Positron emission tomography imaging using radiolabeled iron oxide nanomaterials

Mudathir Ahmed Hamid 1, *, Mohammed Ibrahim Mohammed Omer 2, Fawzia E.M. Elbashir 3, Neazar Essam Bagdadi 4 and Magd Ahmed Almalky 5

1 Ph.D., University of Gezira, Sudan.
2 Assistant professor, Nile Valley University, Sudan.
3 Assistant professor, University if Gezir, Sudan.
4 Assistant professor, King Abdulaziz University, Saudi Arabia.
5 Lecturer, University of TU, Oklahoma.
 
Review
World Journal of Biology Pharmacy and Health Sciences, 2024, 19(01), 350–354.
Article DOI: 10.30574/wjbphs.2024.19.1.0450
Publication history: 
Received on 15 June 2024; revised on 21 July 2024; accepted on 24 July 2024
 
Abstract: 
This review aims to demonstrate the usability of radiolabeled iron oxide nanoparticles (IONPs) as PET imaging contrast agents and their perspectives in biomedical research and clinical practice. Magnetite and maghemite IONPs are superparamagnetic and released for multiple biomedical uses. Combining these nanoparticles with PET imaging significantly improves diagnostic capacities and treatment outcomes. Chelating agents and direct incorporation during synthesis are two techniques used in radiolabeling of nanoparticles to monitor particles in vivo. The review covers the background information on PET imaging, the opportunities provided by IONPs, and possible difficulties when using them. With new advancements in bimodal IONP templates, it is possible to use MRI and PET simultaneously for single-cell resolution imaging. The prospects centre on improving IONP safety and efficiency, utilizing nanomaterials with the 52Mn label, and applying IONPs in multimodal imaging. Copper-64 has also emerged as applicable in nuclear medicine, particularly in cancer diagnosis, using the copper-64 as a radiolabeling agent. These new generation automobiles of radiolabeled IONPs for PET imaging are a significant advancement to molecular and cellular imaging with possible enhancements in diagnostic precision and elements of precision medicine.
 
Keywords: 
PET; Multimodal imaging; Biomedical application; Cancer diagnosis; Personalized medicine
 
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