氧化铁纳米颗粒在磁共振成像中的应用
Iron Oxide Nanoparticles in the Application of Magnetic Resonance Imaging
目前临床诊断中钆基造影剂的应用十分广泛,然而其对人体的毒性无法忽视,因此研究者致力于低毒性造影剂的研发。氧化铁纳米颗粒(Iron Oxide Nanoparticles,IONP)因其超顺磁性在磁共振成像(Magnetic Resonance Imaging,MRI)中具有良好的暗对比效果,并且具有良好的生物相容性。随着生物材料和分子影像技术的发展,IONP在MRI成像中的应用愈发广泛。近年来,IONP在多模态成像和诊断治疗一体化方面取得了进展。本文将以IONP的MRI成像机理、制备和表面修饰为基础,阐述近年来IONP在MRI成像应用的研究成果和问题,期望IONP取得更好的发展。
The application of Gd-based contrast agent is widely broad for magnetic resonance imaging in clinic diagnosis. However, the toxicity of Gd-based contrast agent still cannot be ignored. Therefore, most researchers have made a great effort to find low toxic contrast agent. Iron oxide nanoparticles(IONP) have a great dark contrast effects in magnetic resonance imaging(MRI) due to their superparamagnetic properties, and they also have good biocompatibility. With the rapid development of biomaterials and molecular image technology, the application of IONP in MRI has become more and more broad. In recent years, IONP has made great progress in dual-modal imaging. What’s more, IONP is not only used to clinical diagnosis, but also in treatment. It offers some new strategies for the treatment of disease. Based on the magnetic resonance imaging mechanism and preparation, surface modification of IONP, this review elaborates the research progress of IONP in magnetic resonance imaging in recent years.
1 Introduction
2 Magnetic resonance imaging principle
3 Development of MRI contrast agent
4 Preparation and modification of IONP
5 Application of IONP in MRI
5.1 Application of IONP in brain MRI
5.2 Application of IONP in liver MRI
5.3 Application of IONP in vessel MRI
5.4 Application of IONP molecular probe in MRI
5.5 Application of IONP in multimodal imaging
5.6 Application of IONP intelligent probe in MRI
5.7 Application of IONP in diagnosis and treatment
6 Conclusion and outlook
氧化铁纳米颗粒 / 表面修饰 / 成像机理 / 磁共振成像应用
iron oxide nanoparticles(IONP) / surface modification / imaging mechanism / MRI application
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*国家自然科学基金项目(U1967215)
*国家自然科学基金项目(81671789)
*国家自然科学基金项目(11502158)
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