Measurement of mouse head and neck tumors by automated analysis of CBCT images.

Autor: Van Court B; Department of Radiation Oncology, University of Colorado, Anschutz Medical Campus, Aurora, USA., Neupert B; Department of Radiation Oncology, University of Colorado, Anschutz Medical Campus, Aurora, USA., Nguyen D; Department of Radiation Oncology, University of Colorado, Anschutz Medical Campus, Aurora, USA., Ross R; Department of Radiation Oncology, University of Colorado, Anschutz Medical Campus, Aurora, USA., Knitz MW; Department of Radiation Oncology, University of Colorado, Anschutz Medical Campus, Aurora, USA., Karam SD; Department of Radiation Oncology, University of Colorado, Anschutz Medical Campus, Aurora, USA. sana.karam@cuanschutz.edu.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Jul 25; Vol. 13 (1), pp. 12033. Date of Electronic Publication: 2023 Jul 25.
DOI: 10.1038/s41598-023-39159-6
Abstrakt: 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.
(© 2023. The Author(s).)
Databáze: MEDLINE
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