P-008 Pulsatile tinnitus and subclinical idiopathic intracranial hypertension. An evaluation on MRI signs
Bibliographic record
Abstract
Purpose To investigate the prevalence of intracranial and ophthalmological signs of Intracranial Hypertension (IH) on MRI in patients with Pulsatile Tinnitus (PT). Materials and Methods We included all patients assessed with PT in our center. We included in the study all patients with PT who underwent MRI between January 2020 and December 2021. Both treated and untreated patients were considered and, in the case of treatment only pre-treatment MRIs were evaluated. We evaluated imaging and undiagnosed ophthalmological signs of intracranial hypertension. Exclusion criteria included non-pulsatile tinnitus and primary diagnosis of IIH or venous thrombosis. Results We included four-hundred-fifteen patients in our study. MRI imaging was evaluated for IIH signs and we also included neuroophthalmological assessment if present. Our preliminary results on 20% of the patients demonstrate a high prevalence of both intracranial and ocular MRI signs of IIH in patients with isolated PT. Our analysis from MRI imaging of patients with PT as primary diagnosis showed: 38.5% of patients presented with a partial empty sella, 38.5% of caudal ectopy of cerebellar tonsils into foramen magnum, 36.9% of slit-like appearance of the lateral ventricles and 32.3% a bilateral Meckel’s cave enlargement. There were 64.6% of patients who presented with bilateral Optic Nerve Sheath Distension, 49.2% presented with bilateral Optic Nerve vertical Tortuosity and posterior globe flattening, while 40% presented Optic Nerve Head protrusion. Conclusion This study demonstrates a high prevalence of IIH signs in patients presenting with PT, suggesting the possibility of initial signs of intracranial hypertension probably related to venous outflow impairment. A neuro-ophthalmological assessment could be considered for this subgroup of PT patients with signs of IH. Disclosures A. Rustici: None. N. Cancelliere: None. I. Vanek: None. T. Marotta: None. J. Spears: None. V. Mendes Pereira: None.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.005 | 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".