Atypical Neuromyelitis Optica Spectrum Disorder With Diffuse Cerebral Abnormalities: A Case Report
Bibliographic record
Abstract
The recent expansion of the radiological criteria and the use of a highly specific biomarker, anti-aquaporin 4-IgG (AQP4 IgG), has significantly improved the ability of clinicians to provide a timely and accurate diagnosis for neuromyelitis optica spectrum disorder (NMOSD), especially when faced with an abnormal disease presentation. Here, we report on the 5-year clinical experience of a 69-year-old right-handed African American woman who initially presented following symptoms suggestive of transient global amnesia. Her clinical history was only remarkable for a single episode of visual decline with poor recovery experienced 35 years prior, with prior unrevealing serological investigations. Brain MRI features were significant for diffuse, bilateral white matter abnormalities throughout the supratentorial, deep gray matter, and infratentorial regions. Spinal cord imaging studies were within normal limits with no intramedullary high-signal abnormalities identified. Serological studies were significant for the presence of anti-aquaporin 4-IgG. The clinical features were supportive of the diagnosis of NMOSD. The data provided here highlight both the clinical and radiological heterogeneity of NMOSD.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| 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".