CT/FMT dual-model imaging of breast cancer based on peptide-lipid nanoparticles

Guoqiang Xu; Qiaoya Lin; Lichao Lian; Yuan Qian; Lisen Lu; Zhihong Zhang

doi:10.1117/12.2214270

15 March 2016 CT/FMT dual-model imaging of breast cancer based on peptide-lipid nanoparticles

Guoqiang Xu, Qiaoya Lin, Lichao Lian, Yuan Qian, Lisen Lu, Zhihong Zhang

Proceedings Volume 9709, Biophotonics and Immune Responses XI; 97090S (2016) https://doi.org/10.1117/12.2214270
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

Breast cancer is one of the most harmful cancers in human. Its early diagnosis is expected to improve the patients’ survival rate. X-ray computed tomography (CT) has been widely used in tumor detection for obtaining three-dimentional information. Fluorescence Molecular Tomography (FMT) imaging combined with near-infrared fluorescent dyes provides a powerful tool for the acquisition of molecular biodistribution information in deep tissues. Thus, the combination of CT and FMT imaging modalities allows us to better differentiate diseased tissues from normal tissues. Here we developed a tumor-targeting nanoparticle for dual-modality imaging based on a biocompatible HDL-mimicking peptide-phospholipid scaffold (HPPS) nanocarrier. By incorporation of CT contrast agents (iodinated oil) and far-infrared fluorescent dyes (DiR-BOA) into the hydrophobic core of HPPS, we obtained the FMT and CT signals simultaneously. Increased accumulation of the nanoparticles in the tumor lesions was achieved through the effect of the tumor-targeting peptide on the surface of nanoparticle. It resulted in excellent contrast between lesions and normal tissues. Together, the abilities to sensitively separate the lesions from adjacent normal tissues with the aid of a FMT/CT dual-model imaging approach make the targeting nanoparticles a useful tool for the diagnostics of breast cancer.

Citation Download Citation

Guoqiang Xu, Qiaoya Lin, Lichao Lian, Yuan Qian, Lisen Lu, and Zhihong Zhang "CT/FMT dual-model imaging of breast cancer based on peptide-lipid nanoparticles", Proc. SPIE 9709, Biophotonics and Immune Responses XI, 97090S (15 March 2016); https://doi.org/10.1117/12.2214270

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