Liu Xin, Zhang Na, Fan Zhaoyang, Feng Fei, Yang Qi, Zheng Hairong, Liu Pengcheng, Li Debiao
Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, Shenzhen, China.
J Magn Reson Imaging. 2014 Dec;40(6):1422-9. doi: 10.1002/jmri.24477. Epub 2013 Nov 8.
To evaluate the diagnostic performance of a newly developed non-contrast-enhanced MR angiography (NCE-MRA) technique using flow-sensitive dephasing (FSD) prepared steady-state free precession (SSFP) for detecting calf arterial disease in patients with diabetes.
Forty-five patients with diabetes who underwent routine contrast-enhanced MR angiography (CE-MRA) of lower extremities were recruited for NCE-MRA at the calf on a 1.5 Tesla MR system. Image quality evaluated on a 4-point scale and diagnostic performance for detecting more than 50% arterial stenosis were statistically analyzed, using CE-MRA as the standard of reference.
A total of 264 calf arterial segments were obtained in the 45 patients with 88 legs. The percentage of diagnostic arterial segments was all 98% for NCE- and CE-MRA. The image quality, SNR, CNR was 3.3, 177, 138, and 3.5, 103, 99, for NCE-MRA and CE-MRA, respectively. The average sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of NCE-MRA were 97%, 96%, 90%, 99%, and 96%, respectively on a per-segment basis and 90%, 84%, 82%, 91%, and 87%, respectively, on a per-patients basis.
The NCE-MRA technique demonstrates adequate image quality in the delineation of calf arteries and consistent diagnostic performance for detecting significant stenosis with CE-MRA in patients with diabetes.
评估一种新开发的利用流动敏感去相位（FSD）准备的稳态自由进动（SSFP）的非对比增强磁共振血管造影（NCE-MRA）技术在检测糖尿病患者小腿动脉疾病方面的诊断性能。
招募45例接受下肢常规对比增强磁共振血管造影（CE-MRA）的糖尿病患者，在1.5特斯拉磁共振系统上对其小腿进行NCE-MRA检查。以4分制评估图像质量，并以CE-MRA作为参考标准，对检测超过50%动脉狭窄的诊断性能进行统计分析。
45例患者共88条腿，获得264个小腿动脉节段。NCE-MRA和CE-MRA的诊断动脉节段百分比均为98%。NCE-MRA和CE-MRA的图像质量、信噪比、对比噪声比分别为3.3、177、138和3.5、103、99。NCE-MRA在每个节段基础上的平均灵敏度、特异度、阳性预测值、阴性预测值和准确率分别为97%、96%、90%、99%和96%，在每个患者基础上分别为90%、84%、82%、91%和87%。
NCE-MRA技术在描绘小腿动脉方面显示出足够的图像质量，并且在检测糖尿病患者显著狭窄方面与CE-MRA具有一致的诊断性能。
