Literature DB >> 27219071

High-Performance Upconversion Nanoprobes for Multimodal MR Imaging of Acute Ischemic Stroke.

Jing Wang1, Hua Zhang1, Dalong Ni2, Wenpei Fan2, Jianxun Qu1, Yanyan Liu2, Yingying Jin1, Zhaowen Cui2, Tianyong Xu1, Yue Wu1, Wenbo Bu1,2,3, Zhenwei Yao1.   

Abstract

Multimodal magnetic resonance (MR) imaging, including MR angiography (MRA) and MR perfusion (MRP), plays a critical role in the diagnosis and surveillance of acute ischemic stroke. However, these techniques are hindered by the low T1 relaxivity, short circulation time, and high leakage rate from vessels of clinical Magnevist. To address these problems, nontoxic polyethylene glycol (PEG)ylated upconversion nanoprobes (PEG-UCNPs) are synthesized and first adopted for excellent MRA and MRP imaging, featuring high diagnostic sensitivity toward acute ischemic stroke in high-resolution imaging. The investigations show that the agent possesses superior advantages over clinical Magnevist, such as much higher relaxivity, longer circulation time, and lower leakage rate, which guarantee much better imaging efficiency. Remarkably, an extremely small dosage (5 mg Gd kg(-1) ) of PEG-UCNPs provides high-resolution MRA imaging with the vascular system delineated much clearer than the Magnevist with clinical dosage as high as 108 mg Gd kg(-1) . On the other hand, the long circulation time of PEG-UCNPs enables the surveillance of the progression of ischemic stroke using MRA or MRP. Once translated, these PEG-UCNPs are expected to be a promising candidate for substituting the clinical Magnevist in MRA and MRP, which will significantly lengthen the imaging time window and improve the overall diagnostic efficiency.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  MR angiography imaging; PEG-UCNP nanoparticles; acute ischemic stroke; medical imaging; multimodal MR imaging

Mesh:

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Year:  2016        PMID: 27219071     DOI: 10.1002/smll.201601144

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  6 in total

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6.  Long-Term Tri-Modal In Vivo Tracking of Engrafted Cartilage-Derived Stem/Progenitor Cells Based on Upconversion Nanoparticles.

Authors:  Chu-Hsin Chen; Na Tang; Ke Xue; Hui-Zhong Zhang; Ya-Hong Chen; Peng Xu; Kang Sun; Ke Tao; Kai Liu
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  6 in total

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