拉曼光谱技术在慢性肾脏病诊断中的应用进展  

Application Progress of Raman Spectroscopy in the Diagnosis of Chronic Kidney Disease

作　　者：陈思宇[1] 朱国强 陆晨 CHEN Siyu;ZHU Guoqiang;LU Chen(Department of Nephrology,the First Affiliated Hospital of Xinjiang Medical University,Urumqi 830054,China)

机构地区：[1]新疆医科大学第一附属医院肾脏内科,乌鲁木齐830054

出　　处：《医学综述》2025年第3期302-306,共5页Medical Recapitulate

基　　金：新疆维吾尔自治区重大科技专项项目(2022A03001);新疆维吾尔自治区区域协同创新专项(2023E01020);“天山英才”培养计划(2022TSYCLJ0022);中央引导地方科技发展专项(ZYYD2022C18)。

摘　　要：慢性肾脏病(CKD)是全球主要公共卫生问题之一,早期诊断CKD对控制病情进展至关重要。在生物医学领域,拉曼光谱技术结合机器学习可以分析光谱数据所代表的各种体液成分和组织,在辅助医疗诊断中具有显著优势。拉曼光谱在诊断CKD中具有应用潜力,但其诊断的准确性和临床适用性有待提高,同时需要不断优化算法,制订规范化的诊断策略。未来应开展针对CKD的大规模拉曼光谱筛查研究,以寻找更简单、更高效的CKD筛查方式,推动拉曼光谱在临床的广泛应用。Chronic kidney disease(CKD)is one of the major global public health issues,and early diagnosis is crucial for controlling the disease progression.In the biomedical field,Raman spectroscopy combined with machine learning can analyze various body fluid components and tissues represented by spectral data,which has significant advantages in assisting medical diagnosis.Raman spectroscopy has potential applications in the diagnosis of CKD,but its diagnostic accuracy and clinical applicability need to be improved.At the same time,it is necessary to continuously optimize algorithms and develop standardized diagnostic strategies.In the future,large-scale Raman spectroscopy screening research for CKD should be carried out to find simpler and more efficient ways to screen CKD and promote the widespread application of Raman spectroscopy in the clinical practice.

关 键 词：慢性肾脏病 拉曼光谱 IGA肾病 膜性肾病 糖尿病肾脏疾病 机器学习 

分 类 号：R692[医药卫生—泌尿科学]