Borire Adeniyi A, Visser Leo H, Padua Luca, Colebatch James G, Huynh William, Simon Neil G, Kiernan Matthew C, Krishnan Arun V
Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
St. Elisabeth Ziekenhuis, Tilburg, The Netherlands.
Muscle Nerve. 2017 Jan;55(1):77-83. doi: 10.1002/mus.25200. Epub 2016 Nov 4.
We quantified intraneural blood flow (INBF) using perfusion measurement software (PixelFlux), and compared it with the qualitative method of counting blood vessels (vessel score) in a cohort of carpal tunnel syndrome (CTS) patients.
Forty-seven patients (67 wrists) with a clinical and electrophysiological diagnosis of CTS, and 20 healthy controls (40 wrists) were enrolled. Median nerve ultrasound (US) was performed at the carpal tunnel inlet to measure the cross-sectional area (CSA) and vessel score. Power Doppler sonograms from nerves with detectable INBF were processed with PixelFlux to obtain the maximum perfusion intensity (MPI).
Forty-nine percent of CTS patients had detectable INBF compared with none in the control group (P < 0.0001). MPI correlated significantly with vessel score (r = 0.945, P < 0.0001), CSA (r = 0.613, P < 0.0001), and electrophysiological severity (r = 0.440, P < 0.0001). MPI had higher intra- or interobserver reliability compared with vessel score (0.95 vs. 0.47).
MPI is a better method for quantification of INBF. Muscle Nerve, 2016 Muscle Nerve 55: 77-83, 2017.
我们使用灌注测量软件(PixelFlux)对神经内血流(INBF)进行定量,并将其与一组腕管综合征(CTS)患者中计数血管的定性方法(血管评分)进行比较。
纳入47例临床和电生理诊断为CTS的患者(67只手腕)以及20例健康对照者(40只手腕)。在腕管入口处进行正中神经超声(US)检查,以测量横截面积(CSA)和血管评分。对可检测到INBF的神经的功率多谱勒超声图用PixelFlux进行处理,以获得最大灌注强度(MPI)。
49%的CTS患者可检测到INBF,而对照组无一例可检测到(P < 0.0001)。MPI与血管评分(r = 0.945,P < 0.0001)、CSA(r = 0.613,P < 0.0001)以及电生理严重程度(r = 0.440,P < 0.0001)显著相关。与血管评分相比,MPI具有更高的观察者内或观察者间可靠性(0.9 vs. 0.47)。
MPI是定量INBF的更好方法。《肌肉与神经》,2016年。《肌肉与神经》55: 77 - 83,2017年。