Central Lymph Node Metastasis Research Articles

Risk factors for central lymph node metastasis in the cervical region in papillary thyroid carcinoma: a retrospective study

BackgroundTo investigate the influence of different risk factors on central lymph node metastasis (CLNM) in the cervical region in patients with papillary thyroid carcinoma (PTC).MethodsThis retrospective study included 2586 PTC patients. Potential risk factors were identified by univariate analysis, and the relationships between these factors and CLNM were ascertained by multivariable analysis. A scoring system was constructed, and the optimal cut-off value was determined.ResultsOn univariate analysis, sex, age, tumor diameter, multifocality, capsule invasion, vascular invasion, total number of lymph nodes in the central region, and serum thyroid peroxidase antibody (TPOAb) concentration were identified as potential risk factors for CLNM in the cervical region, whereas nerve invasion, thyroid-stimulating hormone concentration, and thyroglobulin antibody (TgAb) concentration were not. Multivariable analysis indicated that male sex, young age, large tumor diameter, multifocality, vascular invasion, a large number of central lymph nodes, and a low TPOAb concentration were significant risk factors. From these factors, a preoperative CLNM risk assessment scale was constructed for predicting CLNM in the cervical region for PTC patients.ConclusionMale sex, young age, large tumor diameter, multifocality, vascular invasion, a large number of central lymph nodes, and a low TPOAb concentration were positively correlated with CLNM in the cervical region in PTC patients. The preoperative CLNM risk assessment scale based on these risk factors is expected to offer accurate preoperative assessment of central lymph node status in PTC patients.

A Nomogram Based on Clinical and Ultrasound Characteristics to Predict Central Lymph Node Metastasis of Papillary Thyroid Carcinoma.

BackgroundThe status of lymph nodes in the central compartment is crucial to determining the surgical strategies for papillary thyroid carcinoma (PTC). We aimed to develop a nomogram for predicting central lymph node metastasis (CLNM).MethodsA total of 886 PTC patients who underwent total thyroidectomy or lobectomy with central neck dissection (CND) from July 2019 to June 2020 were retrospectively retrieved. Clinical and ultrasound features were collected. Univariate and multivariate analysis were performed to determine risk factors of CLNM. A nomogram for predicting CLNM was developed, internal and external calibration was performed for the established model.ResultsVariables (sex, chronic lymphocytic thyroiditis, tumor size, the number of foci, tumor location, margin) significantly associated with CLNM were included in the nomogram. The nomogram showed excellent calibration in the training group and validation group, with area under curves of 0.806 (95% CI, 0.771 to 0.825), and 0.799 (95% CI, 0.778–0.813) respectively.ConclusionThrough this accurate and easy-to-use nomogram, the possibility of CLNM can be objectively quantified preoperatively. Clinicians can use this nomogram to evaluate the status of lymph nodes in PTC patients and consider prophylactic CND for those with high scores.

Risk Factor of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma

Background: This study's goals were to assess the cervical central lymph node status and predictive value of SLN biopsy during operate and to identify clinic pathological factors, that were used to be independent predictors for analyzed central lymph node metastasis in papillary thyroid carcinoma. Study design: This was a cross-sectional study conducted at Sahara Medical College, Narowal for the duration of six months, from July 2022 to December 2022. Methods: The total N=300 people participated in this study. The participants were split into two groups: positive for cervical central lymph nodes CCLN (n = 210) and negative for cervical central lymph nodes CCLN (n = 90). In cases with positive SLNB, the positive sentinel lymph node ratio and additional positive lymph node (APLN) were examined. Investigators looked into SLNB's effectiveness. Results: The age range was 24-40 years in which cervical central lymph node case was (57%); p=0.002**. The maximum diameter of tumor (98%) was 3-4 cm show significantly P<0.05. The multiple focus included unilateral (18.3%) and bilateral region (82%) show significant changes P<0.05. According to the tumor locations, the positive case of central lymph node were as following; lower area (20%), middle area (53.3%) and upper area (27%) the difference were significant (p<0.05). The metastatic rate of lymph node was related to SLN (67%) and CCLNM (46%). APLN positive show additional lymph node on cancerous participants. The evaluation of CNM and APLN using the sensitivity, specificity, false positive rates, positive predictive value, and negative predictive value of SLNB. Conclusion: In participants with positive case reports, age, sex, tumour size, location, extra thyroidal invasion, and capsule involvement were independent risk factors for CLN metastasis. If a positive SLN could be used to predict the presence of APLN, a theoretical basis for intraoperative lymph node dissection might be offered. Keyword: Metastasis, Tumor size, Multifocality,

