低用量一次脳卒中センターにおける機械的血栓回収術転院判断支援のための人工知能ベースソフトウェア：多施設共同後ろ向き研究
Marcin Wiącek1,2, Katarzyna Koszarska3, Aleksandra Kotlińska3
1Department of Neurology, Faculty of Medicine, University of Rzeszow, Poland. mawiacek@ur.edu.pl.
Neurologia i neurochirurgia polska
|January 22, 2026
まとめ
人工知能（AI）ソフトウェアは、一次脳卒中センター（PSC）からの急性虚血性脳卒中（AIS）患者に対する機械的血栓回収術（MT）の転院決定を改善しました。AIは効率と精度を高め、時間的制約のある脳卒中ケアの遅延を削減する可能性がありました。
科学分野:
- 神経学
- 医用画像
- 人工知能
背景:
- 一次脳卒中センター（PSC）は、急性虚血性脳卒中（AIS）における機械的血栓回収術（MT）の決定に必要な高度な画像処理や専門知識を欠いていることが多い。
- MT適格患者に対する効率的な病院間転院システムは、PSCで初期治療を受けた患者にとって極めて重要である。
- 低用量PSC設定におけるAIツールのパフォーマンスに関するデータは限られている。
主な方法:
- 低用量PSCからMTのために転院した109人のAIS患者の多施設共同後ろ向き分析。
- LVO、虚血性変化、および側副血行路の脳損傷評価のためのBrainomix 360ソフトウェアを用いた標準画像の後ろ向き評価。
- ブラインドされた神経内科医によるシミュレートされた転院決定、および包括的脳卒中センター（CSC）コホートとのAI支援ワークフロー時間の比較。
結論:
- AI支援画像は、特にリアルタイム解釈なしで、低用量PSCにおける転院決定とワークフロー効率を大幅に改善する。
- AIはMT適格性評価を強化し、地域脳卒中ネットワークを強化する。
- より広範なAI導入は、急性虚血性脳卒中治療のための患者経路を最適化できる。
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