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Lung tumour growth kinetics in SPC-c-Raf-1-BB transgenic mice assessed by longitudinal in-vivo micro-CT quantification
BACKGROUND: SPC-c-Raf-1-BxB transgenic mice develop genetically induced disseminated lung adenocarcinoma allowing examination of carcinogenesis and evaluation of novel treatment strategies. We report on assessment of lung tumour growth kinetics using a semiautomated region growing segmentation algor...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308131/ https://www.ncbi.nlm.nih.gov/pubmed/22348342 http://dx.doi.org/10.1186/1756-9966-31-15 |
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author | Rodt, Thomas von Falck, Christian Dettmer, Sabine Hueper, Katja Halter, Roman Hoy, Ludwig Luepke, Matthias Borlak, Juergen Wacker, Frank |
author_facet | Rodt, Thomas von Falck, Christian Dettmer, Sabine Hueper, Katja Halter, Roman Hoy, Ludwig Luepke, Matthias Borlak, Juergen Wacker, Frank |
author_sort | Rodt, Thomas |
collection | PubMed |
description | BACKGROUND: SPC-c-Raf-1-BxB transgenic mice develop genetically induced disseminated lung adenocarcinoma allowing examination of carcinogenesis and evaluation of novel treatment strategies. We report on assessment of lung tumour growth kinetics using a semiautomated region growing segmentation algorithm. METHODS: 156 non contrast-enhanced respiratory gated micro-CT of the lungs were obtained in 12 SPC-raf transgenic (n = 9) and normal (n = 3) mice at different time points. Region-growing segmentation of the aerated lung areas was obtained as an inverse surrogate for tumour burden. Time course of segmentation volumes was assessed to demonstrate the potential of the method for follow-up studies. RESULTS: Micro-CT allowed assessment of tumour growth kinetics and semiautomated region growing enabled quantitative analysis. Significant changes of the segmented lung volumes over time could be shown (p = 0.009). Significant group differences could be detected between transgenic and normal animals for time points 8 to 13 months (p = 0.043), when marked tumour progression occurred. CONCLUSION: The presented region-growing segmentation algorithm allows in-vivo quantification of multifocal lung adenocarcinoma in SPC-raf transgenic mice. This enables the assessment of tumour load and progress for the study of carcinogenesis and the evaluation of novel treatment strategies. |
format | Online Article Text |
id | pubmed-3308131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33081312012-03-21 Lung tumour growth kinetics in SPC-c-Raf-1-BB transgenic mice assessed by longitudinal in-vivo micro-CT quantification Rodt, Thomas von Falck, Christian Dettmer, Sabine Hueper, Katja Halter, Roman Hoy, Ludwig Luepke, Matthias Borlak, Juergen Wacker, Frank J Exp Clin Cancer Res Research BACKGROUND: SPC-c-Raf-1-BxB transgenic mice develop genetically induced disseminated lung adenocarcinoma allowing examination of carcinogenesis and evaluation of novel treatment strategies. We report on assessment of lung tumour growth kinetics using a semiautomated region growing segmentation algorithm. METHODS: 156 non contrast-enhanced respiratory gated micro-CT of the lungs were obtained in 12 SPC-raf transgenic (n = 9) and normal (n = 3) mice at different time points. Region-growing segmentation of the aerated lung areas was obtained as an inverse surrogate for tumour burden. Time course of segmentation volumes was assessed to demonstrate the potential of the method for follow-up studies. RESULTS: Micro-CT allowed assessment of tumour growth kinetics and semiautomated region growing enabled quantitative analysis. Significant changes of the segmented lung volumes over time could be shown (p = 0.009). Significant group differences could be detected between transgenic and normal animals for time points 8 to 13 months (p = 0.043), when marked tumour progression occurred. CONCLUSION: The presented region-growing segmentation algorithm allows in-vivo quantification of multifocal lung adenocarcinoma in SPC-raf transgenic mice. This enables the assessment of tumour load and progress for the study of carcinogenesis and the evaluation of novel treatment strategies. BioMed Central 2012-02-20 /pmc/articles/PMC3308131/ /pubmed/22348342 http://dx.doi.org/10.1186/1756-9966-31-15 Text en Copyright ©2012 Rodt et al; BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Rodt, Thomas von Falck, Christian Dettmer, Sabine Hueper, Katja Halter, Roman Hoy, Ludwig Luepke, Matthias Borlak, Juergen Wacker, Frank Lung tumour growth kinetics in SPC-c-Raf-1-BB transgenic mice assessed by longitudinal in-vivo micro-CT quantification |
title | Lung tumour growth kinetics in SPC-c-Raf-1-BB transgenic mice assessed by longitudinal in-vivo micro-CT quantification |
title_full | Lung tumour growth kinetics in SPC-c-Raf-1-BB transgenic mice assessed by longitudinal in-vivo micro-CT quantification |
title_fullStr | Lung tumour growth kinetics in SPC-c-Raf-1-BB transgenic mice assessed by longitudinal in-vivo micro-CT quantification |
title_full_unstemmed | Lung tumour growth kinetics in SPC-c-Raf-1-BB transgenic mice assessed by longitudinal in-vivo micro-CT quantification |
title_short | Lung tumour growth kinetics in SPC-c-Raf-1-BB transgenic mice assessed by longitudinal in-vivo micro-CT quantification |
title_sort | lung tumour growth kinetics in spc-c-raf-1-bb transgenic mice assessed by longitudinal in-vivo micro-ct quantification |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308131/ https://www.ncbi.nlm.nih.gov/pubmed/22348342 http://dx.doi.org/10.1186/1756-9966-31-15 |
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