影像学方法在慢性肾脏病骨折风险中的应用进展  

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

作　　者：马亚平 王琳 MA Ya-ping;WANG Lin(First School of Clinical Medicine,Gansu University of Chinese Medicine,Lanzhou 730000,China;Department of Radiology,The Affiliated Hospital of Gansu University of Chinese Medicine,Lanzhou730000,China)

机构地区：[1]甘肃中医药大学第一临床医学院,兰州730000 [2]甘肃中医药大学附属医院放射科,兰州730000

出　　处：《中国血液净化》2025年第4期292-295,共4页Chinese Journal of Blood Purification

基　　金：甘肃省科技计划资助(18JR2FA001)。

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。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.

关 键 词：慢性肾脏病 骨质疏松 骨折 影像学技术 人工智能 

分 类 号：R692[医药卫生—泌尿科学]