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Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma

OBJECTIVE: To explore the correlation between the spectral computed tomography (CT) imaging parameters and the Ki-67 labeling index in lung adenocarcinoma. METHODS: Spectral CT imaging parameters [iodine concentrations of lesions (ICLs) in the arterial phase (ICLa) and venous phase (ICLv), normalize...

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Autores principales: Chen, Mailin, Li, Xiaoting, Wei, Yiyuan, Qi, Liping, Sun, Ying-Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072011/
https://www.ncbi.nlm.nih.gov/pubmed/32194309
http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.11
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author Chen, Mailin
Li, Xiaoting
Wei, Yiyuan
Qi, Liping
Sun, Ying-Shi
author_facet Chen, Mailin
Li, Xiaoting
Wei, Yiyuan
Qi, Liping
Sun, Ying-Shi
author_sort Chen, Mailin
collection PubMed
description OBJECTIVE: To explore the correlation between the spectral computed tomography (CT) imaging parameters and the Ki-67 labeling index in lung adenocarcinoma. METHODS: Spectral CT imaging parameters [iodine concentrations of lesions (ICLs) in the arterial phase (ICLa) and venous phase (ICLv), normalized IC in the aorta (NICa/NICv), slope of the spectral HU curve (λHUa/λHUv) and monochromatic CT number enhancement on 40 keV and 70 keV images (CT40keVa/v, CT70keVa/v)] in 34 lung adenocarcinomas were analyzed, and common molecular markers, including the Ki-67 labeling index, were detected with immunohistochemistry. Different Ki-67 labeling indexes were measured and grouped into four grades according to the number of positive-stained cells (grade 0, ≤1%; 1%<grade 1≤10%; 10%<grade 2≤30%; and grade 3, >30%). One-way analysis of variance (ANOVA) was used to compare the four different grades, and the Bonferroni method was used to correct the P value for multiple comparisons. A Spearman correlation analysis was performed to further research a quantitative correlation between the Ki-67 labeling index and spectral CT imaging parameters. RESULTS: CT40keVa, CT40keVv, CT70keVa and CT70keVv increased as the grade increased, and CT70keVa and CT70keVv were statistically significant (P<0.05). These four parameters and the Ki-67 labeling index showed a moderate positive correlation with lung adenocarcinoma nodules. ICL, NIC and λHU in the arterial and venous phases were not significantly different among the four grades. CONCLUSIONS: The spectral CT imaging parameters CT40keVa, CT40keVv, CT70keVa and CT70keVv gradually increased with Ki-67 expression and showed a moderate positive correlation with lung adenocarcinomas. Therefore, spectral CT imaging parameter-enhanced monochromatic CT numbers at 70 keV may indicate the extent of proliferation of lung adenocarcinomas.
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spelling pubmed-70720112020-03-19 Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma Chen, Mailin Li, Xiaoting Wei, Yiyuan Qi, Liping Sun, Ying-Shi Chin J Cancer Res Original Article OBJECTIVE: To explore the correlation between the spectral computed tomography (CT) imaging parameters and the Ki-67 labeling index in lung adenocarcinoma. METHODS: Spectral CT imaging parameters [iodine concentrations of lesions (ICLs) in the arterial phase (ICLa) and venous phase (ICLv), normalized IC in the aorta (NICa/NICv), slope of the spectral HU curve (λHUa/λHUv) and monochromatic CT number enhancement on 40 keV and 70 keV images (CT40keVa/v, CT70keVa/v)] in 34 lung adenocarcinomas were analyzed, and common molecular markers, including the Ki-67 labeling index, were detected with immunohistochemistry. Different Ki-67 labeling indexes were measured and grouped into four grades according to the number of positive-stained cells (grade 0, ≤1%; 1%<grade 1≤10%; 10%<grade 2≤30%; and grade 3, >30%). One-way analysis of variance (ANOVA) was used to compare the four different grades, and the Bonferroni method was used to correct the P value for multiple comparisons. A Spearman correlation analysis was performed to further research a quantitative correlation between the Ki-67 labeling index and spectral CT imaging parameters. RESULTS: CT40keVa, CT40keVv, CT70keVa and CT70keVv increased as the grade increased, and CT70keVa and CT70keVv were statistically significant (P<0.05). These four parameters and the Ki-67 labeling index showed a moderate positive correlation with lung adenocarcinoma nodules. ICL, NIC and λHU in the arterial and venous phases were not significantly different among the four grades. CONCLUSIONS: The spectral CT imaging parameters CT40keVa, CT40keVv, CT70keVa and CT70keVv gradually increased with Ki-67 expression and showed a moderate positive correlation with lung adenocarcinomas. Therefore, spectral CT imaging parameter-enhanced monochromatic CT numbers at 70 keV may indicate the extent of proliferation of lung adenocarcinomas. AME Publishing Company 2020-02 /pmc/articles/PMC7072011/ /pubmed/32194309 http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.11 Text en Copyright © 2020 Chinese Journal of Cancer Research. All rights reserved. http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Original Article
Chen, Mailin
Li, Xiaoting
Wei, Yiyuan
Qi, Liping
Sun, Ying-Shi
Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma
title Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma
title_full Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma
title_fullStr Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma
title_full_unstemmed Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma
title_short Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma
title_sort spectral ct imaging parameters and ki-67 labeling index in lung adenocarcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072011/
https://www.ncbi.nlm.nih.gov/pubmed/32194309
http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.11
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