Oestrogen receptor alpha in papillary thyroid carcinoma: association with clinical features and BRAFV600E mutation

Papillary thyroid cancer cells can express oestrogen receptor alpha, which is encoded by the ESR1 gene and may bind to oestrogen to induce the occurrence and development of papillary thyroid cancer. The BRAFV600E mutation is also an important biomarker for the occurrence and progression of papillary thyroid cancer. However, the association between the BRAFV600E mutation and oestrogen receptor alpha expression has not been identified. This study aims to investigate the association between ESR1 expression and the BRAFV600E mutation and its clinical significance. Oestrogen receptor alpha and BRAFV600E proteins were detected by immunohistochemical staining of formalin-fixed paraffin-embedded thyroid tissues from 1105 patients with papillary thyroid cancer at our institution. Messenger RNA expression counts of ESR1 and clinicopathologic information were obtained from The Cancer Genome Atlas database. Oestrogen receptor alpha protein expression was significantly associated with BRAFV600E protein. The positive rate of oestrogen receptor alpha protein in papillary thyroid cancer patients was significantly higher in males, younger patients and patients with the multifocal type. In papillary thyroid cancer patients with positive BRAFV600E protein, oestrogen receptor alpha expression was significantly correlated with central lymph node metastasis. Data from the The Cancer Genome Atlas database also suggested that the ESR1 messenger RNA level was associated with the BRAFV600E mutation. Furthermore, classification analysis performed according to a tree-based classification method demonstrated that higher ESR1 messenger RNA expression indicated poorer overall survival in papillary thyroid cancer patients with the BRAFV600E mutation. The percentage of BRAFV600E mutations is increased in patients with higher ESR1 messenger RNA levels, and the BRAFV600E protein might be co-expressed with oestrogen receptor alpha, which could be an indicator of cervical lymph node metastasis and poor overall survival in patients with papillary thyroid cancer.

Predictive factors for prolonged operative time of robotic thyroidectomy via bilateral axillo-breast approach: Analysis of 359 cases of differentiated thyroid cancer

ObjectiveThis study assessed the results of robotic thyroidectomy for differentiated thyroid cancer in early stage, to identify the predictive factors of operative time and complication rate. MethodsA patient cohort of 359 cases in total was involved in this retrospective study. The data of clinical characteristics and follow-up results were collected. ResultsThe cohort of patients involved was composed of 285 female patients and 74 male ones. The mean age was 34.91 ± 7.93 years old. The mean Body Mass Index (BMI) was 22.43 ± 3.47. The mean tumor size was 0.75 ± 0.56 cm, and the mean gland size was 4.68 ± 0.83 cm. Among all the specimen, the ratio of tumor invasion of gland capsule was 63/296, and the ratio of chronic thyroiditis was 110/249. 75 patients underwent total thyroidectomy + central compartment node dissection (CCND). 284 patients underwent Lobectomy + CCND. The ratio of central lymph node metastasis was 144/215 (40.1%). The mean number of lymph node dissected was 5.26 ± 4.09. The mean operative time was 96.53 ± 25.69 min. 21(5.8%) patients had hoarseness after operation. 22(29.3%) patients had hypocalcemia after total thyroidectomy. The inadvertent parathyroidectomy was found in 66(18.4%) cases. The surgical extent (unilateral/bilateral resection), BMI and gland size were found to have a significantly correlation with the operative time (p < 0.05) after multivariate analysis. ConclusionThe surgical extent, BMI and gland size are found to be independent risk factors of prolonged operative time of robotic thyroidectomy. However, these factors are not associated with a higher complication rate.

Value of Combining Clinical Factors, Conventional Ultrasound, and Contrast-Enhanced Ultrasound Features in Preoperative Prediction of Central Lymph Node Metastases of Different Sized Papillary Thyroid Carcinomas.

