中国血液净化

中国血液净化 ›› 2025, Vol. 24 ›› Issue (04): 292-295.doi: 10.3969/j.issn.1671-4091.2025.04.007

• 综述 • 上一篇    下一篇

影像学方法在慢性肾脏病骨折风险中的应用进展

马亚平   王 琳   

  1. 730000 兰州，1甘肃中医药大学第一临床医学院
    730000 兰州，2甘肃中医药大学附属医院放射科
  • 收稿日期:2024-10-10 修回日期:2024-11-16 出版日期:2025-04-12 发布日期:2025-04-12
  • 通讯作者: 王琳 E-mail:836362298@qq.com
  • 基金资助:
    甘肃省科技计划资助(18JR2FA001)

Progress in the application of imaging method for fracture risk in chronic kidney disease patients

MA Ya-ping   WANG Lin   

  1. MA Ya-ping, WANG Lin
  • Received:2024-10-10 Revised:2024-11-16 Online:2025-04-12 Published:2025-04-12
  • Contact: 730000 兰州，2甘肃中医药大学附属医院放射科 E-mail:836362298@qq.com

摘要： 慢性肾脏病(chronic kidney disease，CKD)常引起不同程度的矿物质代谢紊乱，骨代谢异常，继发骨质疏松症。骨质疏松症其特征是骨量流失、骨强度降低，导致骨折风险增加。CKD患者骨折风险高于非慢性肾病群体。目前，影像检查技术可无创性评估CKD患者骨折风险，为临床管理CKD骨骼异常提供指导，及早进行药物干预，减少骨折的发生，提高生命质量。本研究从不同成像技术及人工智能对CKD患者骨折风险的应用方面进行综述。

关键词: 慢性肾脏病, 骨质疏松, 骨折, 影像学技术, 人工智能

Abstract: Chronic kidney disease (CKD) is often complicated with different degrees of mineral metabolism disorders, including bone metabolism abnormalities and secondary osteoporosis. Osteoporosis is characterized by loss of bone mass and lower bone strength, leading to the increase of fracture risk. The fracture risk is higher in CKD patients than in non-CKD patients. Imaging technique is currently a noninvasive method to assess the fracture risk, and provides a guidance for clinical management of skeletal abnormalities and early drug intervention to reduce the fracture risk and improve the quality of life in CKD patients. This article summarizes different imaging techniques and artificial intelligence applied in the fracture risk in CKD patients.

Key words: Chronic kidney diseases, Osteoporosis, Fracture, Imaging technique, Artificial Intelligence

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