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Two-way magnetic resonance tuning and enhanced subtraction imaging for non-invasive and quantitative biological imaging

Distance-dependent magnetic resonance tuning (MRET) technology enables the sensing and quantitative imaging of biological targets in vivo, with the advantage of deep tissue penetration and less interactions with the surroundings as compared to fluorescence-based Förster resonance energy transfer (FR...

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Detalles Bibliográficos
Autores principales: Wang, Zhongling, Xue, Xiangdong, Lu, Hongwei, He, Yixuan, Lu, Ziwei, Chen, Zhijie, Yuan, Ye, Tang, Na, Dreyer, Courtney A., Quigley, Lizabeth, Curro, Nicholas, Lam, Kit S., Walton, Jeffrey H., Lin, Tzu-yin, Louie, Angelique Y., Gilbert, Dustin A., Liu, Kai, Ferrara, Katherine W., Li, Yuanpei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307456/
https://www.ncbi.nlm.nih.gov/pubmed/32451501
http://dx.doi.org/10.1038/s41565-020-0678-5
Descripción
Sumario:Distance-dependent magnetic resonance tuning (MRET) technology enables the sensing and quantitative imaging of biological targets in vivo, with the advantage of deep tissue penetration and less interactions with the surroundings as compared to fluorescence-based Förster resonance energy transfer (FRET). However, applications of MRET technology in vivo are currently limited by the moderate contrast enhancement and stability of T(1)-based MRET probes. Here we report a new two-way magnetic resonance tuning (t-MRET) nanoprobe with dually activatable T(1) and T(2) magnetic resonance signals that is coupled with dual-contrast enhanced subtraction imaging (DESI). This integrated platform achieves substantially improved contrast enhancement with minimal background signal and can be used to quantitatively image molecular targets in tumours and to sensitively detect very small intracranial brain tumours in patient-derived xenograft models. The high tumour-to-normal tissue ratio offered by t-MRET in combination with DESI provides new opportunities for molecular diagnostics and image-guided biomedical applications.