Guzy Julia, Chakravarty Shatadru, Buchanan Foster J, Chen Haoran, Gaudet Jeffrey M, Hix Jeremy M L, Mallett Christiane L, Shapiro Erik M
Department of Radiology and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
ACS Appl Nano Mater. 2020 May 22;3(5):3991-3999. doi: 10.1021/acsanm.0c00779. Epub 2020 Apr 23.
Magnetic particle imaging (MPI), using superparamagnetic nanoparticles as an imaging tracer, is touted as a quantitative biomedical imaging technology, but MPI signal properties have never been characterized for magnetic nanoparticles undergoing biodegradation. We show that MPI signal properties can increase or decrease as iron oxide nanoparticles degrade, depending on the nanoparticle formulation and nanocrystal size, and degradation rate and mechanism. Further, we show that long-term in vitro MPI experiments only roughly approximate long-term in vivo MPI signal properties. Further, we demonstrate for the first time, an environmentally sensitive MPI contrast mechanism opening the door to smart contrast paradigms in MPI.
磁粒子成像(MPI)利用超顺磁性纳米颗粒作为成像示踪剂,被誉为一种定量生物医学成像技术,但对于正在经历生物降解的磁性纳米颗粒,MPI信号特性从未得到过表征。我们发现,随着氧化铁纳米颗粒的降解,MPI信号特性可能会增加或减少,这取决于纳米颗粒的配方、纳米晶体尺寸、降解速率和机制。此外,我们还表明,长期体外MPI实验只能大致模拟长期体内MPI信号特性。此外,我们首次证明了一种对环境敏感的MPI对比机制,为MPI中的智能对比模式打开了大门。