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Record W4411666120 · doi:10.1016/j.nicl.2025.103832

Cervical spinal cord MRI in ALS individuals: a systematic review and meta-analysis

2025· review· de· W4411666120 on OpenAlexaboutno aff
Taravat Yazdanian, Parisa Azimi, Suma Babu

Bibliographic record

VenueNeuroImage Clinical · 2025
Typereview
Languagede
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
FundersAmerican Academy of NeurologyALS Association
KeywordsMeta-analysisMedicineSpinal cordMagnetic resonance imagingNeurosciencePsychologyRadiologyPathologyPsychiatry

Abstract

fetched live from OpenAlex

Background Disease tracking and prognostication of amyotrophic lateral sclerosis (ALS) can be quite challenging in people living with ALS, due to the complexity of central nervous system disease biology . This systematic review and meta-analysis aim to summarize cervical spinal cord quantitative MRI (qMRI) biomarker changes in individuals with ALS. Methods PubMed, Scopus, Cochrane Library, and Web of Science databases were searched up to August 2023. The terms used were “ALS”, “cervical spinal cord”, “MRI”,“ diffusion tensor imaging (DTI)”, “ fractional anisotropy (FA)”, “ mean diffusivity (MD) ”,“ magnetization transfer ratio (MTR)”, “ cross-sectional area (CSA)”, “ radial diffusivity (RD) ”, and “ atrophy ”. The Newcastle-Ottawa scale (NOS) was used to assess study quality. We calculated the pooled: 1) Standardized mean difference (SMD) and 95% CIs for comparative assessment of qMRI parameters in ALS individuals and the healthy population. 2) Estimate the mean of qMRI parameters for normative values in two groups by CMA software. Heterogeneity and publication bias were determined by the I-squared statistic and funnel plots. Results Thirty studies, with 1817 participants (35.9 % female) were included in this review, and 29 had a NOS ≥ 5 which indicates high-quality of data overall. The SMD analysis showed (a) significant decrease in CSA along the whole length of cervical cord (C1-C7) (p value < 0.0001), with a preferential thinning of the cervical enlargement region (C4-C6 region) (p value < 0.0001) (b) significant decrease in FA (p value < 0.0001), particularly FA left lateral corticospinal tract (p value < 0.0001) and (c) a significant increase in MD (p value < 0.0001) in ALS individuals compared to controls. The pooled analysis reveals that the mean (SD) values for ALS individuals versus controls for (a) CSA (in mm 2 ) were C1 [73.4 (0.75), 78.5 (0.67), 6.9 % difference]; C2 [70.6 (3.1), 71.5 (3.5), 1.2 % difference]; C3 [69.8(1.5), 74.9 (1.9), 7.3 % difference]; C4 [71.9 (1.8), 77.6 (2.8), 7.9 % difference]; C5 [71.8 (2.5), 79.5 (3.3), 10.7 % difference]; C6 [66.8 (2.7), 73.7 (3.7), 10.3 % difference]; C7 [56.7 (F2.2), 62.1 (2.5), 9.5 % difference]; (b) FA [0.54 (0.03), 0.56 (0.03)]; (c) MD[1.11 (0.18), 0.88(0)]; and (d) FA LLCST [ 0.65 (0.04), 0.77 (0.04)], respectively. The mean (SD) value of the MTR and RD for ALS individuals was 40.3 (2.3), and 0.70 (0.0). Conclusions qMRI metrics of spinal cord show discriminatory potential between ALS and healthy controls. The selective atrophy of the cervical enlargement (C4–C6) is replicable across multiple studies as seen in this metanalysis and hence is a potential imaging marker for quantifying and tracking lower motor neuron degeneration in ALS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0390.011
Bibliometrics0.0010.005
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0040.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.315
GPT teacher head0.521
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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