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Utility of maximum perfusion intensity as an ultrasonographic marker of intraneural blood flow
Author(s) -
Borire Adeniyi A.,
Visser Leo H.,
Padua Luca,
Colebatch James G.,
Huynh William,
Simon Neil G.,
Kiernan Matthew C.,
Krishnan Arun V.
Publication year - 2017
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.25200
Subject(s) - medicine , perfusion , carpal tunnel syndrome , ultrasound , blood flow , median nerve , intensity (physics) , nuclear medicine , radiology , cardiology , surgery , physics , quantum mechanics
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. Methods: 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). Results: 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). Conclusion: MPI is a better method for quantification of INBF. Muscle Nerve , 2016 Muscle Nerve 55 : 77–83, 2017