摘要
肿瘤微环境缺氧是导致实体肿瘤快速进展和不良预后的关键因素。因此,准确评估肿瘤缺氧对于指导治疗决策、预测治疗效果和开发针对性治疗干预措施具有重要意义。血氧水平依赖磁共振成像(blood oxygen level dependent magnetic resonance imaging,BOLD-MRI)通过定量有效横向弛豫时间(T2*)和有效横向弛豫率(R2*)评估组织中的脱氧血红蛋白含量,从而间接反映肿瘤的氧合状态,是评价肿瘤缺氧的MRI功能成像方法之一,在无创全面评估肿瘤氧合状态及监测其动态变化方面具有优势。近年来,随着定量BOLD-MRI(quantitative BOLD-MRI,qBOLD-MRI)技术的兴起,对组织氧合评估实现了从间接到直接的技术跨越,能够更精准地捕捉肿瘤的氧代谢相关信息,进一步拓展了BOLD-MRI的应用前景。本文全面综述BOLD-MRI及qBOLD-MRI定量评估肿瘤缺氧的研究进展,探讨和展望其研究前景和未来的发展方向,旨在为肿瘤个体化治疗策略的制订提供依据。
Hypoxia is a critical feature of most solid tumors,which induces aggressive and therapy-resistant tumor phenotypes,leading to rapid tumor progression and poor prognosis.Therefore,accurate assessment of tumor hypoxia holds significant importance for guiding treatment decisions,predicting therapeutic outcomes,and developing targeted therapeutic interventions.Blood oxygen level-dependent magnetic resonance imaging(BOLD-MRI)evaluates deoxyhemoglobin content in tissues by quantifying the effective transverse relaxation time(T2*)and effective transverse relaxation rate(R2*),thereby indirectly reflecting tumor oxygenation status.As one of the MRI functional imaging methods for assessing tumor hypoxia,it offers advantages in non-invasive comprehensive assessment of tumor oxygenation and monitoring its dynamic changes.In recent years,the emergence of quantitative BOLD-MRI(qBOLD-MRI)technology has achieved a technological leap from indirect to direct evaluation of tissue oxygenation,enabling more precise capture of tumor oxygen metabolism-related information and further expanding the application prospects of BOLD-MRI.This article comprehensively reviews research advances in quantitative assessment of tumor hypoxia by BOLD-MRI and qBOLD-MRI,explores research prospects and future directions,and aims to provide evidence for developing personalized tumor treatment strategies.
作者
牟亚男
张静
庞雅萱
孙诗画
殷亮
MOU Yanan;ZHANG Jing;PANG Yaxuan;SUN Shihua;YIN Liang(The First Clinical Medical College of Lanzhou University,Lanzhou 730000,China;Department of Radiology,the First Hospital of Lanzhou University,Lanzhou 730000,China)
出处
《磁共振成像》
北大核心
2025年第7期215-220,226,共7页
Chinese Journal of Magnetic Resonance Imaging
基金
甘肃省自然科学基金项目(编号:21JR1RA086)
兰州大学教学骨干培育项目(编号:lzuyxcx-2022-218)。
关键词
磁共振成像
血氧水平依赖磁共振成像
定量评估
肿瘤
缺氧
人工智能
magnetic resonance imaging
blood oxygen level dependent magnetic resonance imaging
quantitative assessment
neoplasms
hypoxia
artificial intelligence
