Abstract 147: Outcomes of the Stroke Thromboembolism Registry of Imaging and Pathology: A Multicenter International Study
Bibliographic record
Abstract
Background: We performed a multicenter prospective clinical registry across 11 centers to study the association between histopathological characteristics of retrieved clots and imaging, stroke etiology and clinical outcomes. Materials and Methods: Following IRB approval at the 11 centers, patients were enrolled in the STRIP registry. All retrieved emboli were sent for histopathological analysis with H&E and MSB staining. Demographic variables, comorbidities, stroke etiology, imaging findings and procedural details were collected for each case. We studied the association between clot histopathology and imaging findings, stroke etiology and and revascularization outcomes. Student’s t-test was used for continuous variables and chi-squared testing for categorical variables. Results: To date, 1022 patients have been included. There was a significant correlation between platelet rich clots and the absence of hyperdensity on non-contrast CT [p=0.321, p=0.003) and a significant inverse correlation between the percentage of platelets and mean HU on NCCT (p=-0.243, p=0.025). The proportion of platelet-rich clots (55.0% versus 21.2%, p=0.005) and the percentage of platelet content (22.1% versus 13.9%, p=0.03) was significantly higher in patient with large artery atherosclerosis compared to those with a cardioembolic etiology. There was no correlation between RBC density, WBC density, fibrin density or platelet density and revascularization outcomes with stent-retrievers. However, we have found that with aspiration alone, patients with platelet rich clots are less likely to be fully revascularized (i.e. TICI 2c/3) than non-platelet rich clots (OR=0.36, 95%CI=0.12-0.81, P<.0001). Meanwhile, patients with RBC rich clots are more likely to be completely revascularized with aspiration alone than those with RBC poor clots (OR=2.71, 95%CI=1.25-3.24, P=0.02). Conclusions: Interim analysis of the STRIP registry suggests that the platelet content of a clot may be the most revealing factor in determining a clot’s etiology, imaging features and revascularization outcome. Platelet rich clots are less dense on NCCT, are associated with a large artery atherosclerosis source and are less likely to be completely revascularized with aspiration alone.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".