双多普勒超声在端侧动脉吻合移植肾明显肾动脉狭窄诊断中的应用

Shruti Gandhi , Kajal Patel , Vivek Kute , Maulik Mehta
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引用次数: 0

摘要

目的评价流速参数在端侧动脉吻合术中检测60%肾动脉狭窄的准确性,并确定流速参数的最佳阈值。方法研究组17例经CT血管造影证实的移植肾动脉狭窄患者;对照组25例,多普勒检查正常。评价移植肾主动脉PSV、叶间动脉PSV、髂动脉PSV、加速时间、阻力指数等多普勒参数。计算psv前比和psv后比。根据CT血管造影报告将患者分为A组(狭窄率>60%)和B组(狭窄率<60%)。对照组为c组,采用个体t检验评价多普勒参数的差异。采用受试者工作曲线确定诊断狭窄的最佳参数。结果考虑到诊断60%狭窄的敏感性和特异性较好,确定了肾内RI、加速时间、PSV、PSV前比和PSV后比的最佳阈值分别为0.058、0.071 s、3.1 m/s、2和10。B组与C组加速时间P值;A、B组肾主动脉PSV P值、Pre-PSV比值、肾内RI均为0.05。结论post - psv比值是诊断明显狭窄的最佳参数,其最佳阈值为10。
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Duplex Doppler ultrasound for detection of significant renal artery stenosis in transplant kidney with end to side arterial anastomosis

Objective

To evaluate the accuracy of velocity parameters and to define optimum threshold values of these parameters in detection of >60% renal artery stenosis in patients with end to side arterial anastomosis.

Methods

The study group composed of 17 patients of transplant renal artery stenosis confirmed by CT angiography; and 25 control patients with normal Doppler study. Doppler parameters like PSV in main transplanted renal artery, PSV in interlobar artery, PSV in iliac artery, acceleration time, and resistive index were evaluated. Pre-PSV ratio and Post-PSV ratio were calculated. Patients were divided into group A (>60% stenosis) and B (<60% stenosis) according to CT angiography reports. Control group assigned as group C. Difference between Doppler parameters were evaluated by individual t test. Receiver operating curve was performed to determine optimal parameter for diagnosis of >60% stenosis.

Results

Considering better sensitivity and specificity for diagnosis of >60% stenosis the best threshold for Intrarenal RI, acceleration time, PSV, Pre-PSV ratio and Post-PSV ratio were determined to be 0.058, 0.071 s, 3.1 m/s, 2 and 10 respectively. P value of acceleration time between group B and C; and P value of PSV in main renal artery, Pre-PSV ratio and Intrarenal RI between group A and B is >0.05.

Conclusion

Post-PSV ratio is the best parameter for diagnosis of significant stenosis and its optimum threshold value is 10.

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