计算机视觉在脊柱骨科中的应用:对基于成像的算法进行诊断,测量和外科规划的广泛审查
Nimra Akram1, Donia Karimaghaei2, Sirtaaj Mattoo1
1Orthopaedics and Trauma, Royal Berkshire NHS Foundation Trust, Reading, GBR.
Cureus
|January 6, 2026
概括
计算机视觉在分析脊髓图像以诊断和手术规划方面表现有前途. 然而,有限的外部验证和前性测试阻碍了其在整形外科的广泛临床采用.
科学领域:
- 整形外科手术 整形外科手术
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 计算机视觉 (CV) 越来越多地应用于脊髓成像 (X光,CT,MRI) 进行自动化解释.
- 脊椎的复杂性和高成像量需要算法辅助来诊断,手术规划和术后评估.
研究的目的:
- 为了绘制CV在脊柱骨科的当前应用.
- 在已发表的研究中描述临床任务,成像方法和计算方法.
主要方法:
- 系统的文献搜索 (Ovid MEDLINE,Embase,1995-2025年). 这是一个很好的方法.
- 包括使用自动/半自动 CV 技术进行脊柱成像的研究.
- 根据PRISMA-ScR指南进行数据提取.
主要成果:
- 20项研究符合标准;CT (45%) 和MRI (35%) 主导模式.
- 深度学习 (90%) 专注于细分 (60%) 和骨折检测 (25%).
- 报告了高技术性能 (Dice 0.86-0.97,AUC 0.91-0.95),但有限的外部验证 (20%) 和没有前性测试.
结论:
- CV在脊柱图像细分和骨折检测方面表现出强大的技术性能,特别是在CT/MRI.
- 临床翻译受到缺乏现实世界的验证和前性研究的阻碍.
- 未来的研究必须专注于多中心数据集和手术护理的临床整合.
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