A case of delayed white matter lesion after endovascular recanalization for intracranial artery occlusion
Bibliographic record
Abstract
60 歳，女性．失語症および右半身麻痺が出現し，近医より脳梗塞の診断にて当院紹介となった．当院搬入時 NIHSS スコア 30 点．前医撮影の頭部 magnetic resonance angiography（MRA）にて左内頸動脈が閉塞しており，MRI の DWI にて左基底核および左放線冠に高信号病変を認めた．Alberta stroke programme early CT score（ASPECT）-DWI 7 点．rt-PA 静注療法および血管内治療により再開通が得られ，治療 18 日後に mRS 1 にて自宅退院となった．治療 1 カ月後に右半身の違和感を自覚し当院を再受診した．頭部 MRI の DWI および fluid attenuated inversion recovery（FLAIR）にて治療側の左大脳白質に新たな高信号病変を認めた．症状の悪化がないため経過観察をしたところ，一部病変は残存したが，半年後には白質病変の改善傾向を認めた．急性期再開通療法後に遅発性白質病変が出現した症例の報告は非常に少ない．原因として遅発性低酸素白質脳症および親水性コーティングによる肉芽腫性病変が指摘されているが，原因の解明には症例の蓄積が必要である．
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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) | 0.001 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.011 | 0.007 |
| 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".