A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid Carcinoma
BackgroundThyroid carcinoma is one of the most common endocrine tumors, and papillary thyroid carcinoma (PTC) is the most common pathological type. Current studies have reported that PTC has a strong propensity for central lymph node metastases (CLNMs). Whether to prophylactically dissect the centra...
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2022.856278/full |
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| author | Zipeng Wang Qungang Chang Hanyin Zhang Gongbo Du Shuo Li Yihao Liu Hanlin Sun Detao Yin Detao Yin Detao Yin |
| author_facet | Zipeng Wang Qungang Chang Hanyin Zhang Gongbo Du Shuo Li Yihao Liu Hanlin Sun Detao Yin Detao Yin Detao Yin |
| author_sort | Zipeng Wang |
| collection | DOAJ |
| description | BackgroundThyroid carcinoma is one of the most common endocrine tumors, and papillary thyroid carcinoma (PTC) is the most common pathological type. Current studies have reported that PTC has a strong propensity for central lymph node metastases (CLNMs). Whether to prophylactically dissect the central lymph nodes in PTC remains controversial. This study aimed to explore the risk factors and develop a predictive model of CLNM in PTC.MethodsA total of 2,554 patients were enrolled in this study. The basic information, laboratory examination, characteristics of cervical ultrasound, genetic test, and pathological diagnosis were collected. The collected data were analyzed by univariate logistic analysis and multivariate logistic analysis. The risk factors were evaluated, and the predictive model was constructed of CLNM.ResultsThe multivariate logistic analysis showed that Age (p < 0.001), Gender (p < 0.001), Multifocality (p < 0.001), BRAF (p = 0.027), and Tumor size (p < 0.001) were associated with CLNM. The receiver operating characteristic curve (ROC curve) showed high efficiency with an area under the ROC (AUC) of 0.781 in the training group. The calibration curve and the calibration of the model were evaluated. The decision curve analysis (DCA) for the nomogram showed that the nomogram can provide benefits in this study.ConclusionThe predictive model of CLNM constructed and visualized based on the evaluated risk factors was confirmed to be a practical and convenient tool for clinicians to predict the CLNM in PTC. |
| first_indexed | 2024-12-12T10:43:00Z |
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| language | English |
| last_indexed | 2024-12-12T10:43:00Z |
| publishDate | 2022-06-01 |
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| series | Frontiers in Endocrinology |
| spelling | doaj.art-652c33b9ba3d494da7498307920d08dc2022-12-22T00:26:58ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-06-011310.3389/fendo.2022.856278856278A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid CarcinomaZipeng Wang0Qungang Chang1Hanyin Zhang2Gongbo Du3Shuo Li4Yihao Liu5Hanlin Sun6Detao Yin7Detao Yin8Detao Yin9Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Dermatology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaEngineering Research Center of Multidisciplinary Diagnosis and Treatment of Thyroid Cancer of Henan Province, Zhengzhou, ChinaKey Medicine Laboratory of Thyroid Cancer of Henan Province, Zhengzhou, ChinaBackgroundThyroid carcinoma is one of the most common endocrine tumors, and papillary thyroid carcinoma (PTC) is the most common pathological type. Current studies have reported that PTC has a strong propensity for central lymph node metastases (CLNMs). Whether to prophylactically dissect the central lymph nodes in PTC remains controversial. This study aimed to explore the risk factors and develop a predictive model of CLNM in PTC.MethodsA total of 2,554 patients were enrolled in this study. The basic information, laboratory examination, characteristics of cervical ultrasound, genetic test, and pathological diagnosis were collected. The collected data were analyzed by univariate logistic analysis and multivariate logistic analysis. The risk factors were evaluated, and the predictive model was constructed of CLNM.ResultsThe multivariate logistic analysis showed that Age (p < 0.001), Gender (p < 0.001), Multifocality (p < 0.001), BRAF (p = 0.027), and Tumor size (p < 0.001) were associated with CLNM. The receiver operating characteristic curve (ROC curve) showed high efficiency with an area under the ROC (AUC) of 0.781 in the training group. The calibration curve and the calibration of the model were evaluated. The decision curve analysis (DCA) for the nomogram showed that the nomogram can provide benefits in this study.ConclusionThe predictive model of CLNM constructed and visualized based on the evaluated risk factors was confirmed to be a practical and convenient tool for clinicians to predict the CLNM in PTC.https://www.frontiersin.org/articles/10.3389/fendo.2022.856278/fullpapillary thyroid carcinoma (PTC)predictive modelcentral lymph node metastasis (CLNM)nomogramrisk factors |
| spellingShingle | Zipeng Wang Qungang Chang Hanyin Zhang Gongbo Du Shuo Li Yihao Liu Hanlin Sun Detao Yin Detao Yin Detao Yin A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid Carcinoma Frontiers in Endocrinology papillary thyroid carcinoma (PTC) predictive model central lymph node metastasis (CLNM) nomogram risk factors |
| title | A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid Carcinoma |
| title_full | A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid Carcinoma |
| title_fullStr | A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid Carcinoma |
| title_full_unstemmed | A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid Carcinoma |
| title_short | A Clinical Predictive Model of Central Lymph Node Metastases in Papillary Thyroid Carcinoma |
| title_sort | clinical predictive model of central lymph node metastases in papillary thyroid carcinoma |
| topic | papillary thyroid carcinoma (PTC) predictive model central lymph node metastasis (CLNM) nomogram risk factors |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2022.856278/full |
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