| Literature DB >> 27227167 |
Daiqin Chen1, Casey A Dougherty1, Dongzhi Yang1, Hongwei Wu1, Hao Hong2.
Abstract
Nuclear imaging techniques, including primarily positron emission tomography (PET) and single-photon emission computed tomography (SPECT), can provide quantitative information for a biological event in vivo with ultra-high sensitivity, however, the comparatively low spatial resolution is their major limitation in clinical application. By convergence of nuclear imaging with other imaging modalities like computed tomography (CT), magnetic resonance imaging (MRI) and optical imaging, the hybrid imaging platforms can overcome the limitations from each individual imaging technique. Possessing versatile chemical linking ability and good cargo-loading capacity, radioactive nanomaterials can serve as ideal imaging contrast agents. In this review, we provide a brief overview about current state-of-the-art applications of radioactive nanomaterials in the circumstances of multimodality imaging. We present strategies for incorporation of radioisotope(s) into nanomaterials along with applications of radioactive nanomaterials in multimodal imaging. Advantages and limitations of radioactive nanomaterials for multimodal imaging applications are discussed. Finally, a future perspective of possible radioactive nanomaterial utilization is presented for improving diagnosis and patient management in a variety of diseases.Entities:
Keywords: MRI; PET; Raman imaging; SPECT; fluorescence; multimodality imaging; optical imaging; photoacoustic imaging; radioactive nanomaterials; review
Year: 2016 PMID: 27227167 PMCID: PMC4876975 DOI: 10.18383/j.tom.2016.00121
Source DB: PubMed Journal: Tomography ISSN: 2379-1381
Representative Radioactive Nanomaterials for Multimodality Imaging
| Core Nanomaterials | Physical Properties | Radiolabel Incorporation Method | Intrinsic Imaging Capacity | Utilization | Synthesis Cost | Representative References |
|---|---|---|---|---|---|---|
| Inorganic nanomaterials | ||||||
| IONPs | Paramagnetic (T2 contrast, T1 contrast when size is small) | External chelator, isotope absorption, covalent linkage (18F) | MRI | LN mapping, tumor detection | $ | ( |
| Gold | Fluorescence, photoacoustic signal, SERS | External chelator, radioactive precursor | Fluorescence, PAI, CRET | Tumor targeting, image-guided surgery | $$ | ( |
| QD | fluorescence | External chelator | Fluorescence, CRET | LN mapping, tumor detection/surgery | $ | ( |
| Silica | Biocompatibility, ultrahigh cargo-loading capacity, biodegradability | External chelator, Isotope absorption | N/A | LN mapping, tumor detection/surgery (for C-dots), image-guided drug delivery | $ | ( |
| Carbon nanomaterials | Photothermal, fluorescence, photoacoustic signal, Raman signal | External chelator, | Fluorescence | Tumor detection | $$ (fullerene can be $$$) | ( |
| UCNPs | luminescent | External chelator, radioactive precursor (doping) | UCL | LN mapping, tumor detection | $$$ | ( |
| Mn-/Gd-containing nanomaterials | Paramagnetic (T1 contrast) | External chelator, radioactive precursor | MRI | Tumor targeting, | $$ | ( |
| Organic nanomaterials | ||||||
| Liposome | Biocompatibility, optimal pharmacokinetics | External chelator, isotope absorption | Fluorescence, MRI (intrinsic label) | Tumor targeting | $ | ( |
| Polymers | Biocompatibility, versatile chemistry | External chelator, isotope absorption | Fluorescence, PET (intrinsic label) | Tumor targeting, image-guided drug delivery | $ | ( |
Abbreviations: IONPs – iron oxide nanoparticles; MRI – magnetic resonance imaging; PAI – photoacoustic imaging; CRET – Cerenkov resonance energy transfer; LN – lymph node; UCNPs – upconversion nanoparticles; UCL – upconversion luminescence; PET – positron emission tomography; SERS – surface-enhanced Raman scattering; QD - quantum dots.
Scheme 1.Schematic illustration of radioactive nanomaterials for multimodality imaging.
