MRI Findings of Oculomotor Nerve Palsy in Mild Traumatic Brain Injury: Case Report and Review of the Literature
Bibliographic record
Abstract
Isolated traumatic oculomotor nerve palsy associated with mild traumatic brain injury (TBI) is rarely reported in literature and has not been associated with magnetic resonance imaging (MRI) findings until this case report. We report the case of a 55-year-old man with complete left side traumatic oculomotor nerve palsy, 7 mm non-reactive dilated pupil, and ptosis after a helmeted bicycle accident. Mild sulcal subarachnoid hemorrhage was seen on computed tomography (CT) at presentation. MRI during hospitalization showed contrast enhancement of the cisternal segment of the left oculomotor nerve, near the rootlets as it exits the brainstem. He was followed for 18 months with near resolution of oculomotor nerve palsy, but persisting enhancing lesion on MRI at the third nerve outlet from the brainstem, suggestive of partial avulsion. Isolated oculomotor nerve palsy after mild TBI is extremely rare. After review of the literature, we are the first to show radiographic evidence of injury to the oculomotor nerve in a patient with mild TBI . MRI studies may be helpful in a patient with isolated oculomotor nerve palsy to identify the type of injury to the nerve, to rule out underlying pathology concurrent with the TBI , and may also indicate prognosis for recovery. doi: http://dx.doi.org/10.4021/jnr233w
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".