Abstract T MP23: M2 Vessel Diameter and Clot Length Influence Degree of Successful Recanalization Within 6 Hours Of Iv-tpa Treatment
Bibliographic record
Abstract
Introduction: Occlusions of the M2 branch show recanalization rates of 44% at 2 hours post treatment with IV-tPA when measured by TCD however no studies have looked at recanalization rates in early (<6h) time windows with angiography. Objectives: We aim to define recanalization rates for M2 occlusions with IV-tPA in an early time window (<6H) using CTA and explore the role of M2 size and clot length in predicting successful recanalization. Methods: patients with acute intracranial occlusions were prospectively enrolled into the InterrSect study and had a baseline CTA at time of inclusion and within 6 hours of receiving IV-tPA. Baseline CTA was analyzed on the OSIRIX platform; two experienced raters measured M2 diameter at the proximal clot interface and M1 diameter at mid-segment on axial MIP images. Two experienced raters independently analyzed clot length and recanalization on follow-up CTA (75/81) and first run angiograms (6/81). Clot length was stratified as (long>15mm) or (short0.8) or (Low <= 0.8). Results: 81 patients with M2 occlusions treated with IV-tPA were included in the study. Successful recanalization was achieved in 63.5% of patients with IV-tPA within 4-6 hours of bolus. Figure1 demonstrates a significant relationship between clot lengths, ratio M2/M1 to early recanalization (Fishers exact p= 0.035). Using general linear modelling, the rate of early recanalization is 1.9 times (p= 0.018, 95%CI 1.12-3.37) higher in the Short clot-Low M2/M1 ratio group when compared to the group with long clot and high ratio after adjusting for age. Conclusion: Small M2 clots treated with IV-tPA achieve early recanalization exceeding 80%; large M2 clots in comparison achieve recanalization rates below 50%. The later clots could be included in clinical trials comparing IV with endovascular therapy.
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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".