English

The innovative $^{52g}$Mn for PET imaging: production cross section modeling and dosimetric evaluation

Medical Physics 2023-04-26 v1 Nuclear Theory

Abstract

Background: Recently, the reaction nat^{nat}V(α\alpha,x)52g^{52g}Mn has been proposed as a possible alternative to the standard nat^{nat}Cr(pp,x)52g^{52g}Mn one, but improvements in the modeling were needed to better compare the two production routes. Purpose: This work focuses on the development of precise simulations and models to compare the 52g^{52g}Mn production from both reactions in terms of amount of activity and radionuclidic purity (RNP), as well as in terms of dose increase (DI) due to the co-produced radioactive contaminants, with respect to a pure 52g^{52g}MnCl2_2 injection. Methods: The nuclear code Talys has been employed to optimize the nat^{nat}V(α\alpha,x)52g^{52g}Mn cross section by tuning the parameters of the microscopic level densities. Dosimetric assessments of [xx^{xx}Mn]Cl2_2 have been accomplished with OLINDA software 2.2.0 using female and male phantoms. At the end, the yield of xx^{xx}Mn radioisotopes estimated for the two production routes have been combined with the dosimetric results, to assess the DI at different times after the end of the irradiation. Results: Good agreement was obtained between cross sections calculations and measurements. The comparison of the two reaction channels suggests that nat^{nat}V(α\alpha,x)52g^{52g}Mn leads to higher yield and higher purity, resulting in a less harmful impact on patients' health in terms of DI. Conclusions: Both nat^{nat}V(α\alpha,x) and nat^{nat}Cr(pp,x) production routes provide clinically acceptable 52g^{52g}MnCl2_2 for PET imaging. However, the nat^{nat}V(α\alpha,x)52g^{52g}Mn reaction provides a DI systematically lower than the one obtainable with nat^{nat}Cr(pp,x)52g^{52g}Mn and a longer time window in which it can be used clinically (RNP \ge 99\%).

Keywords

Cite

@article{arxiv.2204.00402,
  title  = {The innovative $^{52g}$Mn for PET imaging: production cross section modeling and dosimetric evaluation},
  author = {F. Barbaro and L. Canton and M. P. Carante and A. Colombi and L. De Nardo and A. Fontana and L. Meléndez-Alafort},
  journal= {arXiv preprint arXiv:2204.00402},
  year   = {2023}
}

Comments

19 pages, 5 figures, 6 tables