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Record W2047596225 · doi:10.1148/radiol.2433060583

Acute Cervical Traumatic Spinal Cord Injury: MR Imaging Findings Correlated with Neurologic Outcome—Prospective Study with 100 Consecutive Patients<sup>1</sup>

2007· article· en· W2047596225 on OpenAlexaff
Firoz Miyanji, Julio C. Furlan, Bizhan Aarabi, Paul M. Arnold, Michael G. Fehlings

Bibliographic record

VenueRadiology · 2007
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineMagnetic resonance imagingCordSpinal cord injurySpinal cordStenosisEdemaSurgeryRepeated measures designLesionRadiology

Abstract

fetched live from OpenAlex

PURPOSE: To prospectively evaluate whether quantitative and qualitative magnetic resonance (MR) imaging assessments after spinal cord injury (SCI) correlate with patient neurologic status and are predictive of outcome at long-term follow-up. MATERIALS AND METHODS: The study included 100 patients (79 male, 21 female; mean age, 45 years; age range, 17-96 years) with traumatic cervical SCI. Ethics committee approval and informed consent were obtained. The American Spinal Injury Association (ASIA) motor score was used as the outcome measure at admission and follow-up. The ASIA impairment scale was used to classify patients according to injury severity. Three quantitative (maximum spinal cord compression [MSCC], maximum canal compromise [MCC], and lesion length) and six qualitative (intramedullary hemorrhage, edema, cord swelling, soft-tissue injury [STI], canal stenosis, and disk herniation) imaging parameters were studied. Data were analyzed by using the Fisher exact test, the Mantel-Haenszel chi(2) test, analysis of variance, analysis of covariance, and stepwise multivariable linear regression. RESULTS: Patients with complete motor and sensory SCIs had more substantial MCC (P=.005), MSCC (P=.002), and lesion length (P=.005) than did patients with incomplete SCIs and those with no SCIs. Patients with complete SCIs also had higher frequencies of hemorrhage (P<.001), edema (P<.001), cord swelling (P=.001), stenosis (P=.01), and STI (P=.001). MCC (P=.012), MSCC (P=.014), and cord swelling (P<.001) correlated with baseline ASIA motor scores. MSCC (P=.028), hemorrhage (P<.001), and cord swelling (P=.029) were predictive of the neurologic outcome at follow-up. Hemorrhage (P<.001) and cord swelling (P=.002) correlated significantly with follow-up ASIA score after controlling for the baseline neurologic assessment. CONCLUSION: MSCC, spinal cord hemorrhage, and cord swelling are associated with a poor prognosis for neurologic recovery. Extent of MSCC is more reliable than presence of canal stenosis for predicting the neurologic outcome after SCI.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.031
GPT teacher head0.365
Teacher spread0.334 · 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".

Quick stats

Citations400
Published2007
Admission routes1
Has abstractyes

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