摘要
肾小球滤过率(glomerular filtration rate,GFR)作为评估肾脏功能的关键指标,对其精准评估在肾脏疾病的诊疗中至关重要。SPECT/CT肾动态显像的经典Gates法和双血浆法虽能提供总GFR和分肾功能数据,但在特殊人群的应用中存在一定局限性。本研究系统分析了经典计算方法的不足之处,探讨放射性示踪技术在实现个体化GFR定量计算中的独特优势,同时提出人工智能(artificial intelligence,AI)多模态数据融合模型在提升GFR计算精度方面的巨大潜力。这些新方法在提升GFR测量精度、优化个体化评估以及扩展临床应用范围等方面展现出了极大优势,为肾脏疾病的精准诊疗提供了更可靠的定量依据,有望推动GFR计算进入精准化、个性化的新时代。
The glomerular filtration rate(GFR)serves as a critical biomarker for evaluating renal function,with its accurate measurement being essential for the diagnosis and treatment of kidney diseases.While conventional methods including the Gates technique and dual-plasma sampling can provide both total GFR and split renal function data,and their application in special populations demonstrates significant limitations.This study systematically analyzes the limitations of traditional approaches,with particular focus on the unique advantages of modern imaging technologies in achieving individualized GFR quantification.Moreover,it emphasizes the considerable potential of artificial intelligence(AI)-based multimodal data fusion models for improving the accuracy of GFR calculations.These innovative methodologies show substantial promise in enhancing measurement precision,optimizing personalized assessment,and broadening clinical applications.By establishing more reliable quantitative benchmarks,they are advancing GFR calculation into a new era of precision medicine and personalized care,thereby supporting evidence-based clinical decision in nephrology.
作者
张振威
张煜星
施常备
郑向红
狄佳
ZHANG Zhenwei;ZHANG Yuxing;SHI Changbei;ZHENG Xianghong;DI Jia(Xijing University,Shaanxi Xi'an 710123,China;Department of Nuclear Medicine,Shaanxi Provincial Cancer Hospital,Shaanxi Xi'an 710061,China;Department of Nuclear Medicine,the Second Affiliated Hospital of Xi'an Jiaotong University,Shaanxi Xi'an 710004,China)
出处
《现代肿瘤医学》
2026年第3期437-444,共8页
Journal of Modern Oncology
基金
科技部国家重点研发计划项目(编号:2023YFC3306102)
陕西省自然科学基础研究计划面上项目(编号:2025JC-YBMS-869)
中国博士后科学基金第71批面上项目(编号:2022M712556)。
关键词
肾小球滤过率
肾动态显像
计算方法
人工智能
精准医疗
glomerular filtration rate
renal dynamic imaging
calculation method
artificial intelligence
precision medicine
