Optical coherence tomography represents a sensitive and reliable tool for routine monitoring of idiopathic intracranial hypertension with and without papilledema
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: We previously reported that certain optical coherence tomography (OCT) measures were sensitive and reliable in identifying idiopathic intracranial hypertension (IIH). This prospective study aimed to define OCT measures that allow differentiation of IIH with and without papilledema, thereby helping clinical decision-making. METHODS: Eight patients with IIH with papilledema, nine without papilledema and 19 with other neurological diseases were included. OCT measures were obtained before lumbar puncture and within 2 h, 1, 3 and 6 months after lumbar puncture with cerebrospinal fluid (CSF) removal. RESULTS: All patients with papilledema had increased retinal nerve fiber layer (RNFL) thickness and elevated CSF pressure. All patients without papilledema had normal RNFL but elevated CSF pressure. After CSF removal, reduced RNFL thickness was registered in all eight patients with IIH with papilledema. No significant change in RNFL thickness after CSF removal was observed in IIH without papilledema or in patients with other neurological diseases, although reduced CSF pressure was documented. RNFL thickness tended to be normal in patients with IIH with papilledema at 3-6 months after CSF removal. All patients with IIH showed increased rim area and rim thickness, but reduced optic cup volume regardless of RNFL thickness or papilledema. CONCLUSIONS: Retinal nerve fiber layer thickness is sensitive for monitoring acute IIH and evaluating treatment effect. Increased rim area and rim thickness and decreased optic cup volume are reliable parameters that indicate persistently increased CSF pressure and risk of relapse. OCT measures are sensitive and reliable for diagnosing subtle IIH even in the absence of papilledema.
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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 | 0.001 | 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 | 0.000 |
| 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".