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Methodology for Quantitative Rapid Multi-Tracer PET Tumor Characterizations
Positron emission tomography (PET) can image a wide variety of functional and physiological parameters in vivo using different radiotracers. As more is learned about the molecular basis for disease and treatment, the potential value of molecular imaging for characterizing and monitoring disease stat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840410/ https://www.ncbi.nlm.nih.gov/pubmed/24312149 http://dx.doi.org/10.7150/thno.5201 |
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author | Kadrmas, Dan J. Hoffman, John M. |
author_facet | Kadrmas, Dan J. Hoffman, John M. |
author_sort | Kadrmas, Dan J. |
collection | PubMed |
description | Positron emission tomography (PET) can image a wide variety of functional and physiological parameters in vivo using different radiotracers. As more is learned about the molecular basis for disease and treatment, the potential value of molecular imaging for characterizing and monitoring disease status has increased. Characterizing multiple aspects of tumor physiology by imaging multiple PET tracers in a single patient provides additional complementary information, and there is a significant body of literature supporting the potential value of multi-tracer PET imaging in oncology. However, imaging multiple PET tracers in a single patient presents a number of challenges. A number of techniques are under development for rapidly imaging multiple PET tracers in a single scan, where signal-recovery processing algorithms are employed to recover various imaging endpoints for each tracer. Dynamic imaging is generally used with tracer injections staggered in time, and kinetic constraints are utilized to estimate each tracers' contribution to the multi-tracer imaging signal. This article summarizes past and ongoing work in multi-tracer PET tumor imaging, and then organizes and describes the main algorithmic approaches for achieving multi-tracer PET signal-recovery. While significant advances have been made, the complexity of the approach necessitates protocol design, optimization, and testing for each particular tracer combination and application. Rapid multi-tracer PET techniques have great potential for both research and clinical cancer imaging applications, and continued research in this area is warranted. |
format | Online Article Text |
id | pubmed-3840410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-38404102013-12-05 Methodology for Quantitative Rapid Multi-Tracer PET Tumor Characterizations Kadrmas, Dan J. Hoffman, John M. Theranostics Review Positron emission tomography (PET) can image a wide variety of functional and physiological parameters in vivo using different radiotracers. As more is learned about the molecular basis for disease and treatment, the potential value of molecular imaging for characterizing and monitoring disease status has increased. Characterizing multiple aspects of tumor physiology by imaging multiple PET tracers in a single patient provides additional complementary information, and there is a significant body of literature supporting the potential value of multi-tracer PET imaging in oncology. However, imaging multiple PET tracers in a single patient presents a number of challenges. A number of techniques are under development for rapidly imaging multiple PET tracers in a single scan, where signal-recovery processing algorithms are employed to recover various imaging endpoints for each tracer. Dynamic imaging is generally used with tracer injections staggered in time, and kinetic constraints are utilized to estimate each tracers' contribution to the multi-tracer imaging signal. This article summarizes past and ongoing work in multi-tracer PET tumor imaging, and then organizes and describes the main algorithmic approaches for achieving multi-tracer PET signal-recovery. While significant advances have been made, the complexity of the approach necessitates protocol design, optimization, and testing for each particular tracer combination and application. Rapid multi-tracer PET techniques have great potential for both research and clinical cancer imaging applications, and continued research in this area is warranted. Ivyspring International Publisher 2013-10-04 /pmc/articles/PMC3840410/ /pubmed/24312149 http://dx.doi.org/10.7150/thno.5201 Text en © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. |
spellingShingle | Review Kadrmas, Dan J. Hoffman, John M. Methodology for Quantitative Rapid Multi-Tracer PET Tumor Characterizations |
title | Methodology for Quantitative Rapid Multi-Tracer PET Tumor Characterizations |
title_full | Methodology for Quantitative Rapid Multi-Tracer PET Tumor Characterizations |
title_fullStr | Methodology for Quantitative Rapid Multi-Tracer PET Tumor Characterizations |
title_full_unstemmed | Methodology for Quantitative Rapid Multi-Tracer PET Tumor Characterizations |
title_short | Methodology for Quantitative Rapid Multi-Tracer PET Tumor Characterizations |
title_sort | methodology for quantitative rapid multi-tracer pet tumor characterizations |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840410/ https://www.ncbi.nlm.nih.gov/pubmed/24312149 http://dx.doi.org/10.7150/thno.5201 |
work_keys_str_mv | AT kadrmasdanj methodologyforquantitativerapidmultitracerpettumorcharacterizations AT hoffmanjohnm methodologyforquantitativerapidmultitracerpettumorcharacterizations |