Predictive factors for central lymph node and lateral cervical lymph node metastases in papillary thyroid carcinoma

Feng, Jia-Wei; Yang, Xinghai; Wu, Bingcheng; Sun, Donglin; Jiang, Yong; Qu, Zhen

doi:10.1007/s12094-019-02076-0

Cited by 64 publications

(80 citation statements)

References 31 publications

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“…Based on previous findings, the extensively studied clinical risk factors (including age, gender, TSH, TG, TGAB, and TPOAB) were investigated in the present study ( 48 – 54 ). Among them, age and TG showed high predictive potential in both univariate ( P = 0.000 and 0.008, respectively) and multivariate analyses ( P = 0.000 and 0.017, respectively) and therefore included for the establishment of model.…”

Section: Discussionmentioning

confidence: 99%

“…This score combined with a series of previously reported clinical risk factors was used to construct a model for the prediction of central cervical LN metastases in PTC patients. Based on previous findings, the extensively studied clinical risk factors (including age, gender, TSH, TG, TGAB, and TPOAB) were investigated in the present study (48)(49)(50)(51)(52)(53)(54). Among them, age and TG showed high predictive potential in both univariate (P = 0.000 and 0.008, respectively) and multivariate analyses (P = 0.000 and 0.017, respectively) and therefore included for the establishment of model.…”

Section: Figure 1 |mentioning

confidence: 94%

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An Ultrasound Radiomics Nomogram for Preoperative Prediction of Central Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma

et al. 2020

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This study aimed to establish and validate an ultrasound radiomics nomogram for the preoperative prediction of central lymph node (LN) metastasis in patients with papillary thyroid carcinoma (PTC). Patients and Methods: The prediction model was developed in 609 patients with clinicopathologically confirmed unifocal PTC who received ultrasonography between Jan 2018 and June 2018. Radiomic features were extracted after the ultrasonography of PTC. Lasso regression model was used for data dimensionality reduction, feature selection, and radiomics signature building. The predicting model was established based on the multivariable logistic regression analysis in which the radiomics signature, ultrasonography-reported LN status, and independent clinicopathologic risk factors were incorporated, and finally a radiomics nomogram was established. The performance of the nomogram was assessed with respect to the discrimination and consistence. An independent validation was performed in 326 consecutive patients from July 2018 to Sep 2018. Results: The radiomics signature consisted of 23 selected features and was significantly associated with LN status in both primary and validation cohorts. The independent predictors in the radiomics nomogram included the radiomics signature, age, TG level, TPOAB level, and ultrasonography-reported LN status. The model showed good discrimination and consistence in both cohorts: C-index of 0.816 (95% CI, 0.808-0.824) in the primary cohort and 0.858 (95% CI, 0.849-0.867) in the validation cohort. The area under receiver operating curve was 0.858. In the validation cohort, the accuracy, sensitivity, specificity and AUC of this model were 0.812, 0.816, 0.810, and 0.858 (95% CI, 0.785-0.930), respectively. Decision curve analysis indicated the radiomics nomogram was clinically useful. Conclusion: This study presents a convenient, clinically useful ultrasound radiomics nomogram that can be used for the pre-operative individualized prediction of central LN metastasis in patients with PTC.

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Section: Discussionmentioning

confidence: 99%

Section: Figure 1 |mentioning

confidence: 94%

An Ultrasound Radiomics Nomogram for Preoperative Prediction of Central Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma

et al. 2020

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“…A retrospective chart review reported only 38% sensitivity of high-resolution ultrasound for predicting lymph node metastasis in papillary thyroid carcinoma (6). Japanese Society of Thyroid Surgeons (JSTS) (7) and Chinese Society of Clinical Oncology (CSCO) (8) guidelines suggested prophylactic lymph node resection to overcome complications regarding reoperations (8,9) but it is controversial in patients with papillary thyroid microcarcinoma (10) because of no evidence that rates of recurrence are decreased with this prophylactic lymph node resection (11). A retrospectively studies reported that lymph node metastasis frequency is higher in multifocal papillary thyroid microcarcinoma with higher sized nodules (1,5,10).…”

