ArticleUltrasound in medicine & biology2019
Foreground Detection Analysis of Ultrasound Image Sequences Identifies Markers of Motor Neurone Disease across Diagnostically Relevant Skeletal Muscles.
Article in Ultrasound in medicine & biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05314348 (Exploring the Electro-mechanical Coupling of Fasciculations in Motor Neuron Disease Using Surface Electromyography and Ultrasound), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Exploring the Electro-mechanical Coupling of Fasciculations in Motor Neuron Disease Using Surface Electromyography and Ultrasound: a Feasibility Study
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020Pooled it
- Ultrasound-derived changes in thickness of human ankle plantar flexor muscles during walking and running are not homogeneous along the muscle mid-belly region.Scientific reports · 2019Trial
- Quantitative Spatiotemporal Analysis of Ultrasound Images of Fasciculations in ALS.Muscle & nerve · 2026Article
- Wild-type MECP2 expression coincides with age-dependent sensory phenotypes in a female mouse model for Rett syndrome.Journal of neuroscience research · 2023Article
- Physical and electrophysiological motor unit characteristics are revealed with simultaneous high-density electromyography and ultrafast ultrasound imaging.Scientific reports · 2022Article
- Comparison between ultrasound and electromyography for detection of fasciculations in amyotrophic lateral sclerosis: an updated systematic review and meta-analysis.Radiologia brasileiraReview
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Diagnosis of motor neurone disease (MND) includes detection of small, involuntary muscle excitations, termed fasciculations. There is need to improve diagnosis and monitoring of MND through provision of objective markers of change. Fasciculations are visible in ultrasound image sequences. However, few approaches that objectively measure their occurrence have been proposed; their performance has been evaluated in only a few muscles; and their agreement with the clinical gold standard for fasciculation detection, intramuscular electromyography, has not been tested. We present a new application of adaptive foreground detection using a Gaussian mixture model (GMM), evaluating its accuracy across five skeletal muscles in healthy and MND-affected participants. The GMM provided good to excellent accuracy with the electromyography ground truth (80.17%-92.01%) and was robust to different ultrasound probe orientations. The GMM provides objective measurement of fasciculations in each of the body segments necessary for MND diagnosis and hence could provide a new, clinically relevant disease marker.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.