Tashkandi Jurie, Brkljača Robert, Alt Karen
Australian Centre for Blood Diseases, Central Clinical School, Monash University Australia
Monash Biomedical Imaging, Monash University Australia.
Nanoscale Adv. 2023 Aug 18;5(18):4873-4880. doi: 10.1039/d3na00260h. eCollection 2023 Sep 12.
The strengths of Magnetic Particle Imaging (MPI) lay in its sensitivity, quantitative nature, and lack of signal attenuation for Superparamagnetic Iron Oxide Nanoparticles (SPION). These advantages make MPI a powerful tool for the non-invasive monitoring of tracer behaviour over time. With more MPI studies emerging, a standardized method for determining the boundaries of a region of interest (ROI) and iron quantification is crucial. The current approaches are inconsistent, making it challenging to compare studies, hindering MPI progression. Here we showcase three different ROI selection methods for the quantification of iron and . Healthy mice were intravenously administered a long circulating tracer, never before applied in MPI, and the ROI methods were tested for their ability to accurately quantify the total signal present, in addition to the accumulation of the tracer in individual organs. We discuss how the quantified iron amount can be vastly altered based on the choice of ROI, the importance of the standard curve and the challenges associated with each method. Lastly, the user variability and accuracy of each method was compared by 3 independent users to ensure their consistency and lack of bias.
磁粒子成像（MPI）的优势在于其灵敏度、定量特性以及对超顺磁性氧化铁纳米颗粒（SPION）无信号衰减。这些优势使MPI成为随时间对示踪剂行为进行无创监测的有力工具。随着越来越多的MPI研究出现，确定感兴趣区域（ROI）边界和铁定量的标准化方法至关重要。当前的方法不一致，使得研究之间难以比较，阻碍了MPI的发展。在此，我们展示三种不同的用于铁定量的ROI选择方法。对健康小鼠静脉注射一种长效循环示踪剂，该示踪剂此前从未用于MPI，除了测试ROI方法准确量化存在的总信号的能力外，还测试其对示踪剂在各个器官中积累情况的量化能力。我们讨论了基于ROI的选择，定量铁含量如何会有很大变化、标准曲线的重要性以及每种方法相关的挑战。最后，由3名独立用户比较每种方法的用户变异性和准确性，以确保其一致性和无偏差。
