A Case of Basilar Artery Occlusion Due to Tandem Lesion Treated with Thrombectomy and Vertebral Artery Stenting
Bibliographic record
Abstract
症例は，65歳男性．意識障害で発症より1時間30分で搬送された．National Institutes of Health Stroke Scale（NIHSS）36点，posterior circulation Alberta Stroke Program Early CT Score（pcASPECTS）8点であった．magnetic resonance angiography（MRA）にて脳底動脈閉塞を認めt-PA投与および血栓回収術を行い，再開通を得たが右椎骨動脈起始部に狭窄残存を認めた．内科的治療を開始しリハビリテーションを実施した．初回手術より5日後に意識レベル低下と右上下肢不全麻痺を認めた．血管撮影では椎骨動脈狭窄部の再閉塞を認めたため，緊急PTAを施行した．術後意識障害の改善を認め，翌日同部位に椎骨動脈ステントを留置した．tandem lesionを伴う後方循環病変に対するantegrade approach，およびretrograde approachの優位性ははっきりしない．後方循環においては，側副血行路が乏しいことがたびたびある．後方循環においてretrograde approachによる迅速な再開通および椎骨動脈ステントは，有用な治療オプションとなり得る．
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.015 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".