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CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils

The purposes of the study were to determine whether there are differences in texture analysis parameters between tonsil cancers and normal tonsils, and to correlate texture analysis with (18)F-FDG PET/CT to investigate the relationship between texture analysis and metabolic parameters. Sixty-four pa...

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Autores principales: Kim, Tae-Yoon, Lee, Ji Young, Lee, Young-Jun, Park, Dong Woo, Tae, Kyung, Choi, Yun Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357133/
https://www.ncbi.nlm.nih.gov/pubmed/34379652
http://dx.doi.org/10.1371/journal.pone.0255835
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author Kim, Tae-Yoon
Lee, Ji Young
Lee, Young-Jun
Park, Dong Woo
Tae, Kyung
Choi, Yun Young
author_facet Kim, Tae-Yoon
Lee, Ji Young
Lee, Young-Jun
Park, Dong Woo
Tae, Kyung
Choi, Yun Young
author_sort Kim, Tae-Yoon
collection PubMed
description The purposes of the study were to determine whether there are differences in texture analysis parameters between tonsil cancers and normal tonsils, and to correlate texture analysis with (18)F-FDG PET/CT to investigate the relationship between texture analysis and metabolic parameters. Sixty-four patients with squamous cell carcinoma of the palatine tonsil were included. A ROI was drawn, including all slices, to involve the entire tumor. The contralateral normal tonsil was used for comparison with the tumors. Texture analysis parameters, mean, standard deviation (SD), entropy, mean positive pixels, skewness, and kurtosis were obtained using commercially available software. Parameters were compared between the tumor and the normal palatine tonsils. Comparisons were also performed among early tonsil cancer, advanced tonsil cancer, and normal tonsils. An ROC curve analysis was performed to assess discrimination of tumor from normal tonsils. Correlation between texture analysis and (18)F-FDG PET/CT was performed. Compared to normal tonsils, the tumors showed a significantly lower mean, higher SD, higher entropy, lower skewness, and higher kurtosis on most filters (p<0.001). On comparisons among normal tonsils, early cancers, and advanced tonsil cancers, SD and entropy showed significantly higher values on all filters (p<0.001) between early cancers and normal tonsils. The AUC from the ROC analysis was 0.91, obtained from the entropy. A mild correlation was shown between texture parameters and metabolic parameters. The texture analysis parameters, especially entropy, showed significant differences in contrast-enhanced CT results between tumor and normal tonsils, and between early tonsil cancers and normal tonsils. Texture analysis can be useful as an adjunctive tool for the diagnosis of tonsil cancers.
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spelling pubmed-83571332021-08-12 CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils Kim, Tae-Yoon Lee, Ji Young Lee, Young-Jun Park, Dong Woo Tae, Kyung Choi, Yun Young PLoS One Research Article The purposes of the study were to determine whether there are differences in texture analysis parameters between tonsil cancers and normal tonsils, and to correlate texture analysis with (18)F-FDG PET/CT to investigate the relationship between texture analysis and metabolic parameters. Sixty-four patients with squamous cell carcinoma of the palatine tonsil were included. A ROI was drawn, including all slices, to involve the entire tumor. The contralateral normal tonsil was used for comparison with the tumors. Texture analysis parameters, mean, standard deviation (SD), entropy, mean positive pixels, skewness, and kurtosis were obtained using commercially available software. Parameters were compared between the tumor and the normal palatine tonsils. Comparisons were also performed among early tonsil cancer, advanced tonsil cancer, and normal tonsils. An ROC curve analysis was performed to assess discrimination of tumor from normal tonsils. Correlation between texture analysis and (18)F-FDG PET/CT was performed. Compared to normal tonsils, the tumors showed a significantly lower mean, higher SD, higher entropy, lower skewness, and higher kurtosis on most filters (p<0.001). On comparisons among normal tonsils, early cancers, and advanced tonsil cancers, SD and entropy showed significantly higher values on all filters (p<0.001) between early cancers and normal tonsils. The AUC from the ROC analysis was 0.91, obtained from the entropy. A mild correlation was shown between texture parameters and metabolic parameters. The texture analysis parameters, especially entropy, showed significant differences in contrast-enhanced CT results between tumor and normal tonsils, and between early tonsil cancers and normal tonsils. Texture analysis can be useful as an adjunctive tool for the diagnosis of tonsil cancers. Public Library of Science 2021-08-11 /pmc/articles/PMC8357133/ /pubmed/34379652 http://dx.doi.org/10.1371/journal.pone.0255835 Text en © 2021 Kim et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kim, Tae-Yoon
Lee, Ji Young
Lee, Young-Jun
Park, Dong Woo
Tae, Kyung
Choi, Yun Young
CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils
title CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils
title_full CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils
title_fullStr CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils
title_full_unstemmed CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils
title_short CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils
title_sort ct texture analysis of tonsil cancer: discrimination from normal palatine tonsils
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357133/
https://www.ncbi.nlm.nih.gov/pubmed/34379652
http://dx.doi.org/10.1371/journal.pone.0255835
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