左心室射出分数の報告変数と人工知能による再現性:マルチセンター分析

Yinghui Le¹, Jiali Zhou¹, Shuna Yang¹

¹Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.

The Canadian journal of cardiology

|February 12, 2026

まとめ

人工知能 (AI) は,心筋MRIにおける左心室射出分数 (LVEF) 評価の効率と再現性を大幅に改善します. 個々の多様性は存在しますが,AIはCMRの定量化を簡素化する貴重なツールです.

科学分野:

心臓病学心臓病学
メディカルイマージング (医学イメージング)
人工知能 (AI) とは,人工知能 (AI) のことです.

背景:

人工知能 (AI) は, Left Ventricular Ejection Fraction (LVEF) の評価のために,臨床実務でますます使用されています.
人工知能支援のLVEF評価の現実世界での多センター検証は極めて重要です.

研究の目的:

人工知能支援のLVEF評価の信頼性と再現性を評価する.
人工知能支援のLVEF評価を,多様な多センター環境で手作業方法と比較する.

主な方法:

354件の心筋MRI検査 (CMR) の遡及的多センター研究.
QMass 8.1.1.を用いた人工知能によるLVEF (R-LVEF) と手動による再評価 (M-LVEF) の比較
マニュアルモードとAIアシストモードの,オブザーバー間およびオブザーバー内再現性分析.

主要な成果:

R-LVEFとM-LVEFの間の良好から優れた一貫性 (ICC≥0.86),合意の限界は±5%を超えています.
AIによるアセスメントは,LVEFの計算時間を大幅に短縮しました.
マニュアル分析と比較して,AIアシストメソッドによる再現性が優れている (オブザーバー間でのICCが高く,オブザーバー内での再現性が高い).

結論:

AI支援のLVEF評価は,効率性と再現性において重要な利点を示しています.
個々の違いにもかかわらず,AIはCMRの定量化を促進する貴重なツールです.
AIは,LVEFの決定のための心臓MRIの臨床的有用性を高めます.

キーワード:

人工知能 (AI) は,人工知能 (AI) を利用する.心血管の磁気共鳴装置による心血管磁気共鳴装置による磁気共鳴装置左心室のエジェクション分数信頼性信頼性信頼性信頼性再現性再現性とは

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