[Risk factors of skip lateral cervical lymph node metastasis in papillary thyroid carcinoma]

Analysis of risk factors for lymph node metastasis in 241 patients with thyroid carcinoma and establishment of a prediction model

This study aimed to identify risk factors for cervical lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) and develop a clinical prediction model. Retrospectively, data were collected from 348 PTC patients treated at the Second Affiliated Hospital of Nanchang University between January 2019 and December 2022, with 241 patients included in the final analyses. Patients with lateral cervical LNM were categorized into a metastasis group, and those without were in a non-metastasis group. The patients were divided into a training set (n=169) and a validation set (n=72) in a 7:3 ratio. Logistic and least absolute shrinkage and selection operator (LASSO) regression models were used to identify key factors associated with lateral cervical LNM and prognosis, enabling the construction of a predictive model. The model's validity was assessed via the Hosmer-Lemeshow Test, calibration curves, ROC curves, and decision curve analysis. The metastasis group exhibited higher proportions of males, multiple lesions, bilateral involvement, tumor diameter ≥1 cm, and elevated levels of PLR, LMR, and NLR (P<0.05). Logistic regression analysis revealed that gender, multiple lesions, affected side, and tumor diameter were associated with lateral cervical LNM (P<0.05). The predictive Nomogram model, which included factors like affected side, tumor diameter, capsular invasion, central LNM, PLR, and NLR, demonstrated strong predictive accuracy and clinical utility. Thus, this study provides a practical clinical tool through an accurate Nomogram model to assess lateral cervical LNM risk in PTC patients using logistic and LASSO regression analyses.

[Correlation between preoperative platelet parameters and clinicopathological features of differentiated thyroid cancer]

Objective:To investigate the correlation between preoperative platelet parameters and the clinicopathological features of differentiated thyroid cancer. Methods:We retrospectively analyzed the medical records of patients with thyroid tumors admitted to Zhongda Hospital affiliated to Southeast University and healthy adults with normal physical examination results in our hospital from January 2019 to December 2020, and collected their general information and preoperative blood routine data. Patients with undifferentiated thyroid cancer, diabetes, coronary heart disease, hematological diseases, kidney diseases, autoimmune diseases, genetic diseases, infectious diseases, other systemic tumors, hepatitis or cirrhosis, or those taking anticoagulants were excluded. The exclusion criteria for healthy adults were the absence of the above diseases and normal physical examination results. Differences in platelet parameters among the three groups were compared, and the correlation between clinicopathological characteristics of thyroid cancer, accompanying cervical lymph node metastasis, and platelet parameters of patients was analyzed. A multivariate logistic regression model was used to analyze the risk factors of thyroid cancer with cervical lymph node metastasis. Results:A total of 117 cases of differentiated thyroid cancer were collected, including 33 males and 84 females, with an average age of （41.64±12.25） years; 46 patients had benign thyroid tumors, including 15 males and 31 females, with an average age of （41.35±12.52） years; 50 healthy adults with normal physical examination results in our hospital during the same period were also included, including 18 males and 32 females, with an average age of（42.02±9.62） years, without underlying diseases. The platelet count of the differentiated thyroid cancer group was higher than that of the benign thyroid tumor group（t=-2.219, P=0.028） and the normal control group（t=2.069, P=0.04）, while the platelet distribution width of the differentiated thyroid cancer group was lower than that of the benign thyroid tumor group（t=2.238, P=0.027） and the normal control group（t=-2.618, P=0.002）. These differences were statistically significant. Preoperative age ≤45 years（χ²=4.225, P=0.04）, tumor diameter>1 cm（χ²=4.415, P=0.036）, PLT（t=-4.018, P<0.01） increase, and PDW（t=4.568, P<0.01） decrease were significantly correlated with cervical lymph node metastasis of thyroid cancer and had statistical significance. Univariate analysis showed that age ≤45 years（OR=0.447, 95%CI 0.206-0.970, P=0.042）, tumor diameter>1 cm（OR=2.3, 95%CI 1.050-5.039, P=0.037）, PLT（OR=1.012, 95%CI 1.005-1.019, P=0.001）, and PDW（OR=0.693, 95%CI 0.518-0.827, P<0.01） were risk factors for cervical lymph node metastasis of thyroid cancer. The results of multifactorial logistic regression analysis showed that PLT（OR=1.008, 95%CI 1.001-1.016, P=0.026） and PDW（OR=0.692, 95%CI 0.564-0.848, P<0.01） were independent risk factors for thyroid cancer with cervical lymph node metastasis. Conclusion:PLT and PDW may be useful predictive factors for the differentiation of thyroid cancer malignancy and central lymph node metastasis.