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 18F-FDG PET/CT to investigate the relationship between texture analysis and metabolic parameters. Sixty-four pati...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357133/?tool=EBI |
| _version_ | 1818594943274319872 |
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| author | Tae-Yoon Kim Ji Young Lee Young-Jun Lee Dong Woo Park Kyung Tae Yun Young Choi |
| author_facet | Tae-Yoon Kim Ji Young Lee Young-Jun Lee Dong Woo Park Kyung Tae Yun Young Choi |
| author_sort | Tae-Yoon Kim |
| collection | DOAJ |
| 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 18F-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 18F-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. |
| first_indexed | 2024-12-16T11:08:09Z |
| format | Article |
| id | doaj.art-f6c9d0500bfb4445b7b16012377bba0a |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-16T11:08:09Z |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-f6c9d0500bfb4445b7b16012377bba0a2022-12-21T22:33:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01168CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsilsTae-Yoon KimJi Young LeeYoung-Jun LeeDong Woo ParkKyung TaeYun Young ChoiThe 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 18F-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 18F-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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357133/?tool=EBI |
| spellingShingle | Tae-Yoon Kim Ji Young Lee Young-Jun Lee Dong Woo Park Kyung Tae Yun Young Choi CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils PLoS ONE |
| 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 |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357133/?tool=EBI |
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