骨质疏松症患者隐匿性骨折的影像学识别方法综述
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中国人民武装警察部队海警总队医院

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Imaging Methods for Identifying Occult Fractures in Patients with Osteoporosis:A Review
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Hospital of the Marine Police Corps of the Chinese People''s Armed Police Force

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    目的 系统性综述骨质疏松症患者隐匿性骨折的影像学识别方法,评估不同影像学技术的诊断效能,为骨科临床实践提供影像学检查指导策略。 方法 检索 PubMed、中国知网、万方等数据库,收集 2020 年 1 月至 2024 年 12 月发表的隐匿性骨折相关文献,从影像学技术原理、诊断效能、临床应用等方面进行综合分析。 结果 在传统影像学方法中, X线( X-ray)平片对隐匿性骨折的诊断敏感性有限,计算机断层扫描( Computed Tomography, CT)检查具有更好的检出能力。磁共振成像( Magnetic Resonance Imaging, MRI)在隐匿性骨折诊断方面表现最佳,短时反转恢复( Short Tau Inversion Recovery,STIR)序列和脂肪抑制( Fat-Suppression, FS)序列能够敏感地检出早期骨髓水肿。核素骨扫描具有较高的诊断敏感性,单光子发射计算机断层扫描( Single-Photon Emission Computed Tomography, SPECT)/CT图像融合技术进一步提高了诊断特异性。定量 CT 和高分辨率外周定量 CT( High-Resolution Peripheral Quantitative Computed Tomography, HR-pQCT)技术能够评估骨微结构和骨强度。基于深度学习( Deep Learning, DL)的人工智能( Artificial Intelligence, AI)技术在骨折识别中展现出优异的诊断性能。多模态影像学联合诊断能显著提高诊断准确性。 结论 隐匿性骨折影像学诊断应采用分层策略, MRI 是最敏感的检查方法。多模态影像学联合诊断和 AI 辅助诊断代表了未来发展趋势。建议建立标准化检查流程,加强新技术的临床转化应用。

    Abstract:

    Objective To systematically review the imaging methods for identifying occult fractures in patients with osteoporosis, to assess the diagnostic efficacy of different imaging techniques, and to provide a guiding strategy for imaging examinations in orthopedic clinical practice. Methods PubMed, CNKI, Wanfang Database and other databases were searched to collect literature related to occult fractures published from January 2020 to December 2024, and these literature were comprehensively analyzed in terms of the principles of imaging technology, diagnostic efficacy, and clinical application. Results Among the conventional imaging methods, plain radiographs (X-ray) have limited sensitivity in the diagnosis of occult fractures, while computed tomography (CT) examination has better detection capability. Magnetic resonance imaging (MRI) has the best performance in the diagnosis of occult fractures, and short tau inversion recovery (STIR) and fat-suppression sequence (FSIR) are more sensitive in detecting early bone marrow edema. Nuclide bone scans have high diagnostic sensitivity, and single-photon emission computed tomography (SPECT)/CT image fusion can further improve diagnostic specificity. Quantitative CT and high-resolution peripheral quantitative computed tomography (HR-pQCT) techniques are capable of assessing bone microstructure and bone strength. Deep learning (DL)-based artificial intelligence (AI) has demonstrated excellent diagnostic performance in fracture identification. Multimodal imaging-based combined diagnosis can greatly improve diagnostic accuracy. Conclusion The imaging diagnosis of occult fractures should adopt a stratification strategy, and MRI is the most sensitive examination method. Multimodal imaging-based combined diagnosis and AI-assisted diagnosis represent the future development trend. It is recommended to establish a standardized examination process and strengthen the clinical translation and application of new technologies.

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陈凯.骨质疏松症患者隐匿性骨折的影像学识别方法综述[J].生物医学工程学进展,2025,(5):614-622

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  • 收稿日期:2025-07-24
  • 最后修改日期:2025-08-04
  • 录用日期:2025-08-05
  • 在线发布日期: 2025-11-24
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