基于变压器的多式融合框架用于预测质瘤的术后认知改善:整合放射学和病理学
Yang Yang1, Jingjing Wu2, Jingyou Li1
1Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui Province, P. R. China.
International journal of surgery (London, England)
|December 17, 2025
概括
这项研究引入了一个基于变压器的模型,通过结合MRI放射学和组织病理学病理学来预测质瘤患者的认知结果. 与传统方法相比,新型多式联运方法显著提高了预测准确度.
科学领域:
- 神经瘤学神经瘤学
- 医疗成像医学成像
- 计算病理学计算病理学
背景情况:
- 预测质瘤患者的术后认知功能障碍对于康复至关重要.
- 目前的预测方法缺乏准确性和个性化.
研究的目的:
- 开发和验证基于变压器的多式联接融合框架.
- 整合手术前的MRI放射学和全幻灯片组织病理学病理学.
- 启用个性化预测质瘤手术后的认知结果.
主要方法:
- 追溯多中心研究,包括189名质瘤患者.
- 新型变压器模型用于融合2.5D放射性和病态特征.
- 使用AUC,决策曲线分析和Grad-CAM的性能评估.
主要成果:
- 拟议模型的AUC为0.973 (培训),0.860 (验证) 和0.829 (独立测试).
- 显著优于单模 (放射学/病理学) 和组合方法.
- 通过决策曲线分析证明了高特异性和临床实用性.
结论:
- 基于变压器的多式融合对于预测质瘤患者的术后认知改善是有效的.
- 超过传统的预测方法.
- 有希望的概念验证优化康复和提高功能独立性.
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