PurposeEarly and accurate preoperative diagnosis of central lymph node metastasis (CLNM) is crucial to improve surgical management of patients with clinical lymph node-negative papillary thyroid carcinoma (PTC). Towards improving diagnosis of CLNM, we assessed the value of combining preoperative clinical characteristics, conventional ultrasound, and contrast-enhanced ultrasound (CEUS) in preoperative prediction of CLNM of different sized PTCs.Patients and MethodsPatients were divided according to tumor size: a PTC group (>10 mm) and a papillary thyroid microcarcinoma (PTMC) group (≤10 mm). We retrospectively analyzed the clinical and ultrasonographic features of 120 PTC patients and 165 PTMC patients. Multivariate logistic regression analysis was used to screen independent risk factors and establish prediction models. Receiver operating characteristic curves were used to determine the best cut-off values for continuous variables and assess the performance of prediction models.ResultsIndependent risk predictors of CLNM for the PTC group were extrathyroidal extension in CEUS (OR=7.923), tumor size >14 mm (OR=5.491), and multifocality (OR=3.235). For the PTMC group, the independent risk factors were the distance from the thyroid capsule =0 mm (OR=4.629), male (OR=3.315), tumor size >5 mm (OR=3.304), and microcalcification (OR=2.560). The predictive model of combined method had better performance in predicting CLNM of PTC compared with models based on CEUS and conventional ultrasound alone (area under the curve: 0.832 vs 0.739, P=0.0011; 0.832 vs 0.678, P=0.0012). For PTMC, comparing with CEUS, the combined method and conventional ultrasound performed better than CEUS alone in predicting CLNM (area under the curve: 0.783 vs 0.636, P=0.0016; 0.738 vs 0.636, P=0.0196).ConclusionThe predictive models of combined method obtained from significant preoperative clinical and ultrasonographic features can potentially improve the preoperative diagnosis and individual treatment of CLNM in patients with PTC and PTMC. CEUS may be helpful in predicting CLNM of PTC, but CEUS would be ineffective in predicting CLNM of PTMC.

The systemic immune-inflammation index-based model is an effective biomarker on predicting central lymph node metastasis in clinically nodal-negative papillary thyroid carcinoma.

A high proportion of papillary thyroid carcinoma (PTC) patients are involved in central lymph node metastasis (CLNM) with preoperative imaging examinations showing clinically nodal-negative (cN0). Meanwhile, many inflammatory biomarkers are also proven as effective factors to predict the outcomes of cancer patients and tumor progression. Thus, the values of these factors are investigated to help detecting CLNM in cN0 PTC patients. 406 cN0 PTC patients who underwent curative surgery were retrospectively analyzed. CLNM was determined by histopathological examination following the thyroidectomy. Multiple inflammatory biomarkers were comprehensively researched. A total of 406 consecutive patients were eventually included. The univariate and multivariate analyses revealed that age (OR: 0.924, 95% CI: 0.909, 0.940), gender (OR: 1.781, 95% CI: 1.060, 2.993), location of tumors (OR: 2.229, 95% CI: 1.228, 4.046) and level of systemic immune-inflammation index (SII) (OR: 1.005, 95% CI: 1.004, 1.006) were independently associated with CLNM in cN0 PTC patients, and the SII-based predictive model was constructed using these four factors. Receiver operating characteristic (ROC) curves showed significant results of the SII-based predictive model in PTC cohort with area under curve (AUC) as 0.814 (95% CI: 0.771-0.857) and in PTMC subgroup with AUC as 0.803 (95% CI: 0.752-0.854). The SII-based model can effectively help predicting CLNM in both cN0 PTC patients and cN0 PTMC patients.

Diagnostic Model Incorporating Clinicopathological Characteristics of Delphian Lymph Node Metastasis Risk Profiles in Papillary Thyroid Cancer.

The Delphian lymph node (DLN), also known as the prelaryngeal node, is one component of the central lymph node. The DLN has been well studied in laryngeal cancer, although its significance in papillary thyroid cancer (PTC) remains unclear. We retrospectively analyzed 936 patients with PTC who underwent thyroidectomy by a single surgeon in Tianjin Cancer Hospital from 2017 to 2019. Moreover, 250 PTC patients who underwent thyroidectomy by another surgeon in Tianjin Cancer Hospital from January 2019 to April 2019 were used as a validation cohort. Among the 936 patients with PTC, 581 patients (62.1%) had DLNs, of which 177 samples with metastasis (177/581, 30.5%) were verified. DLN metastasis was significantly correlated with sex, age, tumor size, bilateral cancer, multifocality, extrathyroidal extension, lymphovascular invasion and central and lateral neck lymph node metastasis. Multivariate analysis revealed that independent risk factors for DLN metastasis included age, gender, tumor size, extrathyroid extension, lymphovascular invasion and central lymph node metastasis, which determined the nomogram. In particular, tumor size was proven to be one of the most predominant single predictors. The diagnostic model had an area under the curve (AUC) of 0.829 (95% confidence interval, 0.804–0.854). The internal and external validations of the nomogram were 0.819 and 0.745, respectively. Our results demonstrate that DLN metastasis appears to be a critical parameter for predicting metastatic disease of the central compartments. Furthermore, this study provides a precise criterion for assessing DLN metastasis and has great clinical significance for treating PTC.

