Precise visual distinction of brain glioma from normal tissues via targeted photoacoustic and fluorescence navigation

The vexing difficulty in distinguishing glioma from normal tissues is a major obstacle to prognosis. In an attempt to solve this problem, we used a joint strategy that combined targeted-cancer stem cells nanoparticles with precise photoacoustic and fluorescence navigation. We showed that traditional magnetic resonance imaging (MRI) did not represent the true morphology of tumors. Targeted nanoparticles specifically accumulated in the tumor area. Glioma was precisely revealed at the cellular level. Tumors could be non-invasively detected through the intact skull by fluorescence molecular imaging (FMI) and photoacoustic tomography (PAT). Moreover, PAT can be used to excise deep gliomas. Histological correlation confirmed that FMI imaging accurately delineated scattered tumor cells. The combination of optical PAT and FMI navigation fulfilled the promise of precise visual imaging in glioma detection and resection. This detection method was deeper and more intuitive than the current intraoperative pathology. (C) 2020 The Author(s). Published by Elsevier Inc.

区分胶质瘤与正常组织的困难是预后的主要障碍。为解决这一问题，我们采用了一种联合策略，即将靶向癌症干细胞的纳米粒子与精确的光声和荧光导航相结合。我们发现传统的磁共振成像（MRI）无法呈现肿瘤的真实形态。靶向纳米粒子特异性地聚集在肿瘤区域。在细胞水平上精确地显示出胶质瘤。通过荧光分子成像（FMI）和光声断层成像（PAT）可透过完整的颅骨无创地检测肿瘤。此外，PAT可用于切除深部胶质瘤。组织学相关性证实FMI成像能准确描绘出分散的肿瘤细胞。光学PAT和FMI导航的结合实现了在胶质瘤检测和切除中精确可视化成像的预期。这种检测方法比目前的术中病理更深入、更直观。（C）2020作者。由爱思唯尔公司出版。