E-090 Intraoperative MRI for endovascular coiling of intracranial aneurysms: a single center experience
Bibliographic record
Abstract
Intraoperative magnetic resonance imaging system (iMRIS) surgical theatre is a highly integrated operating room with an iMRI designed originally for brain tumor surgery. Its use in neurointerventional procedures, particularly in the setting of endovascular coiling of intracranial aneurysms, have not been discussed in the literature to date. We present our initial experience about the safety and feasibility of intraoperative MRI to assess post operative complications and provide baseline imaging post coiling of intracranial aneurysms. In our early experience, a total of 15 patients underwent intra-operative MRI with MRA to assess post coiling status of the intracranial aneurysm. The iMRI is an advantageous tool which can be integrated into neurointerventional workflow resulting in early post preprocedural feedback and potentially reduced post-operative hospital stay. Disclosures Y. Yan: None. J. Shankar: None. Z. Kaderali: None. T. Chowdhury: None.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".