Objective: To determine interobserver variability of nerve ultrasound in peripheral neuropathy in a prospective, systematic, multicenter study.
Methods: We enrolled 20 patients with an acquired chronic demyelinating or axonal polyneuropathy and 10 healthy controls in 3 different centers. All participants underwent an extensive nerve ultrasound protocol, including cross-sectional area measurements of median, ulnar, fibular, tibial, and sural nerves, and brachial plexus. Real-time image acquisition was performed blind by a local and a visiting investigator (reference). Five patients were investigated using different types of sonographic devices. Intraclass correlation coefficients were calculated, and a random-effects model was fitted to identify factors with significant effect on interobserver variability.
Results: Systematic differences between measurements made by different investigators were small (mean difference 0.11 mm [95% confidence interval 0.00-0.23 mm]). Intraclass correlation coefficients were generally higher in arm nerves (0.48-0.96) than leg nerves (0.46-0.61). The hospital site and sonographic device did not contribute significantly to interobserver variability in the random-effects model.
Conclusions: Interobserver variability of nerve ultrasound in peripheral neuropathy is generally limited, especially in arm nerves. Different devices and a multicenter setting have no effect on interobserver variability. Therefore, nerve ultrasound is a reproducible tool for diagnostics in routine clinical practice and (multicenter) research.
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http://dx.doi.org/10.1212/WNL.0000000000006856 | DOI Listing |
Cardiol Rev
October 2024
From the Department of Medicine, New York Medical College, Valhalla, NY.
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View Article and Find Full Text PDFAlzheimers Dement
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Ophthalmology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea, Republic of (South).
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View Article and Find Full Text PDFAlzheimers Dement
December 2024
Columbia University Irving Medical Center, New York, NY, USA.
Background: Recent advancements in connectome analyses allow for more fine-grained measurements of brain network integrity. One measure of integrity is resilience, or the capacity of the network to retain functionality when confronted with endogenous or exogenous perturbations that result in damage or error. We assessed the impact of individual differences in the resilience of resting BOLD connectivity on the relationship between cognitive and brain changes in a lifespan cohort of cognitively healthy adults over a 5-year period.
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