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Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography
OBJECTIVES: To determine whether quantitative parameters derived from dual-energy computed tomography (DECT) were predictive of the aggressiveness of oral tongue squamous cell carcinoma (OTSCC) including the pathologic stages, histologic differentiation, lymph node status, and perineural invasion (P...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260668/ https://www.ncbi.nlm.nih.gov/pubmed/35814448 http://dx.doi.org/10.3389/fonc.2022.904471 |
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author | Yang, Xieqing Hu, Huijun Zhang, Fang Li, Dongye Yang, Zehong Shi, Guangzi Lu, Guoxiong Jiang, Yusong Yang, Lingjie Wang, Yu Duan, Xiaohui Shen, Jun |
author_facet | Yang, Xieqing Hu, Huijun Zhang, Fang Li, Dongye Yang, Zehong Shi, Guangzi Lu, Guoxiong Jiang, Yusong Yang, Lingjie Wang, Yu Duan, Xiaohui Shen, Jun |
author_sort | Yang, Xieqing |
collection | PubMed |
description | OBJECTIVES: To determine whether quantitative parameters derived from dual-energy computed tomography (DECT) were predictive of the aggressiveness of oral tongue squamous cell carcinoma (OTSCC) including the pathologic stages, histologic differentiation, lymph node status, and perineural invasion (PNI). METHODS: Between August 2019 and March 2021, 93 patients (mean age, 54.6 ± 13.8 years; 66 men) with pathologically diagnosed OTSCC were enrolled in this prospective study. Preoperative DECT was performed and quantitative parameters (e.g., slope of the spectral Hounsfield unit curve [λ(Hu)], normalized iodine concentration [nIC], normalized effective atomic number [nZ(eff)], and normalized electron density [nRho]) were measured on arterial phase (AP) and venous phase (VP) DECT imaging. Quantitative parameters from DECT were compared between patients with different pathologic stages, histologic differentiation, lymph node statuses, and perineural invasion statuses. Logistic regression analysis was utilized to assess independent parameters and the diagnostic performance was analyzed by the receiver operating characteristic curves (ROC). RESULTS: λ(Hu) and nIC in AP and λ(Hu), nZ(eff), and nIC in VP were significantly lower in stage III–IV lesions than in stage I–II lesions (p < 0.001 to 0.024). λ(Hu) in VP was an independent predictor of tumor stage with an odds ratio (OR) of 0.29, and area under the curve (AUC) of 0.80. λ(Hu) and nIC were higher in well-differentiated lesions than in poorly differentiated lesions (p < 0.001 to 0.021). The nIC in VP was an independent predictor of histologic differentiation with OR of 0.31, and AUC of 0.78. λ(Hu) and nIC in VP were lower in OTSCCs with lymph node metastasis than those without metastasis (p < 0.001 to 0.005). λ(Hu) in VP was the independent predictor of lymph node status with OR of 0.42, and AUC of 0.74. No significant difference was found between OTSCCs without PNI and those with PNI in terms of the quantitative DECT parameters. CONCLUSION: DECT can be a complementary means for the preoperative prediction of the aggressiveness of OTSCC. |
format | Online Article Text |
id | pubmed-9260668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92606682022-07-08 Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography Yang, Xieqing Hu, Huijun Zhang, Fang Li, Dongye Yang, Zehong Shi, Guangzi Lu, Guoxiong Jiang, Yusong Yang, Lingjie Wang, Yu Duan, Xiaohui Shen, Jun Front Oncol Oncology OBJECTIVES: To determine whether quantitative parameters derived from dual-energy computed tomography (DECT) were predictive of the aggressiveness of oral tongue squamous cell carcinoma (OTSCC) including the pathologic stages, histologic differentiation, lymph node status, and perineural invasion (PNI). METHODS: Between August 2019 and March 2021, 93 patients (mean age, 54.6 ± 13.8 years; 66 men) with pathologically diagnosed OTSCC were enrolled in this prospective study. Preoperative DECT was performed and quantitative parameters (e.g., slope of the spectral Hounsfield unit curve [λ(Hu)], normalized iodine concentration [nIC], normalized effective atomic number [nZ(eff)], and normalized electron density [nRho]) were measured on arterial phase (AP) and venous phase (VP) DECT imaging. Quantitative parameters from DECT were compared between patients with different pathologic stages, histologic differentiation, lymph node statuses, and perineural invasion statuses. Logistic regression analysis was utilized to assess independent parameters and the diagnostic performance was analyzed by the receiver operating characteristic curves (ROC). RESULTS: λ(Hu) and nIC in AP and λ(Hu), nZ(eff), and nIC in VP were significantly lower in stage III–IV lesions than in stage I–II lesions (p < 0.001 to 0.024). λ(Hu) in VP was an independent predictor of tumor stage with an odds ratio (OR) of 0.29, and area under the curve (AUC) of 0.80. λ(Hu) and nIC were higher in well-differentiated lesions than in poorly differentiated lesions (p < 0.001 to 0.021). The nIC in VP was an independent predictor of histologic differentiation with OR of 0.31, and AUC of 0.78. λ(Hu) and nIC in VP were lower in OTSCCs with lymph node metastasis than those without metastasis (p < 0.001 to 0.005). λ(Hu) in VP was the independent predictor of lymph node status with OR of 0.42, and AUC of 0.74. No significant difference was found between OTSCCs without PNI and those with PNI in terms of the quantitative DECT parameters. CONCLUSION: DECT can be a complementary means for the preoperative prediction of the aggressiveness of OTSCC. Frontiers Media S.A. 2022-06-23 /pmc/articles/PMC9260668/ /pubmed/35814448 http://dx.doi.org/10.3389/fonc.2022.904471 Text en Copyright © 2022 Yang, Hu, Zhang, Li, Yang, Shi, Lu, Jiang, Yang, Wang, Duan and Shen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Yang, Xieqing Hu, Huijun Zhang, Fang Li, Dongye Yang, Zehong Shi, Guangzi Lu, Guoxiong Jiang, Yusong Yang, Lingjie Wang, Yu Duan, Xiaohui Shen, Jun Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography |
title | Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography |
title_full | Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography |
title_fullStr | Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography |
title_full_unstemmed | Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography |
title_short | Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography |
title_sort | preoperative prediction of the aggressiveness of oral tongue squamous cell carcinoma with quantitative parameters from dual-energy computed tomography |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260668/ https://www.ncbi.nlm.nih.gov/pubmed/35814448 http://dx.doi.org/10.3389/fonc.2022.904471 |
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