Mathematical Models for FDG Kinetics in Cancer: A Review

Compartmental analysis is the mathematical framework for the modelling of tracer kinetics in dynamical Positron Emission Tomography. This paper provides a review of how compartmental models are constructed and numerically optimized. Specific focus is given on the identifiability and sensitivity issu...

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Autores principales: Sommariva, Sara, Caviglia, Giacomo, Sambuceti, Gianmario, Piana, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398381/
https://www.ncbi.nlm.nih.gov/pubmed/34436460
http://dx.doi.org/10.3390/metabo11080519
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author Sommariva, Sara
Caviglia, Giacomo
Sambuceti, Gianmario
Piana, Michele
author_facet Sommariva, Sara
Caviglia, Giacomo
Sambuceti, Gianmario
Piana, Michele
author_sort Sommariva, Sara
collection PubMed
description Compartmental analysis is the mathematical framework for the modelling of tracer kinetics in dynamical Positron Emission Tomography. This paper provides a review of how compartmental models are constructed and numerically optimized. Specific focus is given on the identifiability and sensitivity issues and on the impact of complex physiological conditions on the mathematical properties of the models.
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spelling pubmed-83983812021-08-29 Mathematical Models for FDG Kinetics in Cancer: A Review Sommariva, Sara Caviglia, Giacomo Sambuceti, Gianmario Piana, Michele Metabolites Review Compartmental analysis is the mathematical framework for the modelling of tracer kinetics in dynamical Positron Emission Tomography. This paper provides a review of how compartmental models are constructed and numerically optimized. Specific focus is given on the identifiability and sensitivity issues and on the impact of complex physiological conditions on the mathematical properties of the models. MDPI 2021-08-06 /pmc/articles/PMC8398381/ /pubmed/34436460 http://dx.doi.org/10.3390/metabo11080519 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sommariva, Sara
Caviglia, Giacomo
Sambuceti, Gianmario
Piana, Michele
Mathematical Models for FDG Kinetics in Cancer: A Review
title Mathematical Models for FDG Kinetics in Cancer: A Review
title_full Mathematical Models for FDG Kinetics in Cancer: A Review
title_fullStr Mathematical Models for FDG Kinetics in Cancer: A Review
title_full_unstemmed Mathematical Models for FDG Kinetics in Cancer: A Review
title_short Mathematical Models for FDG Kinetics in Cancer: A Review
title_sort mathematical models for fdg kinetics in cancer: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398381/
https://www.ncbi.nlm.nih.gov/pubmed/34436460
http://dx.doi.org/10.3390/metabo11080519
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