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Record W4402316903 · doi:10.1002/jmri.29583

Longitudinal Multiparametric Quantitative <scp>MRI</scp> Evaluation of Acute and Chronic Multiple Sclerosis Paramagnetic Rim Lesions

2024· article· en· W4402316903 on OpenAlexafffund
Ahmed M. Elkady, Colm Elliott, Dumitru Fetco, David Araújo, Zahra Karimaghaloo, Marco Ganzetti, David Clayton, Licínio Craveiro, Agne Kazlauskaite, Sridar Narayanan, Douglas L. Arnold, David A. Rudko

Bibliographic record

VenueJournal of Magnetic Resonance Imaging · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsMcGill UniversityNeuroRx Research (Canada)Montreal Neurological Institute and Hospital
FundersCanada First Research Excellence FundMitacsF. Hoffmann-La RocheU.S. Department of Defense
KeywordsMultiple sclerosisMedicineLesionNuclear medicineMagnetic resonance imagingInternal medicinePathologyRadiologyImmunology

Abstract

fetched live from OpenAlex

Background Multiple sclerosis (MS) paramagnetic rim lesions (PRLs) are markers of chronic active biology and exhibit complex iron and myelin changes that may complicate quantification when using conventional MRI approaches. Purpose To conduct a multiparametric MRI analysis of PRLs. Study Type Retrospective/longitudinal. Subjects Ninety‐five progressive MS subjects with at least one persistent PRL who were enrolled in the CONSONANCE trial. Field Strength/Sequence 3‐T/Susceptibility‐weighted, T1‐weighted, T2‐weighted, and fluid‐attenuated inversion recovery. Assessment Acute/chronic PRLs and non‐PRLs were measured at screening, 24, 48, and 96 weeks using quantitative magnetic susceptibility (QS), R2*, and standardized T1w/T2w ratio (sT1w/T2w). PRL analyses were performed for whole lesion, core, and rim. The correlations between PRL core and rim sT1w/T2w, QS, and R2* were assessed. Statistical Tests Linear mixed models. A P‐value <0.05 was considered significant. Results There was a significant decrease in sT1w/T2w (−0.24 ± −5.3 × 10−3) and R2* (−3.6 ± 2.2 Hz) but a significant increase in QS (+21 ± 1.3 ppb) using whole‐lesion analysis of chronic PRLs compared to non‐PRLs at screening. Tissue damage accumulated at the 96‐week time point was more evident in acute/chronic PRLs compared to acute/chronic non‐PRLs (ΔsT1w/T2w = −0.21/−0.24 ± 0.033/0.0053; ΔR2* = −4.4/−3.6 ± 1.4/2.2 Hz). New, acute PRL sT1w/T2w significantly increased in lesion core (+4.3 × 10−3 ± 1.2 × 10−4) and rim (+5.6 × 10−3 ± 1.2 × 10−4) 24 weeks post lesion inception, suggestive of partial recovery. Chronic PRLs, contrastingly, showed significant decreases in sT1w/T2w over the initial 24 weeks for both core (−2.1 × 10−4 ± 2.0 × 10−5) and rim (−2.4 × 10−4 ± 2.0 × 10−5), indicative of irreversible tissue damage. Significant positive correlations between PRL core and rim sT1w/T2w (R2 = 0.53), R2* (R2 = 0.69) and QS (R2 = 0.52) were observed. Data Conclusion Multiparametric assessment of PRLs has the potential to be a valuable tool for assessing complex iron and myelin changes in chronic active PRLs of progressive MS patients. Level of Evidence 2 Technical Efficacy Stage 3

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.103
GPT teacher head0.370
Teacher spread0.267 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations7
Published2024
Admission routes2
Has abstractyes

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