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Brain Tumor Diagnostics and Therapeutics with Superparamagnetic Ferrite Nanoparticles

机译:超顺磁性铁氧体纳米颗粒对脑肿瘤的诊断和治疗

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摘要

Ferrite nanoparticles (F-NPs) can transform both cancer diagnostics and therapeutics. Superparamagnetic F-NPs exhibit high magnetic moment and susceptibility such that in presence of a static magnetic field transverse relaxation rate of water protons for MRI contrast is augmented to locate F-NPs (i.e., diagnostics) and exposed to an alternating magnetic field local temperature is increased to induce tissue necrosis (i.e., thermotherapy). F-NPs are modified by chemical synthesis of mixed spinel ferrites as well as their size, shape, and coating. Purposely designed drug-containing nanoparticles (D-NPs) can slowly deliver drugs (i.e., chemotherapy). Convection-enhanced delivery (CED) of D-NPs with MRI guidance improves glioblastoma multiforme (GBM) treatment. MRI monitors the location of chemotherapy when D-NPs and F-NPs are coadministered with CED. However superparamagnetic field gradients produced by F-NPs complicate MRI readouts (spatial distortions) and MRS (extensive line broadening). Since extracellular pH (pHe) is a cancer hallmark, pHe imaging is needed to screen cancer treatments. Biosensor imaging of redundant deviation in shifts (BIRDS) extrapolates pHe from paramagnetically shifted signals and the pHe accuracy remains unaffected by F-NPs. Hence effect of both chemotherapy and thermotherapy can be monitored (by BIRDS), whereas location of F-NPs is revealed (by MRI). Smarter tethering of nanoparticles and agents will impact GBM theranostics.
机译:铁氧体纳米颗粒(F-NPs)可以改变癌症的诊断和治疗方法。超顺磁性F-NPs具有很高的磁矩和磁化率,因此在存在静磁场的情况下,用于MRI对比的水质子的横向弛豫速率会增加,以定位F-NPs(即,诊断),并暴露于交变磁场中。增加以诱导组织坏死(即热疗)。 F-NP通过混合尖晶石铁氧体的化学合成及其尺寸,形状和涂层进行改性。专门设计的含药物纳米颗粒(D-NP)可以缓慢递送药物(即化学疗法)。 MRI指导下的D-NP对流增强递送(CED)改善了多形性胶质母细胞瘤(GBM)的治疗。当D-NP和F-NP与CED并用时,MRI监测化学疗法的位置。但是,由F-NP产生的超顺磁场梯度会使MRI读数(空间畸变)和MRS(扩展线展宽)变得复杂。由于细胞外pH(pHe)是癌症的标志,因此需要pHe成像来筛选癌症治疗方法。生物传感器成像中的位移冗余偏差(BIRDS)从顺磁位移信号推断pHe,并且pHe精度不受F-NP的影响。因此,可以通过BIRDS监测化学疗法和热疗的效果,而通过MRI显示F-NP的位置。纳米颗粒和试剂的更智能的束缚将影响GBM理论。

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