4.8 Article

Near infrared-emitting persistent luminescent nanoparticles for Hepatocellular Carcinoma imaging and luminescence-guided surgery

期刊

BIOMATERIALS
卷 167, 期 -, 页码 216-225

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2018.01.031

关键词

Hepatocellular carcinoma; Persistent luminescent nanoparticles; Preoperative diagnosis; Luminescence-guided surgery

资金

  1. National Natural Science Foundation of China [81627805, 81601576, 81227901, 61231004, 81501540, 61671449, 81401471, 81527805]
  2. National Key Research and Development Program of China [2016YFC0106500, 2017YFA0205200, 2016YFA0201401, 2016YFC0102601]
  3. United Fund of National Natural Science Foundation of China and Government of Guangdong Province [U1401254]
  4. Science and Technology Plan Project of Guangdong Province [2016A020220013]
  5. Science and Technology Plan Project of Guangzhou [201604020144, 201704020141]

向作者/读者索取更多资源

Hepatocellular carcinoma (HCC), the fifth most common cancer worldwide, is increasing nowadays and poses a serious threat to human health. However, if treated effectively and timely, it is clinically manageable or curable. Therefore, accurate detection and complete surgical resection remain priorities for HCC with a high potential of improving both survival and quality of life. Lacking of real-time guide technology, traditional surgery are usually relied on the subjective experience of surgeon, which have the limitation of high sensitivity detection tumor. Here, we developed a contrast agent, ZnGa2O4Cr0.004 (ZGC), used for guided surgery during operation to accurate delineation of HCC. ZGC showed excellent long-lasting afterglow properties that lasted for hours, which can aid in real-time guided surgery. Meanwhile, ZGC display high spatial resolution and deep penetration during pre-operation for diagnostic computed tomography (CT). Interestingly, we observed reverse imaging in the tumor region, known as a dark hole, which further improves the contrast for surgery. This new multi-modality nanoparticle has great potential for accurate liver cancer imaging and resection guidance. (C) 2018 Published by Elsevier Ltd.

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