A Novel Approach to Quantitatively Assess Posttraumatic Cervical Spinal Canal Compromise and Spinal Cord Compression
Bibliographic record
Abstract
In Brief Study Design. Multicenter retrospective study. Objective. To examine whether posttraumatic cervical spinal canal compromise and spinal cord compression are responsive to changes in motor and sensory functions. Summary of Background Data. The maximum canal compromise (MCC) and maximum spinal cord compression (MSCC) were developed to quantitatively assess canal stenosis and spinal cord compression using computed tomographic (CT) scan and magnetic resonance imaging (MRI) in the setting of acute spine trauma. Methods. We included 100 consecutive patients with acute spine trauma. Patients were classified into three groups as follows: patients with acute spine trauma without spinal cord injury (group 1), patients with incomplete spinal cord injury (group 2), and patients with complete spinal cord injury (group 3). We studied three quantitative imaging parameters given as follows: MCC using CT-based measurements, MCC using T1-MRI based measurements, and MSCC using T2-MRI based measurements. Results. There were 78 male patients and 22 female patients with ages from 17 to 82 years (mean age = 45 years). In group 1, there were no significant differences regarding the mean MRI-MCC and MSCC among the spine levels. Although most spine levels were statistically comparable regarding the CT-MCC in patients of group 1, the C7 level significantly differed from the C3 level. Comparisons among all three patient groups showed significant differences regarding the mean MRI-MCC and MSCC, but no significant differences were observed in the mean CT-MCC between groups 1 and 2, and between groups 1 and 3. Data analyses using operating characteristics of each radiologic parameter indicated that only the MRI parameters had consistently optimal cutoff points to distinguish between groups 1 and 2, and between groups 2 and 3. Conclusion. Our results suggest that the MRI-based measurements of canal compromise and spinal cord compression are responsive to changes in motor and sensory functions. However, the MCC using CT-based measurements provides inconsistent results that can result in misdiagnosis in the clinical setting. This multicenter retrospective study examines the responsiveness properties of posttraumatic cervical spinal canal compromise and spinal cord compression. Although the magnetic resonance imaging–based measurements of canal compromise and spinal cord compression are responsive to changes in motor and sensory functions, the maximum canal compromise using computed tomography–based measurements provides unreliable results that can result in misdiagnosis in the clinical setting.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".