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纳米粒子介导的放射性药物激发荧光分子成像可实现精确的图像引导肿瘤切除手术。

Nanoparticle-mediated radiopharmaceutical-excited fluorescence molecular imaging allows precise image-guided tumor-removal surgery.

机构信息

Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China; The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

出版信息

Nanomedicine. 2017 May;13(4):1323-1331. doi: 10.1016/j.nano.2017.01.005. Epub 2017 Jan 20.

Abstract

Fluorescent molecular imaging technique has been actively explored for optical image-guided cancer surgery in pre-clinical and clinical research and has attracted many attentions. However, the efficacy of the fluorescent image-guided cancer surgery can be compromised by the low signal-to-noise ratio caused by the external light excitation. This study presents a novel nanoparticle-mediated radiopharmaceutical-excited fluorescent (REF) image-guided cancer surgery strategy, which employs the internal dual-excitation of europium oxide nanoparticles through both gamma rays and Cerenkov luminescence emitted from radiopharmaceuticals. The performance of the novel image-guided surgery technique was systematically evaluated using subcutaneous breast cancer 4 T1 tumor models, orthotropic and orthotropic-ectopic hepatocellular carcinoma tumor-bearing mice. The results reveal that the novel REF image-guided cancer surgery technique exhibits high performance of detecting invisible ultra-small size tumor (even less than 1 mm) and residual tumor tissue. Our study demonstrates the high potential of the novel image-guided cancer surgery for precise tumor resection.

摘要

荧光分子成像技术在临床前和临床研究中被积极探索用于光学图像引导的癌症手术,并引起了广泛关注。然而,由于外部光激发引起的低信噪比,荧光图像引导的癌症手术的效果可能会受到影响。本研究提出了一种新型的纳米颗粒介导的放射性药物激发荧光(REF)图像引导癌症手术策略,该策略通过放射性药物发射的伽马射线和切伦科夫光对内氧化铕纳米颗粒进行内部双激发。使用皮下乳腺癌 4T1 肿瘤模型、原位和异位肝癌荷瘤小鼠系统评估了新型图像引导手术技术的性能。结果表明,新型 REF 图像引导癌症手术技术在检测不可见的超小肿瘤(甚至小于 1 毫米)和残留肿瘤组织方面表现出优异的性能。我们的研究表明,新型图像引导癌症手术具有精确切除肿瘤的巨大潜力。

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