Dosimetric evaluations using images of scanning predose of patients undergoing radioiodine therapy
Keywords:
Dosimetry, Nuclear Medicine, Voxel Phantoms, Monte Carlo, Radioiodine Therapy.Abstract
Radioiodine Therapy is a technique for thyroid cancer treatment. In this technique, thyroidectomized patients are submitted to the incorporation of a radioactive substance iodide of sodium (Na131I) that reacts physiologically with the metastasis, thyroid tissue remains and other organs and tissues of the human body. The locations of these reactions are known as areas of larger concentration, hyper collector areas or hyper concentrator areas, (“hot-areas" or sourceorgans) and are visualized through nuclear medicine images known as pre-dose (anterior and posterior). To obtain those images, patient receives, through his mouth, a small dose of 131I with low activity (± 74 MBq), later he is positioned in the gleam camera. According to the presences of hot-area shown in the image, the nuclear doctor determines the activity to be administrated in the treatment. This analysis is purely qualitative. In this study, the images of scanning predose were adjusted to the dimensions of the Voxel phantom – FAX, and the hot-area ones corresponds to the internal sources of the proposed model. For the calculations of the coefficients of conversions between equivalent dose and accumulated activity in the principal organs radio sensible, the FAX and the source were coupled to the code of transport of the radiation EGS4 (Electron Gamma Shower, version 4). The obtained results with this computational model were compared with others similar published. It is possible to esteem the equivalent doses in patient’s radio sensible organs and tissues using the conversion coefficients here developed.Downloads
How to Cite
Lopes Filho, F. de J., Lima, F. R. A., & Vieira, J. W. (2011). Dosimetric evaluations using images of scanning predose of patients undergoing radioiodine therapy. Scientia Plena, 4(11). Retrieved from https://scientiaplena.emnuvens.com.br/sp/article/view/735
Issue
Section
Articles
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work