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Significance of depth of invasion determined by MRI in cT1N0 tongue squamous cell carcinoma

Depth of invasion (DOI) can be calculated preoperatively by MRI, and whether MRI-determined DOI can predict prognosis as well as whether it can be used as an indicator of neck dissection in cT1N0 tongue squamous cell carcinoma (SCC) remains unknown. The main goal of the current study was to answer t...

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Autores principales: Xu, Chunmiao, Yuan, Junhui, Kang, Liuqing, Zhang, Xiaoxian, Wang, Lifeng, Chen, Xuejun, Yao, Qi, Li, Hailiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070144/
https://www.ncbi.nlm.nih.gov/pubmed/32170092
http://dx.doi.org/10.1038/s41598-020-61474-5
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author Xu, Chunmiao
Yuan, Junhui
Kang, Liuqing
Zhang, Xiaoxian
Wang, Lifeng
Chen, Xuejun
Yao, Qi
Li, Hailiang
author_facet Xu, Chunmiao
Yuan, Junhui
Kang, Liuqing
Zhang, Xiaoxian
Wang, Lifeng
Chen, Xuejun
Yao, Qi
Li, Hailiang
author_sort Xu, Chunmiao
collection PubMed
description Depth of invasion (DOI) can be calculated preoperatively by MRI, and whether MRI-determined DOI can predict prognosis as well as whether it can be used as an indicator of neck dissection in cT1N0 tongue squamous cell carcinoma (SCC) remains unknown. The main goal of the current study was to answer these unknowns. A total of 151 patients with surgically treated cT1N0 tongue SCC were retrospectively enrolled, and MRI-determined DOI was measured based on T1-weighted layers with a 3.0T scan. The Chi-square test was used to evaluate the association between clinical pathologic variables and neck lymph node metastasis, and the factors that were significant in the Chi-square test were then analyzed in a multivariate logistic regression analysis model to determine the independent predictors. The main study endpoints were locoregional control (LRC) and disease-specific survival (DSS), and the Kaplan-Meier method (log-rank test) was used to calculate the LRC and DSS rates. The factors that were significant in univariate analysis were then analyzed in the Cox model to determine the independent prognostic factors. A value of p < 0.05 was considered significant, and all statistical analyses were performed with SPSS 20.0. Occult neck lymph node metastasis was noted in 26 (17.2%) patients, and the ROC curve indicated that the optimal cutoff value of MRI-determined DOI was 7.5 mm for predicting neck lymph node metastasis, with a sensitivity of 86.9%. The factors of lymphovascular invasion, MRI-determined DOI, pathologic DOI, and pathologic tumor grade were significantly associated with the presence of neck lymph node metastasis in univariate analysis, and further logistic regression analysis confirmed the independence of lymphovascular invasion, MRI-determined DOI, and pathologic DOI in predicting neck lymph node metastasis. The 5-year LRC and DSS rates were 84% and 90%, respectively. Cox model analysis suggested the MRI-determined DOI was an independent prognostic factor for both LRC and DSS. Therefore, elective neck dissection is suggested if MRI-determined DOI is greater than 7.5 mm in cT1N0 tongue SCC, and MRI-determined DOI ≥ 7.5 mm indicates additional risk for disease recurrence and cancer-related death.
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spelling pubmed-70701442020-03-22 Significance of depth of invasion determined by MRI in cT1N0 tongue squamous cell carcinoma Xu, Chunmiao Yuan, Junhui Kang, Liuqing Zhang, Xiaoxian Wang, Lifeng Chen, Xuejun Yao, Qi Li, Hailiang Sci Rep Article Depth of invasion (DOI) can be calculated preoperatively by MRI, and whether MRI-determined DOI can predict prognosis as well as whether it can be used as an indicator of neck dissection in cT1N0 tongue squamous cell carcinoma (SCC) remains unknown. The main goal of the current study was to answer these unknowns. A total of 151 patients with surgically treated cT1N0 tongue SCC were retrospectively enrolled, and MRI-determined DOI was measured based on T1-weighted layers with a 3.0T scan. The Chi-square test was used to evaluate the association between clinical pathologic variables and neck lymph node metastasis, and the factors that were significant in the Chi-square test were then analyzed in a multivariate logistic regression analysis model to determine the independent predictors. The main study endpoints were locoregional control (LRC) and disease-specific survival (DSS), and the Kaplan-Meier method (log-rank test) was used to calculate the LRC and DSS rates. The factors that were significant in univariate analysis were then analyzed in the Cox model to determine the independent prognostic factors. A value of p < 0.05 was considered significant, and all statistical analyses were performed with SPSS 20.0. Occult neck lymph node metastasis was noted in 26 (17.2%) patients, and the ROC curve indicated that the optimal cutoff value of MRI-determined DOI was 7.5 mm for predicting neck lymph node metastasis, with a sensitivity of 86.9%. The factors of lymphovascular invasion, MRI-determined DOI, pathologic DOI, and pathologic tumor grade were significantly associated with the presence of neck lymph node metastasis in univariate analysis, and further logistic regression analysis confirmed the independence of lymphovascular invasion, MRI-determined DOI, and pathologic DOI in predicting neck lymph node metastasis. The 5-year LRC and DSS rates were 84% and 90%, respectively. Cox model analysis suggested the MRI-determined DOI was an independent prognostic factor for both LRC and DSS. Therefore, elective neck dissection is suggested if MRI-determined DOI is greater than 7.5 mm in cT1N0 tongue SCC, and MRI-determined DOI ≥ 7.5 mm indicates additional risk for disease recurrence and cancer-related death. Nature Publishing Group UK 2020-03-13 /pmc/articles/PMC7070144/ /pubmed/32170092 http://dx.doi.org/10.1038/s41598-020-61474-5 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xu, Chunmiao
Yuan, Junhui
Kang, Liuqing
Zhang, Xiaoxian
Wang, Lifeng
Chen, Xuejun
Yao, Qi
Li, Hailiang
Significance of depth of invasion determined by MRI in cT1N0 tongue squamous cell carcinoma
title Significance of depth of invasion determined by MRI in cT1N0 tongue squamous cell carcinoma
title_full Significance of depth of invasion determined by MRI in cT1N0 tongue squamous cell carcinoma
title_fullStr Significance of depth of invasion determined by MRI in cT1N0 tongue squamous cell carcinoma
title_full_unstemmed Significance of depth of invasion determined by MRI in cT1N0 tongue squamous cell carcinoma
title_short Significance of depth of invasion determined by MRI in cT1N0 tongue squamous cell carcinoma
title_sort significance of depth of invasion determined by mri in ct1n0 tongue squamous cell carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070144/
https://www.ncbi.nlm.nih.gov/pubmed/32170092
http://dx.doi.org/10.1038/s41598-020-61474-5
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