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Modeling the Effect of Hyperoxia on the Spin–Lattice Relaxation Rate R1 of Tissues

PURPOSE: Inducing hyperoxia in tissues is common practice in several areas of research, including oxygen‐enhanced MRI (OE‐MRI), which attempts to use the resulting signal changes to detect regions of tumor hypoxia or pulmonary disease. The linear relationship between PO(2) and R1 has been reproduced...

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Autores principales: Bluemke, Emma, Stride, Eleanor, Bulte, Daniel Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545427/
https://www.ncbi.nlm.nih.gov/pubmed/35678239
http://dx.doi.org/10.1002/mrm.29315
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author Bluemke, Emma
Stride, Eleanor
Bulte, Daniel Peter
author_facet Bluemke, Emma
Stride, Eleanor
Bulte, Daniel Peter
author_sort Bluemke, Emma
collection PubMed
description PURPOSE: Inducing hyperoxia in tissues is common practice in several areas of research, including oxygen‐enhanced MRI (OE‐MRI), which attempts to use the resulting signal changes to detect regions of tumor hypoxia or pulmonary disease. The linear relationship between PO(2) and R1 has been reproduced in phantom solutions and body fluids such as vitreous fluid; however, in tissue and blood experiments, factors such as changes in deoxyhemoglobin levels can also affect the ΔR1. THEORY AND METHODS: This manuscript proposes a three‐compartment model for estimating the hyperoxia‐induced changes in R1 of tissues depending on B0, SO(2), blood volume, hematocrit, oxygen extraction fraction, and changes in blood and tissue PO(2). The model contains two blood compartments (arterial and venous) and a tissue compartment. This model has been designed to be easy for researchers to tailor to their tissue of interest by substituting their preferred model for tissue oxygen diffusion and consumption. A specific application of the model is demonstrated by calculating the resulting ΔR1 expected in healthy, hypoxic and necrotic tumor tissues. In addition, the effect of sex‐based hematocrit differences on ΔR1 is assessed. RESULTS: The ΔR1 values predicted by the model are consistent with reported literature OE‐MRI results: with larger positive changes in the vascular periphery than hypoxic and necrotic regions. The observed sex‐based differences in ΔR1 agree with findings by Kindvall et al. suggesting that differences in hematocrit levels may sometimes be a confounding factor in ΔR1. CONCLUSION: This model can be used to estimate the expected tissue ΔR1 in oxygen‐enhanced MRI experiments.
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spelling pubmed-95454272022-10-14 Modeling the Effect of Hyperoxia on the Spin–Lattice Relaxation Rate R1 of Tissues Bluemke, Emma Stride, Eleanor Bulte, Daniel Peter Magn Reson Med Research Articles–Computer Processing and Modeling PURPOSE: Inducing hyperoxia in tissues is common practice in several areas of research, including oxygen‐enhanced MRI (OE‐MRI), which attempts to use the resulting signal changes to detect regions of tumor hypoxia or pulmonary disease. The linear relationship between PO(2) and R1 has been reproduced in phantom solutions and body fluids such as vitreous fluid; however, in tissue and blood experiments, factors such as changes in deoxyhemoglobin levels can also affect the ΔR1. THEORY AND METHODS: This manuscript proposes a three‐compartment model for estimating the hyperoxia‐induced changes in R1 of tissues depending on B0, SO(2), blood volume, hematocrit, oxygen extraction fraction, and changes in blood and tissue PO(2). The model contains two blood compartments (arterial and venous) and a tissue compartment. This model has been designed to be easy for researchers to tailor to their tissue of interest by substituting their preferred model for tissue oxygen diffusion and consumption. A specific application of the model is demonstrated by calculating the resulting ΔR1 expected in healthy, hypoxic and necrotic tumor tissues. In addition, the effect of sex‐based hematocrit differences on ΔR1 is assessed. RESULTS: The ΔR1 values predicted by the model are consistent with reported literature OE‐MRI results: with larger positive changes in the vascular periphery than hypoxic and necrotic regions. The observed sex‐based differences in ΔR1 agree with findings by Kindvall et al. suggesting that differences in hematocrit levels may sometimes be a confounding factor in ΔR1. CONCLUSION: This model can be used to estimate the expected tissue ΔR1 in oxygen‐enhanced MRI experiments. John Wiley and Sons Inc. 2022-06-09 2022-10 /pmc/articles/PMC9545427/ /pubmed/35678239 http://dx.doi.org/10.1002/mrm.29315 Text en © 2022 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles–Computer Processing and Modeling
Bluemke, Emma
Stride, Eleanor
Bulte, Daniel Peter
Modeling the Effect of Hyperoxia on the Spin–Lattice Relaxation Rate R1 of Tissues
title Modeling the Effect of Hyperoxia on the Spin–Lattice Relaxation Rate R1 of Tissues
title_full Modeling the Effect of Hyperoxia on the Spin–Lattice Relaxation Rate R1 of Tissues
title_fullStr Modeling the Effect of Hyperoxia on the Spin–Lattice Relaxation Rate R1 of Tissues
title_full_unstemmed Modeling the Effect of Hyperoxia on the Spin–Lattice Relaxation Rate R1 of Tissues
title_short Modeling the Effect of Hyperoxia on the Spin–Lattice Relaxation Rate R1 of Tissues
title_sort modeling the effect of hyperoxia on the spin–lattice relaxation rate r1 of tissues
topic Research Articles–Computer Processing and Modeling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545427/
https://www.ncbi.nlm.nih.gov/pubmed/35678239
http://dx.doi.org/10.1002/mrm.29315
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