E-004 Modeling the effect of hemodynamics on endothelial rna expression in cerebral aneurysms after endovascular flow diversion
Bibliographic record
Abstract
Introduction Flow diverting stents (FDS) are a valuable endovascular option to treat unruptured cerebral aneurysms, with a single endoluminal device in the parent vessel ultimately promoting thrombosis and occlusion of the aneurysm sac. Flow diversion has yielded promising long-term aneurysm occlusion data; however, retreatment is required in up to 8% by 2 years. Questions remain about the biologic responses behind treatment successes and failures. The goal of this study is to understand how changes in hemodynamic flow after FDS placement affect aneurysmal endothelial RNA expression associated with treatment success or failure. Methods An in vitro, patient-specific three-dimensional aneurysm model with pre- and post-FDS treatment conditions was created to quantify the endothelial response specific to hemodynamic changes within the aneurysm dome seen on computational flow dynamic (CFD) simulations. Each model was seeded with human carotid endothelial cells and then subjected to pulsatile flow with patient-specific mean blood flow velocity for 24 hours (Figure 1). RNA was isolated from aneurysm dome, along with proximal and distal parent vessels serving as internal controls for each patient. The same experiments are performed both before and after FDS placement using commercially available FDS (Pipeline Embolization Device). Results Six unique patients with intracranial internal carotid artery aneurysms treated with FDS were included, of which three had successful treatments with complete occlusion, while three had treatment failure with persistent aneurysm filling requiring retreatment. Experiments are currently ongoing, with four of six pre-treatment models completed endothelial cell seeding, exposure to flow, and RNA isolation. Post-treatment models with implanted FDS will then undergo the same experiment. We then will use the colocalized CFD and RNA expression data to identify patterns consistent with treatment outcomes. Bulk RNA sequencing will be completed on each sample. Conclusions Direct study of the vascular endothelial response to changes in hemodynamic stress experienced in cerebral aneurysms after FDS has not yet been performed. This study could address the knowledge gap regarding the mechanisms of treatment outcome and angiographic occlusion, to ultimately improve endovascular treatments of cerebral aneurysms. Disclosures G. Barros: None. E. Federico: None. P. Fillingham: None. J. Xue: None. N. Kaneko: None. Y. Zheng: None. M. Levitt: 1; C; Stryker, Medtronic. 2; C; Medtronic, Metis Innovative. 4; C; Synchron, Cerebrotech, Proprio, Hyperion Surgical.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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".