Sonographic Characteristics of Papillary Thyroid Carcinoma With Coexistent Hashimoto's Thyroiditis in the Preoperative Prediction of Central Lymph Node Metastasis.

The purpose of this study was to evaluate the usefulness of the sonographic characteristics of papillary thyroid carcinoma (PTC) with Hashimoto’s thyroiditis (HT) for predicting central lymph node metastasis (CLNM). One hundred thirty-three patients who underwent thyroidectomy and central cervical lymph node dissection for PTC with coexistent HT were retrospectively analyzed. All PTCs with HT were preoperatively evaluated by ultrasound (US) regarding their nodular number, size, component, shape, margin, echogenicity, calcification, capsule contact with protrusion, vascularity and contrast enhanced ultrasound (CEUS) parameters. Univariate analysis demonstrated that patients with PTCs with HT and CLNM more frequently had age ≤ 45 years, size > 10 mm, a wider than tall shape, microcalcification, hypo-enhancement and peak intensity index < 1 than those without CLNM (all p<0.05). Binary logistic regression analysis demonstrated that size > 10 mm and CEUS hypo-enhancement were independent characteristics for the presence of CLNM. Our study indicated that preoperative US characteristics could offer help in predicting CLNM in PTCs with coexistent HT.

Bilateral multifocality, a marker for aggressive disease, is not an independent prognostic factor for papillary thyroid microcarcinoma: A propensity score matching analysis.

Multifocality and bilaterality are common in patients with papillary thyroid microcarcinoma (PTMC). However, their clinical behaviours and prognostic implications remain controversial. To investigate the relationship between multifocality and classically aggressive characteristics and outcomes in patients with PTMC. Clinical data of 3005 patients with PTMC were retrospectively reviewed at a tertiary medical centre. The role of unilateral and bilateral multifocality in aggressive characteristics and clinical outcomes of PTMC was evaluated using propensity score matching (PSM). A total of 573 patients had bilateral multifocal disease (B-MFD), 272 had unilateral multifocal disease (U-MFD), and 2160 had unifocal disease (UFD). Univariate analysis showed that patients in the multifocal disease (MFD) groups showed significantly different characteristics compared to patients in the UFD group in terms of age, chronic lymphocytic thyroiditis (CLT), follicular variant PTMC, tumour diameter, aggressive growth, including extrathyroidal extension (ETE), central lymph node metastasis (CLNM) and lateral lymph node metastasis (LLNM), and TNM stage, and underwent radioactive iodine (RAI) therapy. Further stratified analysis revealed that patients in the B-MFD group reflected the differences between the MFD and UFD groups. However, those in the U-MFD group showed slight differences only in sex, CLT and cell subtypes, compared to the UFD group. In addition, PSM indicated differences in ETE, CLNM and LLNM between the B-MFD and UFD groups (p<.001), while only ETE differed between the U-MFD and UFD groups (p<.001). After a median follow-up period of 60months, no difference was observed in recurrence-free survival between the UFD and B-MFD (p=.294) or U-MFD (p=.603) groups using PSM. This propensity score matching analysis provides strong evidence that bilateral multifocality, rather than unilateral multifocality, should be considered as an aggressive marker at presentation, and neither is an independent prognostic factor for clinical outcome in PTMC.

Analyze and compare the predictors of ipsilateral central lymph node metastasis in papillary thyroid carcinoma with cT1a and cT1b stage

