Literature DB >> 25937783

Activity estimation in radioimmunotherapy using magnetic nanoparticles.

Samira Rasaneh1, Hossein Rajabi1, Fariba Johari Daha1.   

Abstract

OBJECTIVE: Estimation of activity accumulated in tumor and organs is very important in predicting the response of radiopharmaceuticals treatment. In this study, we synthesized (177)Lutetium ((177)Lu)-trastuzumab-iron oxide nanoparticles as a double radiopharmaceutical agent for treatment and better estimation of organ activity in a new way by magnetic resonance imaging (MRI).
METHODS: (177)Lu-trastuzumab-iron oxide nanoparticles were synthesized and all the quality control tests such as labeling yield, nanoparticle size determination, stability in buffer and blood serum up to 4 d, immunoreactivity and biodistribution in normal mice were determined. In mice bearing breast tumor, liver and tumor activities were calculated with three methods: single photon emission computed tomography (SPECT), MRI and organ extraction, which were compared with each other.
RESULTS: The good results of quality control tests (labeling yield: 61%±2%, mean nanoparticle hydrodynamic size: 41±15 nm, stability in buffer: 86%±5%, stability in blood serum: 80%±3%, immunoreactivity: 80%±2%) indicated that (177)Lu-trastuzumab-iron oxide nanoparticles could be used as a double radiopharmaceutical agent in mice bearing tumor. Results showed that (177)Lu-trastuzumab-iron oxide nanoparticles with MRI had the ability to measure organ activities more accurate than SPECT.
CONCLUSIONS: Co-conjugating radiopharmaceutical to MRI contrast agents such as iron oxide nanoparticles may be a good way for better dosimetry in nuclear medicine treatment.

Entities:  

Keywords:  Radioimmunotherapy (RIT); activity estimation; herceptin; lutetium-177; magnetic nanoparticles; magnetic resonance imaging (MRI)

Year:  2015        PMID: 25937783      PMCID: PMC4409977          DOI: 10.3978/j.issn.1000-9604.2015.03.06

Source DB:  PubMed          Journal:  Chin J Cancer Res        ISSN: 1000-9604            Impact factor:   5.087


  22 in total

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