Using mathematical models to estimate drug resistance and treatment efficacy via CT scan measurements of tumour volume.

A previously described mathematical model designed to evaluate resistance and tumour-kill for individual patients, and to predict changing tumour sizes, has been applied to patients with small cell lung cancer. The model requires tumour volume measurements, and these were obtained via computed tomog...

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Autores principales: Gregory, W. M., Reznek, R. H., Hallett, M., Slevin, M. L.
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 1990
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1971496/
https://www.ncbi.nlm.nih.gov/pubmed/2223589
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author Gregory, W. M.
Reznek, R. H.
Hallett, M.
Slevin, M. L.
author_facet Gregory, W. M.
Reznek, R. H.
Hallett, M.
Slevin, M. L.
author_sort Gregory, W. M.
collection PubMed
description A previously described mathematical model designed to evaluate resistance and tumour-kill for individual patients, and to predict changing tumour sizes, has been applied to patients with small cell lung cancer. The model requires tumour volume measurements, and these were obtained via computed tomography scans of the chest. The model fitted the data well, and was able to predict later tumour volumes using earlier ones, as well as suggesting times at which to change or abandon treatment for individual patients. The model gave estimates for resistance and tumour-kill which may provide additional useful outcome measures for clinical trials, and help in the design of future studies.
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spelling pubmed-19714962009-09-10 Using mathematical models to estimate drug resistance and treatment efficacy via CT scan measurements of tumour volume. Gregory, W. M. Reznek, R. H. Hallett, M. Slevin, M. L. Br J Cancer Research Article A previously described mathematical model designed to evaluate resistance and tumour-kill for individual patients, and to predict changing tumour sizes, has been applied to patients with small cell lung cancer. The model requires tumour volume measurements, and these were obtained via computed tomography scans of the chest. The model fitted the data well, and was able to predict later tumour volumes using earlier ones, as well as suggesting times at which to change or abandon treatment for individual patients. The model gave estimates for resistance and tumour-kill which may provide additional useful outcome measures for clinical trials, and help in the design of future studies. Nature Publishing Group 1990-10 /pmc/articles/PMC1971496/ /pubmed/2223589 Text en https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Gregory, W. M.
Reznek, R. H.
Hallett, M.
Slevin, M. L.
Using mathematical models to estimate drug resistance and treatment efficacy via CT scan measurements of tumour volume.
title Using mathematical models to estimate drug resistance and treatment efficacy via CT scan measurements of tumour volume.
title_full Using mathematical models to estimate drug resistance and treatment efficacy via CT scan measurements of tumour volume.
title_fullStr Using mathematical models to estimate drug resistance and treatment efficacy via CT scan measurements of tumour volume.
title_full_unstemmed Using mathematical models to estimate drug resistance and treatment efficacy via CT scan measurements of tumour volume.
title_short Using mathematical models to estimate drug resistance and treatment efficacy via CT scan measurements of tumour volume.
title_sort using mathematical models to estimate drug resistance and treatment efficacy via ct scan measurements of tumour volume.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1971496/
https://www.ncbi.nlm.nih.gov/pubmed/2223589
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