of benign and malignant breast tumors. Methods Selected 49 breast tumors patients confirmed by operation, 20 cases had breast benign tumors, 29 cases had breast malignant tumors. They all accepted MRI cxamination and RESOLVE(b=0 and 800s/mm2). Interested region(ROI) of breast tumor was drawn to record the ADC value. The difference of ADC value between benign and malignant breast tumors was compared by independent samples t-test. Receiver operating characteristic curve(ROC) was used to determine the best diagnostic cut-off point. Results The average value of ADC in breast benign tumors was(1.368±0.371)×10-3mm2/s. The average value of ADC in malignant breast tumors was(0.815±0.253)×10-3mm2/s. The difference of ADC between benign and malignant breast tumors was statistically significant(P<0.001). Receiver operating characteristic curve showed that the best diagnostic cut-off point was 1.013 ×10-3mm2/s, diagnostic sensitivity was 92.81% and specificity was88.52%. Conclusion RESOLVE ADC value is valuable in the differential diagnosis of benign and malignant breast tumors.
【Key words】 Breast tumors; Magnetic resonance imaging; Diffusion-weighted imaging;
- 【文献出处】 中国现代医药杂志 ,Modern Medicine Journal of China , 编辑部邮箱 ,2016年08期
- 【分类号】R737.9;R445.2
- 【被引频次】1
- 【下载频次】52