Correlation of Postmortem 9.4 Tesla Magnetic Resonance Imaging and Immunohistopathology of the Human Thoracic Spinal Cord 7 Months after Traumatic Cervical Spine Injury
Bibliographic record
Abstract
OBJECTIVE: To correlate high-resolution magnetic resonance imaging (MRI) with immunohistopathology in the injured human spinal cord. METHODS: Postmortem MRI scans at a field strength of 9.4 T, as well as standard histology and immunohistochemistry, were performed on an excised specimen of human high thoracic spinal cord, obtained 7 months after the initial trauma, several segments below a severe spinal cord lesion (C5). RESULTS: A precise correlation is described between MRI and immunohistochemistry of the long white matter tracts undergoing Wallerian degeneration and of an extension of the cervical lesion into the high thoracic cord. CONCLUSION: MRI, the only imaging technique that currently provides useful information on the spinal cord parenchyma after trauma, is rapidly evolving. High-field scanners of up to 9.4 T are being clinically tested. The present postmortem investigation of an isolated spinal cord specimen demonstrates the precise correlation that can be achieved between imaging and pathology. In future investigations, this type of technique can lead to a more precise description of spinal cord injuries and their consequences in remote tissue. Translation into the clinical setting will improve diagnosis and follow-up of spinal cord injured patients.
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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) | 0.000 | 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 | 0.000 |
| 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".