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Monte Carlo Calculation of Radioimmunotherapy with (90)Y-, (177)Lu-, (131)I-, (124)I-, and (188)Re-Nanoobjects: Choice of the Best Radionuclide for Solid Tumour Treatment by Using TCP and NTCP Concepts

Radioimmunotherapy has shown that the use of monoclonal antibodies combined with a radioisotope like (131)I or (90)Y still remains ineffective for solid and radioresistant tumour treatment. Previous simulations have revealed that an increase in the number of (90)Y labelled to each antibody or nanoob...

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Autores principales: Lucas, S., Feron, O., Gallez, B., Masereel, B., Michiels, C., Vander Borght, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469173/
https://www.ncbi.nlm.nih.gov/pubmed/26136812
http://dx.doi.org/10.1155/2015/284360
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author Lucas, S.
Feron, O.
Gallez, B.
Masereel, B.
Michiels, C.
Vander Borght, T.
author_facet Lucas, S.
Feron, O.
Gallez, B.
Masereel, B.
Michiels, C.
Vander Borght, T.
author_sort Lucas, S.
collection PubMed
description Radioimmunotherapy has shown that the use of monoclonal antibodies combined with a radioisotope like (131)I or (90)Y still remains ineffective for solid and radioresistant tumour treatment. Previous simulations have revealed that an increase in the number of (90)Y labelled to each antibody or nanoobject could be a solution to improve treatment output. It now seems important to assess the treatment output and toxicity when radionuclides such as (90)Y, (177)Lu, (131)I, (124)I, and (188)Re are used. Tumour control probability (TCP) and normal tissue complication probability (NTCP) curves versus the number of radionuclides per nanoobject were computed with MCNPX to evaluate treatment efficacy for solid tumours and to predict the incidence of surrounding side effects. Analyses were carried out for two solid tumour sizes of 0.5 and 1.0 cm radius and for nanoobject (i.e., a radiolabelled antibody) distributed uniformly or nonuniformly throughout a solid tumour (e.g., Non-small-cell-lung cancer (NSCLC)). (90)Y and (188)Re are the best candidates for solid tumour treatment when only one radionuclide is coupled to one carrier. Furthermore, regardless of the radionuclide properties, high values of TCP can be reached without toxicity if the number of radionuclides per nanoobject increases.
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spelling pubmed-44691732015-07-01 Monte Carlo Calculation of Radioimmunotherapy with (90)Y-, (177)Lu-, (131)I-, (124)I-, and (188)Re-Nanoobjects: Choice of the Best Radionuclide for Solid Tumour Treatment by Using TCP and NTCP Concepts Lucas, S. Feron, O. Gallez, B. Masereel, B. Michiels, C. Vander Borght, T. Comput Math Methods Med Research Article Radioimmunotherapy has shown that the use of monoclonal antibodies combined with a radioisotope like (131)I or (90)Y still remains ineffective for solid and radioresistant tumour treatment. Previous simulations have revealed that an increase in the number of (90)Y labelled to each antibody or nanoobject could be a solution to improve treatment output. It now seems important to assess the treatment output and toxicity when radionuclides such as (90)Y, (177)Lu, (131)I, (124)I, and (188)Re are used. Tumour control probability (TCP) and normal tissue complication probability (NTCP) curves versus the number of radionuclides per nanoobject were computed with MCNPX to evaluate treatment efficacy for solid tumours and to predict the incidence of surrounding side effects. Analyses were carried out for two solid tumour sizes of 0.5 and 1.0 cm radius and for nanoobject (i.e., a radiolabelled antibody) distributed uniformly or nonuniformly throughout a solid tumour (e.g., Non-small-cell-lung cancer (NSCLC)). (90)Y and (188)Re are the best candidates for solid tumour treatment when only one radionuclide is coupled to one carrier. Furthermore, regardless of the radionuclide properties, high values of TCP can be reached without toxicity if the number of radionuclides per nanoobject increases. Hindawi Publishing Corporation 2015 2015-06-02 /pmc/articles/PMC4469173/ /pubmed/26136812 http://dx.doi.org/10.1155/2015/284360 Text en Copyright © 2015 S. Lucas et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lucas, S.
Feron, O.
Gallez, B.
Masereel, B.
Michiels, C.
Vander Borght, T.
Monte Carlo Calculation of Radioimmunotherapy with (90)Y-, (177)Lu-, (131)I-, (124)I-, and (188)Re-Nanoobjects: Choice of the Best Radionuclide for Solid Tumour Treatment by Using TCP and NTCP Concepts
title Monte Carlo Calculation of Radioimmunotherapy with (90)Y-, (177)Lu-, (131)I-, (124)I-, and (188)Re-Nanoobjects: Choice of the Best Radionuclide for Solid Tumour Treatment by Using TCP and NTCP Concepts
title_full Monte Carlo Calculation of Radioimmunotherapy with (90)Y-, (177)Lu-, (131)I-, (124)I-, and (188)Re-Nanoobjects: Choice of the Best Radionuclide for Solid Tumour Treatment by Using TCP and NTCP Concepts
title_fullStr Monte Carlo Calculation of Radioimmunotherapy with (90)Y-, (177)Lu-, (131)I-, (124)I-, and (188)Re-Nanoobjects: Choice of the Best Radionuclide for Solid Tumour Treatment by Using TCP and NTCP Concepts
title_full_unstemmed Monte Carlo Calculation of Radioimmunotherapy with (90)Y-, (177)Lu-, (131)I-, (124)I-, and (188)Re-Nanoobjects: Choice of the Best Radionuclide for Solid Tumour Treatment by Using TCP and NTCP Concepts
title_short Monte Carlo Calculation of Radioimmunotherapy with (90)Y-, (177)Lu-, (131)I-, (124)I-, and (188)Re-Nanoobjects: Choice of the Best Radionuclide for Solid Tumour Treatment by Using TCP and NTCP Concepts
title_sort monte carlo calculation of radioimmunotherapy with (90)y-, (177)lu-, (131)i-, (124)i-, and (188)re-nanoobjects: choice of the best radionuclide for solid tumour treatment by using tcp and ntcp concepts
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469173/
https://www.ncbi.nlm.nih.gov/pubmed/26136812
http://dx.doi.org/10.1155/2015/284360
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