Figure 1.The application of 89Zr-ferumoxytol for normal lymph nodes (LNs) and tumor-drained LNs (A). Top panel: the structure of 89Zr-ferumoxytol. Lower left panel: detection of normal axillary LNs by 89Zr-ferumoxytol in positron emission tomography (PET)/magnetic resonance imaging (MRI). Lower middle panel: detection of the tumor-drained LN in Hi-Myc mouse by 89Zr-ferumoxytol in PET/MRI. Down right upper panel: PET/MRI of prostate region showing that the drained LN is outside of the prostate organ (green circle). Down right lower panel: distant drained inguinal node is identified by 89Zr-ferumoxytol (red arrow). Reproduced with permission from Thorek et al (53). The application of 64Cu-labeled, MoS2/IONP hybrid nanomaterial for PET- and MRI-based tumor detection (B). The structure of 64Cu-labeled MoS2/IONP is shown along with PET and MRI results at 24-hour after injection. Significant tumor uptake was confirmed in PET (circle indicates the tumor location) with a “darkened” tumor area in the MRI. Reproduced with permission from Liu et al (62).
Figure 2.Application of 64Cu-labeled GdVO4: Eu nanosheets for targeted tumor imaging (A). The schematic structure of 64Cu-DOTA-GdVO4: Eu nanosheets is shown. PET and MRI images of PC-3 (EphB4+) tumor-bearing mice at 24-hours after injection are shown for 64Cu-DOTA-GdVO4: Eu nanosheets with or without conjugation of the Asp-Gly-Glu-Ala (DGEA) peptide. Reproduced with permission from Hu et al (66). Application of 64Cu-labeled MnO@HSA nanoparticles for MRI and PET imaging of tumors (B). Upper panel: magnetic resonance (MR) images on U87MG xenografts acquired at 0, 1, 4, and 24 hours after 64Cu-labeled MnO@HSA injection. Lower panel: PET images taken at 1, 4, and 24 hours after 64Cu-labeled MnO@HSA injection. Reproduced with permission from Huang et al (72).
Figure 3.Application of 124I-labeled, arginine–glycine–aspartic (RGD)-conjugated Cornell dots (C-dots) for clinical cancer detection and near-infrared fluorophore (NIRF)-guided surgery (A). Biocompatible C-dots could delineate a small pituitary lesion in a patient with metastasis patient in PET/MRI. The same-structured C-dots were successfully used for NIRF-guided tumor-drained LN removal. Reproduced with permission from Bradbury et al and Phillips et al (87, 88). Structure and application of intrinsically radioactive 64Cu-QDs for PET and Cerenkov resonance energy transfer (CRET) imaging (B). CRET luminescence photon flux was in a linear correlation with incorporated radioactivity. Consistent tumor uptake in U87MG tumors was revealed by PET and CRET. Reproduced with permission from Guo et al (90).
Figure 4.PET and ex vivo Raman imaging to evaluate the organ distribution of 64Cu-labeled gold nanoparticles (A). Consistent organ uptake was obtained by PET and Raman signals. Reproduced with permission from Zavaleta et al (93). 64Cu-labeled melanin nanoparticles were used for tumor detection via PET and photoacoustic imaging (PAI) (B). The schematic structure of melanin nanoparticles (MNPs) is provided along with examples of both PET and PAI images of tumor-bearing mice. Reproduced with permission from Yang et al (96).
Figure 5.Hexamodal imaging with radioactive nanomaterials. Schematic structure and transmission electronic microscopy (TEM) images of this porphyrin-/lipid-wrapped upconversion nanoparticles (UCNPs) (A). Imaging studies with material-filling tubing by upconversion luminescence (UCL), fluorescence, PAI, PET, computed tomography (CT), and Cerenkov luminescence imaging (CLI) (B). Signal intensity–tissue depth relationship was also examined. (Note: +/− det means cover or remove turkey breast over the tubing). In vivo LN mapping by these 6 imaging modalities (C). Photoacoustic (PA) images before and after the material injection are shown. Reproduced with permission from Rieffel et al (103).
Figure 6.Schematic structure of 99mTc-labeled ultrasmall paramagnetic iron oxide nanoparticles (USPIOs) (an iron oxide nanoparticle [IONP]) and clarification of its organ distribution by SPECT and MRI. T1-weighted images showing the increase in signal from blood in the vessels and the heart. SPECT/CT demonstrated similar pharmacokinetic profile for the 99mTc-labeled USPIO. Reproduced with permission from Sandiford et al (111). Schematic structure of EphB4-targeting micelles and their applications in SPECT/NIRF imaging of EphB4+ and EphB4− tumors (B). The EphB4 specificity of these micelles was validated by these two imaging modalities. Reproduced with permission from Zhang et al (114).