SynthesisBMC neurology2016
The value of magnetic resonance imaging as a biomarker for amyotrophic lateral sclerosis: a systematic review.
Synthesis in BMC neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06491732 (Electrical Impedance Myography Via the Myolex mScan as an ALS Biomarker), which is not on this map. Cited by 43 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Electrical Impedance Myography Via the Myolex mScan as an ALS Biomarker
Who cites it
43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- Non-Invasive Brain Stimulation for Amyotrophic Lateral Sclerosis: Current Evidence and Future Perspectives.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Structural magnetic resonance imaging findings and histopathological correlations in motor neuron diseases-A systematic review and meta-analysis.Frontiers in neurology · 2022Pooled it
- Systematic Review: Quantitative Susceptibility Mapping (QSM) of Brain Iron Profile in Neurodegenerative Diseases.Frontiers in neuroscience · 2021Pooled it
- Cerebral metabolic patterns onEuropean journal of nuclear medicine and molecular imaging · 2026Article
- Voxel-mirrored homotopic connectivity in upper motor neuron-dominant amyotrophic lateral sclerosis is associated with different spread directions.Brain imaging and behavior · 2026Article
- Machine learning diagnostic model for amyotrophic lateral sclerosis analysis using MRI-derived features.Neuroradiology · 2025Article
- Magnetic Resonance Neuroimaging in Amyotrophic Lateral Sclerosis: A Comprehensive Umbrella Review of 18 Studies.Brain sciences · 2025Review
- Clinical Profiles and Patterns of Neurodegeneration in Amyotrophic Lateral Sclerosis: A Cluster-Based Approach Based on MR Imaging Metrics.AJNR. American journal of neuroradiology · 2023Article
- Mn-Based Methacrylated Gellan Gum Hydrogels for MRI-Guided Cell Delivery and Imaging.Bioengineering (Basel, Switzerland) · 2023Article
- Review
- An automated pipeline for extracting histological stain area fraction for voxelwise quantitative MRI-histology comparisons.NeuroImage · 2022Article
- Utility of the ALSFRS-R for predicting ALS and comorbid disease neuropathology: The Veterans Affairs Biorepository Brain Bank.Muscle & nerve · 2022Article
- Case Report: A 72-Year-Old Woman With Progressive Motor Weakness, Dry Eyes and High Levels of Serum Neurofilament Light Chain.Frontiers in neurology · 2022Article
- Medulla oblongata volume as a promising predictor of survival in amyotrophic lateral sclerosis.NeuroImage. Clinical · 2022Article
- Imaging immunological processes from blood to brain in amyotrophic lateral sclerosis.Clinical and experimental immunology · 2021Review
- Magnetic resonance metrics to evaluate the effect of therapy in amyotrophic lateral sclerosis: the experience with edaravone.Journal of neurology · 2021Article
- Diagnostics of Amyotrophic Lateral Sclerosis: Up to Date.Diagnostics (Basel, Switzerland) · 2021Review
- MRI DTI and PDFF as Biomarkers for Lower Motor Neuron Degeneration in ALS.Frontiers in neuroscience · 2021Article
- Dysregulation in Subcellular Localization of Myelin Basic Protein mRNA Does Not Result in Altered Myelination in Amyotrophic Lateral Sclerosis.Frontiers in neuroscience · 2021Article
- Feature selection from magnetic resonance imaging data in ALS: a systematic review.Therapeutic advances in chronic disease · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAmyotrophic lateral sclerosis (ALS) is a fatal, rapidly progressive neurodegenerative disease that mainly affects the motor system. A number of potentially neuroprotective and neurorestorative disease-modifying drugs are currently in clinical development. At present, the evaluation of a drug's clinical efficacy in ALS is based on the ALS Functional Rating Scale Revised, motor tests and survival. However, these endpoints are general, variable and late-stage measures of the ALS disease process and thus require the long-term assessment of large cohorts. Hence, there is a need for more sensitive radiological biomarkers. Various sequences for magnetic resonance imaging (MRI) of the brain and spinal cord have may have value as surrogate biomarkers for use in future clinical trials. Here, we review the MRI findings in ALS, their clinical correlations, and their limitations and potential role as biomarkers.
methodsThe PubMed database was screened to identify studies using MRI in ALS. We included general MRI studies with a control group and an ALS group and longitudinal studies even if a control group was lacking.
resultsA total of 116 studies were analysed with MRI data and clinical correlations. The most disease-sensitive MRI patterns are in motor regions but the brain is more broadly affected.
conclusionDespite the existing MRI biomarkers, there is a need for large cohorts with long term MRI and clinical follow-up. MRI assessment could be improved by standardized MRI protocols with multicentre studies.
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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.