使用人工智能辅助的3维MRI/CT融合成像:一个案例报告
Koyo Koizumi1, Daisuke Ukeba1, Ken Nagahama1,2
1Department of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
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|January 23, 2026
概括
全内镜脊柱手术 (FESS) 在一名82岁的妇女身上有效治疗了邻隔细分病 (ASD). 人工智能辅助的3D成像增强了手术规划,导致长期缓解疼痛,并且没有症状复发.
科学领域:
- 神经外科 神经外科
- 脊柱外科手术 脊柱外科手术
- 医疗成像医学成像
背景情况:
- 邻侧细分病 (ASD) 是腰部融合手术后的潜在并发症.
- L3根基病可以引起显著的中部大腿疼痛.
- 以前的腰部减压和融合手术增加了ASD的风险.
研究的目的:
- 评估全内镜脊柱外科手术 (FESS) 治疗相邻细分病 (ASD) 的疗效.
- 评估人工智能辅助3D成像在ASD患者FESS手术前规划中的作用.
主要方法:
- 一个82岁的女性患者的案例研究,患有ASD的次要L3根系病变.
- 术前规划使用人工智能辅助的3D磁共振成像 (MRI) /计算机断层扫描 (CT) 融合图像.
- 使用FESS在局部麻醉下进行了有针对性的减压.
主要成果:
- 患者立即经历了手术后的疼痛缓解.
- 在3年的随访中,患者仍然无症状.
- 在随访期间没有观察到症状的复发.
结论:
- FESS是相邻细分病 (ASD) 的一个可行的治疗选择.
- 人工智能辅助的3DMRI/CT融合成像显著有助于FESS的详细外科规划.
- 这种综合方法提供了一种有效的策略来管理ASD并改善患者的治疗结果.
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