| Literature DB >> 28157157 |
Sriram Sridhar1, Sachin Mishra2, Miklós Gulyás3, Parasuraman Padmanabhan4, Balázs Gulyás5.
Abstract
Nanomaterials have gained tremendous significance as contrast agents for both anatomical and functional preclinical bio-imaging. Contrary to conventional medical practices, molecular imaging plays an important role in exploring the affected cells, thus providing precision medical solutions. It has been observed that incorporating nanoprobes improves the overall efficacy of the diagnosis and treatment processes. These nano-agents and tracers are therefore often incorporated into preclinical therapeutic and diagnostic applications. Multimodal imaging approaches are well equipped with nanoprobes to explore neurological disorders, as they can display more than one type of characteristic in molecular imaging. Multimodal imaging systems are explored by researchers as they can provide both anatomical and functional details of tumors and affected tissues. In this review, we present the state-of-the-art research concerning multimodal imaging systems and nanoprobes for neuroimaging applications.Entities:
Keywords: multimodal imaging; nanoprobes; neuroimaging; tumor
Mesh:
Substances:
Year: 2017 PMID: 28157157 PMCID: PMC5343847 DOI: 10.3390/ijms18020311
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Magnetic Resonance Imaging (MRI) and 18F–Fluro-ethyl-tyrosine (18F–FLT)/Positron Emission Tomography/Computed Tomography (PET-CT) images from a patient with glioblastoma (GBM). Images were taken 21 days post-operatively and 2 days before radiotherapy. (a) T2-weighted MRI; (b) 18F–FLT PET image; (c) CT image of PET-CT scan. Residual tumor regions defined by T2-MRI (blue line) and 18F–FLT PET (yellow line) are superimposed on the CT image. This research was originally published in Reference [18].
Figure 2This male patient with a history of right frontal lobe GBM presents with increased enhancement on axial T1-weighted imaging (a) 12.3 months after completion of radiation therapy. The region of interest analyses for the MRI perfusion (b) and FDG PET-CT (c,d) examinations demonstrate an rCBVmax of 3.6 and SUVratio of 2.0. The SUVlesion max is 8.2 (red box), and the SUVnormal brain is 4.1 (green box). The lesion was resected and pathologically proven to be recurrent tumor. Adapted with permission from Reference [25].
Figure 3Patient no. 25 suffered from a cerebellar hemorrhage and developed a hypometabolic area corresponding to tissue loss in the left cerebellar hemisphere (b + d) in addition to a cerebellar cortical diaschisis (a + b). (a) Cortex (MRI fusioned with PET)–decreased activity in the right hemisphere; (b) Cerebellum (MRI fusioned with PET)—decreased activity in the left cerebellar hemisphere; (c) Cortex (MRI)—no structural changes; (d) Cerebellum (MRI)—sequelae after hemorrhage. This research was originally published in Reference [30].
Figure 4fMRI-PET activation overlaps in responses to external pain stimuli in a group of healthy volunteers. Spatial overlap of receptor activation measured decreases in BPND (PET, blue–green) and BOLD fMRI (pain > non-painful pressure, red–yellow) was shown in the thalamus and striatum (putamen/nucleus accumbens) (Putamen/NAc). Adapted with permission from Reference [33].
Recently developed nanoprobes used for multimodal neuroimaging applications.
| S. No. | Nanoprobes | Imaging Modalities | Application | References |
|---|---|---|---|---|
| 1 | Flurothymidine (18F–FLT) | MRI and PET-CT | Detecting residual disease post operation in patients with malignant glioma | Zhao et al. [ |
| 2 | 18F–Fluro-ethyl-tyrosine (18F–FET) | PET-CT | Image-guided stereotactic radiotherapy in patients with skull-base lesions | Badakhshi et al. [ |
| 3 | FDG | PET-CT | Statistical parametric mapping, metabolic activities visualization | Nonokuma et al. [ |
| 4 | 11C–Methionine | PET-CT | Cerebellar lesions imaging | Deguchi et al. [ |
| 5 | Fluoroflumazenil | PET-CT | Cerebral blood flow during heart attacks | Wright et al. [ |
| 6 | 18FDG | PET-CT | Modelling Alzheimer’s using Fourier transform analysis | Knesaurek et al. [ |
| 7 | 68Ga–Pentixafor | PET-CT | Studying Chemokine receptor 4 during glioblastoma | Lapa et al. [ |
| 8 | 18FDG | PET/MRI/MRS | Determine relationship between brain functions, aging and caloric restriction | Guo et al. [ |
| 9 | 15O-H2O | PET/ MRI | To identify critically hypo perfused tissue during thrombolysis trials | Werner et al. [ |
| 10 | 18FDG | PET/MRI | Record the relative values of regional cerebral glucose metabolic rate in Fabry disease and monitoring dementia | Korsholm et al. [ |
| 11 | 18FDG | PET/MRI | Whole-brain imaging system | Anazodo et al. [ |
| 12 | 11C diprenorphine (11C–DPN) | fMRI/PET | To identify the regional endogenous opioid displacement from the opioid receptor | Hsiao Ying Wey et al. [ |
| 13 | 18FDG | PET/MRI | Study metabolism in the different brain regions | Zandieh et al. [ |
| 14 | 52Mn | PET/MRI | Divalent metal transporter 1 (DTM1) reporter gene for cell tracking in the central nervous system | Lewis et al. [ |
| 15 | 18F–FET | PET-DSC MRI | Evaluating tumor metabolism, structure and blood volume in the study of the human brain | Henriksen et al. [ |
| 16 | Liposomal nanoparticles | SPECT-CT | Localizing endocrine and neuroendocrine tumors, brain imaging | Pachowicz et al. [ |
| 17 | 123I-β-CIT | SPECT-CT | Synthesized a model of Parkinson’s using 6-Hydroxydopamine (6-OHDA) pathway in rats, for ascertaining neuroprotective properties of drugs | Bäck et al. [ |
| 18 | 123I-β-CIT | SPECT-CT | Dopamine transporter binding in the mouse brain | Pitkonen et al. [ |