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动态增强磁共振在肺孤立性结节灶中的定量化研究 被引量:13

The quantitative study of dynamic contrast enhanced MRI in solitary pulmonary nodules
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摘要 目的:利用动态增强MRI的血流动力学参数评估孤立性肺结节,并探讨该方法在鉴别肺结节的良恶性的应用价值。方法:搜集2013年8月-2014年5月期间在本院行动态增强MRI扫描的孤立性肺结节的患者47例(其中恶性结节31例,良性结节16例)。先行全肺常规平扫,然后利用三维快速容积扫描技术(LAVA)对病灶和纵隔进行灌注扫描,测量注药前和注药后15期病灶的信号强度,拟合得到时间-信号曲线(T-SI曲线),计算注药后第1、2、4min信号增强比(SI1%、SI2%、SI4%)和最大信号增强比(MER),达到峰值信号的时间(Tmax),最大上升斜率(SS)以及廓清率(washout)。结果:恶性结节的平均强化量ME、SI1%、SI2%、SI4%、MER、SS、Tmax均与良性结节具有显著性差异(P<0.05),其中SI1%、SI2%、SI4%、MER、Tmax、SS具有非常显著统计学差异(P<0.01)。T-SI曲线可以分为4种类型,恶性结节以A型和B型为主,占30/31,良性结节主要是B型、C型为主,占12/16,D型曲线能够确定结节为良性。结论:利用DCE-MRI可以反映血流动力学参数,作为鉴别恶性病变、良性病变的有潜在前景的检查方法。 Objective:This study is to investigate if kinetic parameters of DCE-MR imaging may help to differentiate ma-lignant and benign SPNs.Methods:A total of 47 patients with SPNs (31 malignant nodules and 16 benign nodules)under-went routine SE/T1WI and FSE/T2WI scanning and liver acquisition of volume accelaration (LAVA)DCE-MRI exams. Two experienced radiologists measured the signal intensity of the mass in 15 phases,generating temporal signal curves.The following analysis were taken:signal at 1,2,4 minutes after bolus injection and the maximum enhancement ratio (MER);time at the maximum enhancement ratio (Tmax);the steepest rising slope of time-signal curves;mean enhancement value and washout ratio.Results:It was found that ME,SI1%,SI2%,SI4%,MER,SS,Tmax for the malignant group were signif-icantly different from those for the benign SPN group (P 〈0.05)and SI1%,SI2%,SI4%,MER,Tmax,SS were much sig-nificantly different (P 〈0.01).The temporal-signal curves were classified into four types.The results showed that type A and B curves were main types for malignant nodules,whereas type B and C mainly occur in the case of benign nodules.In type D three were all benign tumors.Conclusion:DCE-MRI may be a viable tool in differentiating malignant SPNs from be-nign SPNs with the use of kinetic parameters.
出处 《放射学实践》 2014年第10期1158-1162,共5页 Radiologic Practice
关键词 磁共振成像 诊断 鉴别 Lung Magnetic resonance imaging Diagnosis,differential
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