Bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.

Radiologic images provide a way to monitor tumor development and its response to therapies in a longitudinal and minimally invasive fashion. However, they operate on a macroscopic scale (average value per voxel) and are not able to capture microscopic scale (cell-level) phenomena. Nevertheless, to e...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Jessica L Kingsley, James R Costello, Natarajan Raghunand, Katarzyna A Rejniak
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
Acceso en línea:https://doaj.org/article/9d01d26f380147d1b97a378225982f6d
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:9d01d26f380147d1b97a378225982f6d
record_format dspace
spelling oai:doaj.org-article:9d01d26f380147d1b97a378225982f6d2021-12-02T19:57:22ZBridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.1553-734X1553-735810.1371/journal.pcbi.1009206https://doaj.org/article/9d01d26f380147d1b97a378225982f6d2021-07-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009206https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Radiologic images provide a way to monitor tumor development and its response to therapies in a longitudinal and minimally invasive fashion. However, they operate on a macroscopic scale (average value per voxel) and are not able to capture microscopic scale (cell-level) phenomena. Nevertheless, to examine the causes of frequent fast fluctuations in tissue oxygenation, models simulating individual cells' behavior are needed. Here, we provide a link between the average data values recorded for radiologic images and the cellular and vascular architecture of the corresponding tissues. Using hybrid agent-based modeling, we generate a set of tissue morphologies capable of reproducing oxygenation levels observed in radiologic images. We then use these in silico tissues to investigate whether oxygen fluctuations can be explained by changes in vascular oxygen supply or by modulations in cellular oxygen absorption. Our studies show that intravascular changes in oxygen supply reproduce the observed fluctuations in tissue oxygenation in all considered regions of interest. However, larger-magnitude fluctuations cannot be recreated by modifications in cellular absorption of oxygen in a biologically feasible manner. Additionally, we develop a procedure to identify plausible tissue morphologies for a given temporal series of average data from radiology images. In future applications, this approach can be used to generate a set of tissues comparable with radiology images and to simulate tumor responses to various anti-cancer treatments at the tissue-scale level.Jessica L KingsleyJames R CostelloNatarajan RaghunandKatarzyna A RejniakPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 7, p e1009206 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Jessica L Kingsley
James R Costello
Natarajan Raghunand
Katarzyna A Rejniak
Bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.
description Radiologic images provide a way to monitor tumor development and its response to therapies in a longitudinal and minimally invasive fashion. However, they operate on a macroscopic scale (average value per voxel) and are not able to capture microscopic scale (cell-level) phenomena. Nevertheless, to examine the causes of frequent fast fluctuations in tissue oxygenation, models simulating individual cells' behavior are needed. Here, we provide a link between the average data values recorded for radiologic images and the cellular and vascular architecture of the corresponding tissues. Using hybrid agent-based modeling, we generate a set of tissue morphologies capable of reproducing oxygenation levels observed in radiologic images. We then use these in silico tissues to investigate whether oxygen fluctuations can be explained by changes in vascular oxygen supply or by modulations in cellular oxygen absorption. Our studies show that intravascular changes in oxygen supply reproduce the observed fluctuations in tissue oxygenation in all considered regions of interest. However, larger-magnitude fluctuations cannot be recreated by modifications in cellular absorption of oxygen in a biologically feasible manner. Additionally, we develop a procedure to identify plausible tissue morphologies for a given temporal series of average data from radiology images. In future applications, this approach can be used to generate a set of tissues comparable with radiology images and to simulate tumor responses to various anti-cancer treatments at the tissue-scale level.
format article
author Jessica L Kingsley
James R Costello
Natarajan Raghunand
Katarzyna A Rejniak
author_facet Jessica L Kingsley
James R Costello
Natarajan Raghunand
Katarzyna A Rejniak
author_sort Jessica L Kingsley
title Bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.
title_short Bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.
title_full Bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.
title_fullStr Bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.
title_full_unstemmed Bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.
title_sort bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/9d01d26f380147d1b97a378225982f6d
work_keys_str_mv AT jessicalkingsley bridgingcellscalesimulationsandradiologicimagestoexplainshorttimeintratumoraloxygenfluctuations
AT jamesrcostello bridgingcellscalesimulationsandradiologicimagestoexplainshorttimeintratumoraloxygenfluctuations
AT natarajanraghunand bridgingcellscalesimulationsandradiologicimagestoexplainshorttimeintratumoraloxygenfluctuations
AT katarzynaarejniak bridgingcellscalesimulationsandradiologicimagestoexplainshorttimeintratumoraloxygenfluctuations
_version_ 1718375855969796096