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Measurement of mouse head and neck tumors by automated analysis of CBCT images
Animal experiments are often used to determine effects of drugs and other biological conditions on cancer progression, but poor accuracy and reproducibility of established tumor measurement methods make results unreliable. In orthotopic mouse models of head and neck cancer, tumor volumes approximate...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368694/ https://www.ncbi.nlm.nih.gov/pubmed/37491456 http://dx.doi.org/10.1038/s41598-023-39159-6 |
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author | Van Court, Benjamin Neupert, Brooke Nguyen, Diemmy Ross, Richard Knitz, Michael W. Karam, Sana D. |
author_facet | Van Court, Benjamin Neupert, Brooke Nguyen, Diemmy Ross, Richard Knitz, Michael W. Karam, Sana D. |
author_sort | Van Court, Benjamin |
collection | PubMed |
description | Animal experiments are often used to determine effects of drugs and other biological conditions on cancer progression, but poor accuracy and reproducibility of established tumor measurement methods make results unreliable. In orthotopic mouse models of head and neck cancer, tumor volumes approximated from caliper measurements are conventionally used to compare groups, but geometrical challenges make the procedure imprecise. To address this, we developed software to better measure these tumors by automated analysis of cone-beam computed tomography (CBCT) scans. This allows for analyses of tumor shape and growth dynamics that would otherwise be too inaccurate to provide biological insight. Monitoring tumor growth by calipers and imaging in parallel, we find that caliper measurements of small tumors are weakly correlated with actual tumor volume and highly susceptible to experimenter bias. The method presented provides a unique window to sources of error in a foundational aspect of preclinical head and neck cancer research and a valuable tool to mitigate them. |
format | Online Article Text |
id | pubmed-10368694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103686942023-07-27 Measurement of mouse head and neck tumors by automated analysis of CBCT images Van Court, Benjamin Neupert, Brooke Nguyen, Diemmy Ross, Richard Knitz, Michael W. Karam, Sana D. Sci Rep Article Animal experiments are often used to determine effects of drugs and other biological conditions on cancer progression, but poor accuracy and reproducibility of established tumor measurement methods make results unreliable. In orthotopic mouse models of head and neck cancer, tumor volumes approximated from caliper measurements are conventionally used to compare groups, but geometrical challenges make the procedure imprecise. To address this, we developed software to better measure these tumors by automated analysis of cone-beam computed tomography (CBCT) scans. This allows for analyses of tumor shape and growth dynamics that would otherwise be too inaccurate to provide biological insight. Monitoring tumor growth by calipers and imaging in parallel, we find that caliper measurements of small tumors are weakly correlated with actual tumor volume and highly susceptible to experimenter bias. The method presented provides a unique window to sources of error in a foundational aspect of preclinical head and neck cancer research and a valuable tool to mitigate them. Nature Publishing Group UK 2023-07-25 /pmc/articles/PMC10368694/ /pubmed/37491456 http://dx.doi.org/10.1038/s41598-023-39159-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Van Court, Benjamin Neupert, Brooke Nguyen, Diemmy Ross, Richard Knitz, Michael W. Karam, Sana D. Measurement of mouse head and neck tumors by automated analysis of CBCT images |
title | Measurement of mouse head and neck tumors by automated analysis of CBCT images |
title_full | Measurement of mouse head and neck tumors by automated analysis of CBCT images |
title_fullStr | Measurement of mouse head and neck tumors by automated analysis of CBCT images |
title_full_unstemmed | Measurement of mouse head and neck tumors by automated analysis of CBCT images |
title_short | Measurement of mouse head and neck tumors by automated analysis of CBCT images |
title_sort | measurement of mouse head and neck tumors by automated analysis of cbct images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368694/ https://www.ncbi.nlm.nih.gov/pubmed/37491456 http://dx.doi.org/10.1038/s41598-023-39159-6 |
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