Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography
ObjectivesTo 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...
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| Format: | Article |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.904471/full |
| _version_ | 1828833643835949056 |
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| author | Xieqing Yang Huijun Hu Fang Zhang Fang Zhang Dongye Li Zehong Yang Zehong Yang Guangzi Shi Guangzi Shi Guoxiong Lu Yusong Jiang Lingjie Yang Yu Wang Xiaohui Duan Xiaohui Duan Jun Shen Jun Shen |
| author_facet | Xieqing Yang Huijun Hu Fang Zhang Fang Zhang Dongye Li Zehong Yang Zehong Yang Guangzi Shi Guangzi Shi Guoxiong Lu Yusong Jiang Lingjie Yang Yu Wang Xiaohui Duan Xiaohui Duan Jun Shen Jun Shen |
| author_sort | Xieqing Yang |
| collection | DOAJ |
| description | ObjectivesTo 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).MethodsBetween 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 [λHu], normalized iodine concentration [nIC], normalized effective atomic number [nZeff], 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).ResultsλHu and nIC in AP and λHu, nZeff, and nIC in VP were significantly lower in stage III–IV lesions than in stage I–II lesions (p < 0.001 to 0.024). λHu 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. λHu 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. λHu and nIC in VP were lower in OTSCCs with lymph node metastasis than those without metastasis (p < 0.001 to 0.005). λHu 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.ConclusionDECT can be a complementary means for the preoperative prediction of the aggressiveness of OTSCC. |
| first_indexed | 2024-12-12T17:23:53Z |
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| language | English |
| last_indexed | 2024-12-12T17:23:53Z |
| publishDate | 2022-06-01 |
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| series | Frontiers in Oncology |
| spelling | doaj.art-a31f3b3f27334ea19b5aa42fdf0e40052022-12-22T00:17:35ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-06-011210.3389/fonc.2022.904471904471Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed TomographyXieqing Yang0Huijun Hu1Fang Zhang2Fang Zhang3Dongye Li4Zehong Yang5Zehong Yang6Guangzi Shi7Guangzi Shi8Guoxiong Lu9Yusong Jiang10Lingjie Yang11Yu Wang12Xiaohui Duan13Xiaohui Duan14Jun Shen15Jun Shen16Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, ChinaObjectivesTo 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).MethodsBetween 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 [λHu], normalized iodine concentration [nIC], normalized effective atomic number [nZeff], 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).ResultsλHu and nIC in AP and λHu, nZeff, and nIC in VP were significantly lower in stage III–IV lesions than in stage I–II lesions (p < 0.001 to 0.024). λHu 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. λHu 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. λHu and nIC in VP were lower in OTSCCs with lymph node metastasis than those without metastasis (p < 0.001 to 0.005). λHu 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.ConclusionDECT can be a complementary means for the preoperative prediction of the aggressiveness of OTSCC.https://www.frontiersin.org/articles/10.3389/fonc.2022.904471/fullOral tongue squamous cell carcinomaDual-energy CTAggressivenesspathologic stageshistologic differentiationlymph node status |
| spellingShingle | Xieqing Yang Huijun Hu Fang Zhang Fang Zhang Dongye Li Zehong Yang Zehong Yang Guangzi Shi Guangzi Shi Guoxiong Lu Yusong Jiang Lingjie Yang Yu Wang Xiaohui Duan Xiaohui Duan Jun Shen Jun Shen Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography Frontiers in Oncology Oral tongue squamous cell carcinoma Dual-energy CT Aggressiveness pathologic stages histologic differentiation lymph node status |
| 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 | Oral tongue squamous cell carcinoma Dual-energy CT Aggressiveness pathologic stages histologic differentiation lymph node status |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.904471/full |
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