Central lymph node metastasis (CLNM) is common in papillary thyroid carcinoma (PTC). The aim of this study was to compare the cT1a and cT1b stages of PTC and to analyze the predictive factors of ipsilateral central lymph node metastasis (CLNM). In total, 212 PTC (cT1N0) patients underwent hemi-thyroidectomy with ipsilateral central lymph node dissection (CLND) between 2019 and 2020 in our hospital. Univariate and multivariate analyses identified the predictive factors for CLNM of PTC (cT1aN0 and cT1bN0), and compared the differences between the two stages. The total rate of ipsilateral CLNM was 31.13% (66/212), and the ipsilateral CLNM rate in cT1b stage was higher than that in cT1a stage (48.84% vs. 26.63%), with significant differences (p=0.005). cT1b stage was more prone to capsule invasion than cT1a stage (41.86% vs. 2.37%), with significant differences (p‹0.001). The multivariate analysis showed that tumor size (n>5mm) was an independent predictive factor for CLNM in cT1a stage (p=0.002), with an odds ratio (OR) of 0.228 (95% confidence interval (95% CI): 0.079-0.655). Capsular invasion (p=0.048) and tumors located in the middle and lower parts (p=0.022) were independent predictive factors for CLNM in cT1b stage, with ORs of 0.157 (95% CI: 0.034-0.724) and 0.075 (95% CI: 0.007-0.847), respectively. The rate of CLNM increases with increase of tumor size. Patients in cT1b stage are more prone to capsule invasion and CLNM. For the cT1b stage of PTC, predictive factors should be correctly evaluated to guide surgical treatment for PTC patients.

Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.

Purpose: While there are no clear indications of whether central lymph node dissection is necessary in patients with T1-T2, non-invasive, clinically uninvolved central neck lymph nodes papillary thyroid carcinoma (PTC), this study seeks to develop and validate models for predicting the risk of central lymph node metastasis (CLNM) in these patients based on machine learning algorithms.Methods: This is a retrospective study comprising 1,271 patients with T1-T2 stage, non-invasive, and clinically node negative (cN0) PTC who underwent surgery at the Department of Endocrine and Breast Surgery of The First Affiliated Hospital of Chongqing Medical University from February 1, 2016, to December 31, 2018. We applied six machine learning (ML) algorithms, including Logistic Regression (LR), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGBoost), Random Forest (RF), Decision Tree (DT), and Neural Network (NNET), coupled with preoperative clinical characteristics and intraoperative information to develop prediction models for CLNM. Among all the samples, 70% were randomly selected to train the models while the remaining 30% were used for validation. Indices like the area under the receiver operating characteristic (AUROC), sensitivity, specificity, and accuracy were calculated to test the models' performance.Results: The results showed that ~51.3% (652 out of 1,271) of the patients had pN1 disease. In multivariate logistic regression analyses, gender, tumor size and location, multifocality, age, and Delphian lymph node status were all independent predictors of CLNM. In predicting CLNM, six ML algorithms posted AUROC of 0.70–0.75, with the extreme gradient boosting (XGBoost) model standing out, registering 0.75. Thus, we employed the best-performing ML algorithm model and uploaded the results to a self-made online risk calculator to estimate an individual's probability of CLNM (https://jin63.shinyapps.io/ML_CLNM/).Conclusions: With the incorporation of preoperative and intraoperative risk factors, ML algorithms can achieve acceptable prediction of CLNM with Xgboost model performing the best. Our online risk calculator based on ML algorithm may help determine the optimal extent of initial surgical treatment for patients with T1-T2 stage, non-invasive, and clinically node negative PTC.

Risk Factors for Central and Lateral Lymph Node Metastases in Patients With Papillary Thyroid Micro-Carcinoma: Retrospective Analysis on 484 Cases.

BackgroundPapillary thyroid micro-carcinoma (PTMC) is defined as a tumor with a larger diameter ≤1 cm which has an indolent course and satisfying prognosis. However, the incidence of lymph node metastasis of PTMC cannot be ignored. The aim of this study was to assess the incidence of lymph node metastasis in PTMC patients, as well as to evaluate the risk factors for both central lymph node metastases (CLNM) and lateral lymph node metastases (LLNM).MethodsPatients who underwent thyroidectomy from January 2017 to October 2020, and pathologically diagnosed with PTMC were enrolled in our study and their medical records were collected and analyzed.ResultsA total of 484 PTMC patients were included. The incidence of central and lateral lymph node metastasis was 49.6% and 9.1%, respectively. Multivariate analysis demonstrated as independent risk factors for CLNM male sex, age <40 years, largest tumor size ≥5 mm and bilaterality. Extrathyroidal extension, presence of CLNM, number of CLNM ≥5 were strong indicators for LLNM.ConclusionThe incidence of lymph node metastases in PTMC is non-negligible. The identification of potential risk factors for CLNM and LLNM would help tailor individual surgical interventions for patients with PTMC.

