Adult Spinal Cord Injury without Radiographic Abnormalities (SCIWORA): Clinical and Radiological Correlations
Bibliographic record
Abstract
BACKGROUND: This study is aimed to determine the clinical and radiological corellations of adult patients with Spinal Cord Injury Without Radiographic Abnormalities (SCIWORA). METHODS: The study population consisted of all adult patients with suspected cervical spine injury. SCIWORA was defined as the presence of either no injury or a neural injury on Magnetic Resonance Imaging (MRI) in the absence of radiographic or Computed Tomographic (CT) Scan findings suggestive of trauma in patients with neurological deficit. Purely extra neural compressive lesions were excluded from the study. RESULTS: Twelve of ninety seven (12.4%) patients had a neural injury on MRI with normal radiographs and CT scan. These included cord contusion in five cases, cord edema in five cases and cord hemorrhage in two cases. Ten patients were managed conservatively and two patients with disc prolapse were managed surgically. All patients showed at least one ASIA Impairment Scale (AIS) grade improvement and three patients (25%) recovered completely. CONCLUSIONS: Parenchymal spinal cord injury is the single most important determinant in the long term outcome of adult SCIWORA patients. Cord hemorrhage has the worst prognosis and cord edema has the best. Longitudinal signal extension and associated extra neural injuries are also associated with poorer outcomes. Cases with purely neural injuries can be managed conservatively, but associated extra neural injuries, especially disc prolapse and ligamentous instability, warrant surgical management. KEYWORDS: Post Traumatic Myelopathy; Spinal Cord Trauma; Computed tomography; Magnetic resonance imaging; SCIWORA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".