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Record W1969495288 · doi:10.1002/nbm.1527

Proton MRS of large multiple sclerosis lesions reveals subtle changes in metabolite T<sub>1</sub> and area

2010· article· en· W1969495288 on OpenAlexafffund
Elana Brief, Irene M. Vavasour, Cornelia Laule, D. K. B. Li, Alex L. MacKay

Bibliographic record

VenueNMR in Biomedicine · 2010
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
FundersUniversity of British ColumbiaMultiple Sclerosis Society
KeywordsMetaboliteLesionVoxelCreatineMultiple sclerosisNuclear medicineCholineIn vivo magnetic resonance spectroscopyWhite matterMedicineChemistryPathologyNuclear magnetic resonanceMagnetic resonance imagingRadiologyInternal medicinePhysicsImmunology

Abstract

fetched live from OpenAlex

The T(1) values of metabolites were measured in eight subjects with clinically definite multiple sclerosis (MS) having at least one large brain lesion (2.6 ± 0.7 mL) and in eight age- and sex-matched healthy controls. MRS examinations were conducted at 1.5 T using point-resolved spectroscopy (PRESS) (TE = 30 ms, TR = 530, 750, 1200, 1500, 3500, 5000 ms). Spectra were acquired from a voxel placed in the largest lesion in the subject with MS, and in a corresponding voxel (same size and region) in normal white matter (NWM) in the matched control, and were fitted using LCModel. As there are regional variations in metabolite and water T(1) and metabolite signal areas, careful placement of the control voxel was necessary to measure subtle differences between the lesions and NWM. The T(1) and T(1)-corrected signal areas of creatine were the same in MS lesions as in controls. The T(1) values of choline were significantly shorter in MS lesions located in occipital and parietal, but not in frontal, white matter. N-Acetylaspartate (NAA) and myoinositol T(1) values in MS lesions were similar to those in NWM; however, the area of myoinositol correlated directly with lesion water T(1), and the area of NAA correlated inversely with lesion water T(1). MR spectra acquired at short TR require T(1) correction of choline for accurate quantification. Careful voxel placement in controls to match lesion location in subjects with MS enables a clearer view of the subtle changes in lesions.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.068
GPT teacher head0.327
Teacher spread0.258 · 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 teacher head, 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".

Quick stats

Citations16
Published2010
Admission routes2
Has abstractyes

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