E-193 Endovascular treatment for idiopathic intracranial hypertension. A single center series
Bibliographic record
Abstract
Introduction Idiopathic intracranial hypertension (IIH) is a disease which has a significant impact on patients’ quality of life and if untreated, can lead to vision loss. To date, there is no consensus on the best treatment strategy for IIH. The cause of IIH is unknown but the presence of venous sinus stenosis (VSS) can contribute to the disease development or worsening. Recently, endovascular treatment with Venous Sinus Stenting (VSSt) for IIH has been used with success. Materials and Methods We included all patients with clinical diagnosis of IIH treated in our center with VSSt from January 2020 to December 2021. Patient diagnosis was confirmed with lumbar puncture and they were followed with regular neuro-ophthalmological evaluation. Results We included thirty-four patients that underwent endovascular venous stenting for the treatment of IIH. The median age of patients was 34 ± 9.4 years and all patients were females. The indication for VSSt treatment was the failure of other surgical and medical treatment in the 20.6% of cases, the failure of medical treatment in 47.1% of cases and symptoms significantly affecting patient’s quality of life in 32.3% of cases. In 61.8% of cases there was a unilateral stenosis requiring a single-side procedure, whereas in 38.2% of cases were treated with a bilateral stenting. No patients required a second treatment with stenting in this series. Symptoms improved in 64.7% of patients. The 14.7% patients required an additional surgical procedure. All procedures were successful without intraoperative complications. In only one case (2.9%) an acute postoperative venous infarction was detected 24 hours after the procedure. No permanent morbidity or mortality was recorded. Conclusion Venous sinus stenting is a safe and effective treatment for IIH that may provide substantial clinical improvement, particularly when other surgical and medical treatments had fail. Disclosures A. Rustici: None. N. Cancelliere: None. I. Vanek: None. T. Marotta: None. J. Spears: None. V. Mendes Pereira: None.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".