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Azim Arbabi
Researcher at Shahid Beheshti University of Medical Sciences and Health Services
Publications - 19
Citations - 198
Azim Arbabi is an academic researcher from Shahid Beheshti University of Medical Sciences and Health Services. The author has contributed to research in topics: Equivalent dose & Dosimetry. The author has an hindex of 6, co-authored 19 publications receiving 141 citations. Previous affiliations of Azim Arbabi include Tarbiat Modares University & Shahid Beheshti University.
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Radiosensitization effect of folate-conjugated gold nanoparticles on HeLa cancer cells under orthovoltage superficial radiotherapy techniques
TL;DR: Folate-conjugated GNPs can significantly enhance the cell killing potential of orthovoltage x-ray energies in folate receptor-expressing cancer cells, such as HeLa, in superficial radiotherapy techniques.
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Enhancing the effect of 4 MeV electron beam using gold nanoparticles in breast cancer cells
TL;DR: The data demonstrated the significant dose enhancement of the GNPs in combination with 4MeV electron beams that could be applicable for the treatment of superficial tumors and intra operative radiation therapy.
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Radiosensitization of breast cancer cells using AS1411 aptamer-conjugated gold nanoparticles
TL;DR: In this paper, the authors assessed the possible radiosensitiazation effect of gold nanoparticles conjugated with AS1411 aptamer (AS1411/GNPs) on cancer cells treated with 4-MeV electron beams.
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Radiosensitization of breast cancer cells using AS1411 aptamer-conjugated gold nanoparticles
TL;DR: The combination of the sensitizing GNPs with the AS14411 aptamer can be regarded for improved treatment of breast cancer cells especially for the mammosphere MCF-7 cancer cells mimicking cancerous tumors.
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The effects of cutouts on output, mean energy and percentage depth dose of 12 and 14 MeV electrons.
TL;DR: Electron field-shaping cerrobend cutouts on the linear accelerator applicator have some effects on the output and percentage depth dose which are presented in the form of predictive formulas, which would be useful in clinical applications.