Section: Introductionmentioning

confidence: 99%

Association of sonographic features and clinicopathologic factors of papillary thyroid microcarcinoma for prevalence of lymph node metastasis: a retrospective analysis

Zou

Zhou

2020

Archives of Endocrinology and Metabolism

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Objective: The objective of the study was to develop an association between clinicopathologic and sonographic features of patients with papillary thyroid microcarcinoma and the prevalence of lymph node metastasis. Subjects and methods: Clinicopathologic and sonographic features of 415 patients of papillary thyroid microcarcinoma with (n = 102) or without (n = 313) lymph node metastasis were retrospectively reviewed. The thickness of the lymph node ≥ 6 mm with intra-lymph nodal occupying lesions considered lymph node metastasis. Also, it was considered metastasis if lymph node perfusion or blood flow defect was found with any thickness size. Univariate following multivariate analysis was performed for the prediction of sonographic features and clinicopathologic factors for the prevalence of lymph node metastasis. Results: Male gender (p = 0.041), age < 45 years (p = 0.042), preoperative calcitonin > 65 pg/ mL (p = 0.039), nodule size > 5 mm in diameter (p = 0.038), bilaterality (p = 0.038), tumor capsular invasion (p = 0.048), cystic change (p = 0.047), and hyper vascularity (p = 0.049) of thyroid nodules were associated with lymph node metastasis. Also, thyroid nodules 5 mm and more in diameter may have high aggressiveness. Conclusion: These data helped the surgeon for individualized treatment in thyroid carcinoma and avoid unnecessary prophylactic surgery of the lymph node.

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“…Thyroid papillary cancer is the most common of thyroid cancers, and papillary microcarcinoma of less than 1cm are low risk of metastasis and sometimes observation is recommended without immediate surgery [33]. However, if the size of the thyroid papillary cancer is more than 1cm, the possibility of lymph node metastasis increases [34]. Patients with tumor size greater than 1 cm had a higher rate of online health community participation, possibly due to the belief that their disease was more serious and frightening than those with tumor size less than 1 cm.…”

Section: Discussionmentioning

confidence: 99%

Factors affecting online health community participation behavior in patients with thyroid cancer

Park

Eum

et al. 2020

PLoS ONE

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Globally, cancer patients obtain much of their disease information online. Online health communities allow patients to share questions and information about diseases. However, there have been few studies on the factors affecting online health community participation behavior in cancer patients. Online social networking is associated with mental health problems, and patients with thyroid cancer experience high levels of distress, anxiety and depression. The purpose of this study was to investigate factors associated with use of online health communities by patients with thyroid cancer to understand the characteristics of patients participating in such online communities. A questionnaire survey was completed by 114 thyroid cancer patients admitted for surgery at a general hospital in Seoul, Korea. General characteristics, clinical characteristics, attitude toward cancer, distress, and anxiety and depression scores of patients who joined an online health community (user group) and patients who did not (non-user group) were compared. The factors affecting online health community participation were education (p = 0.049), tumor size (p = 0.010), attitude toward cancer (p = 0.022), and anxiety and depression (p = 0.021). The average score of satisfaction with the online health community was 4.25 of 5. The user group had larger tumors, a high awareness of the risk of thyroid cancer, and high levels of anxiety and depression. Patients who actively used the online health community have relatively larger cancer size and had higher levels of mental stress. As such patients are often very anxious and depend heavily on the gathered information, the quality of this information is important. Healthcare professionals need to develop appropriate interventions for patients participating in the online health community.

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Predictive factors for central lymph node and lateral cervical lymph node metastases in papillary thyroid carcinoma

Cited by 64 publications

References 31 publications

An Ultrasound Radiomics Nomogram for Preoperative Prediction of Central Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma

An Ultrasound Radiomics Nomogram for Preoperative Prediction of Central Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma

Association of sonographic features and clinicopathologic factors of papillary thyroid microcarcinoma for prevalence of lymph node metastasis: a retrospective analysis

Factors affecting online health community participation behavior in patients with thyroid cancer

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