The next generation HydroCoil: initial clinical experience with the HydroFill embolic coil
Bibliographic record
Abstract
BACKGROUND: Complete packing of intracranial aneurysms has demonstrated a significant decrease in aneurysm recurrence rates with increased volumetric filling. The HydroCoil Embolization System (HES) was developed to increase volumetric filling within the aneurysm sac to maintain long term occlusion. To further enhance ease of HES deployment, a new next generation embolic coil, the HydroFill coil, was developed. OBJECTIVE: To report the first clinical experience with the HydroFill coil, focusing on safety and effectiveness, with immediate and long term follow-up on cases performed at a single institution by a single operator. METHODS: Retrospective angiographic and clinical analysis was performed on a non-randomized single arm registry of the first consecutive 11 patients with 14 intracranial saccular aneurysms treated during a 9 month period. RESULTS: The immediate angiographic occlusion rate according to the Raymond scale was 100%. Overall packing density of all coils used was 13-135% (mean 64%). The immediate complication rate was 9% (1/11 patients), secondary to a parent vessel occlusion which resolved after intravenous administration of eptifibatide (Integrilin) without neurological sequelae. The angiographic/MR angiography follow-up period for this series was 13-30 months, with an overall complete occlusion rate of 86% (12/14 aneurysms). 2/14 aneurysms (14%) converted from complete occlusion to filling of small neck remnants. Of the two, one (7%) was a cavernous aneurysm that was retreated. CONCLUSIONS: Although this initial case series is small, this study demonstrates safe deployment of the HydroFill coil in ruptured and unruptured aneurysms without major complications, and with a high rate of occlusion on long term follow-up.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".