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Updated: Jan 19, 2026

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery
Published on: September 19, 2014
Hierarchically Nanostructured Hybrid Platform for Tumor Delineation and Image-Guided Surgery via NIR-II Fluorescence
Qing Zhang1,2, Huijun Zhou1,3, Hao Chen1
1Molecular Imaging Program at Stanford (MIPS), Canary Center at Stanford for Cancer Early Detection, Department of Radiology and Bio-X Program, School of Medicine, Stanford University, Stanford, CA, 94305-5484, USA.
Abstract:
Bimodal imaging with fluorescence in the second near infrared window (NIR-II) and positron emission tomography (PET) has important significance for tumor diagnosis and management because of complementary advantages. It remains challenging to develop NIR-II/PET bimodal probes with high fluorescent brightness. Herein, bioinspired nanomaterials (melanin dot, mesoporous silica nanoparticle, and supported lipid bilayer), NIR-II dye CH-4T, and PET radionuclide 64 Cu are integrated into a hybrid NIR-II/PET bimodal nanoprobe. The resultant nanoprobe exhibits attractive properties such as highly uniform tunable size, effective payload encapsulation, high stability, dispersibility, and biocompatibility. Interestingly, the incorporation of CH-4T into the nanoparticle leads to 4.27-fold fluorescence enhancement, resulting in brighter NIR-II imaging for phantoms in vitro and in situ. Benefiting from the fluorescence enhancement, NIR-II imaging with the nanoprobe is carried out to precisely delineate and resect tumors. Additionally, the nanoprobe is successfully applied in tumor PET imaging, showing the accumulation of the nanoprobe in a tumor with a clear contrast from 2 to 24 h postinjection. Overall, this hierarchically nanostructured platform is able to dramatically enhance fluorescent brightness of NIR-II dye, detect tumors with NIR-II/PET imaging, and guide intraoperative resection. The NIR-II/PET bimodal nanoprobe has high potential for sensitive preoperative tumor diagnosis and precise intraoperative image-guided surgery.