Central neck lymph node metastasis in oral squamous cell carcinoma at the floor of mouth

sBackgroundOur goal was to analyze the incidence of level VI metastasis in previously untreated oral squamous cell carcinoma (SCC) patients and their clinicopathological and prognostic characteristics.MethodsOral SCC patients with level VI metastasis were retrospectively enrolled, and their demographic and pathologic features as well as their survival data were descriptively analyzed.ResultsA total of 13 cases from 1875 patients were included, all patients had SCC at the floor of mouth (SCCFOM). Eight (61.5%) patients had a pT4 tumor, and all patients had a pathological N3 neck with multiple positive lymph nodes. Adverse pathologic features were present in 100% of the patients. The size of the metastatic foci in level VI ranged from 2.6 cm to 4.5 cm with a mean value of 3.2 cm, and 5 patients showed a soft tissue deposit with no lymph node component. Recurrence occurred in all patients, and 11 patients died of uncontrolled cancer within 5 years after surgery.ConclusionLevel VI metastasis in primary oral SCCFOM is rare, and its prognosis is poor.

Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrence

This study analyzed the prognostic significance of clinico-pathologic factors, including the number of metastatic lymph nodes (LNs) and lymph node ratio (LNR), in patients with papillary thyroid carcinoma (PTC), and attempted to construct a disease recurrence prediction model using machine learning techniques. We retrospectively analyzed clinico-pathologic data from 1040 patients diagnosed with PTC between 2003 and 2009. We analyzed clinico-pathologic factors related to recurrence through logistic regression analysis. Among the factors that we included, only sex and tumor size were significantly correlated with disease recurrence. Parameters such as age, sex, tumor size, tumor multiplicity, ETE, ENE, pT, pN, ipsilateral central LN metastasis, contralateral central LNs metastasis, number of metastatic LNs, and LNR were input for construction of a machine learning prediction model. The performance of five machine learning models related to recurrence prediction was compared based on accuracy. The Decision Tree model showed the best accuracy at 95%, and the lightGBM and stacking model together showed 93% accuracy. Among those factors mentioned above, LNR and contralateral LN metastasis were used as important features in all machine learning prediction models. We confirmed that all machine learning prediction models showed an accuracy of 90% or more for predicting disease recurrence in PTC. LNR and contralateral LN metastasis were used as important features for constructing a robust machine learning prediction model. In the future, we have a plan to perform large-scale multicenter clinical studies to improve the performance of our prediction models and verify their clinical effectiveness.

Clinical and ultrasonic features of papillary thyroid microcarcinoma and risk factors for central lymph node metastasis

Objective:To investigate the clinical and ultrasonic features of papillary thyroid microcarcinoma （PTMC） and the risk factors of central lymph node metastasis （CLNM）, to provide help for individualized treatment. Methods:One hundred and eighty-five patients with PTMC confirmed by surgery and pathology and underwent prophylactic CLN dissection were retrospectively analyzed. According to lymph node metastasis, patients were divided into metastasis group and non metastasis group. The size, shape, echo, aspect ratio, edge, protruding capsule, nodule location, calcification and calcification were analyzed. The relationship between clnm and ultrasonographic features, sex, age, single/multiple, whether or not with Hashimoto thyroiditis was analyzed. Results:Among 185 patients with PTMC, 55 cases had lymph node metastasis, and the metastasis rate was 30.0%. In univariate analysis, clnm of PTMC was significantly correlated with gender, age, tumor size, protruding capsule, type of calcification and single / multiple （all P<0.05）. In multivariate logistic regression analysis, tumor size, single/multiple, protruding capsule, gender and age were the risk factors of clnm. According to the ROC curve, when the age was 49.5 years old and the mass size was 4.8 mm, the diagnostic test yoden index reached the maximum value. Conclusion:When the risk factors of male, ≤49.5 years old, tumor size≥4.8 mm, multiple and protruding capsule appeared in PTMC patients, preventive CLN clearance should be taken actively.

Development and Validation of a Nomogram for Preoperative Prediction of Central Compartment Lymph Node Metastasis in Patients with Papillary Thyroid Carcinoma and Type 2 Diabetes Mellitus.

PurposeTo develop and validate a nomogram to predict central compartment lymph node metastasis in PTC patients with Type 2 Diabetes.Patients and MethodsThe total number of enrolled patients was 456. The optimal cut-off values of continuous variables were obtained by ROC curve analysis. Significant risk factors in univariate analysis were further identified to be independent variables in multivariable logistic regression analysis, which were then incorporated and presented in a nomogram. The ROC curve analysis was performed to evaluate the discrimination of the nomogram, calibration curves and Hosmer-Lemeshow test were used to visualize and quantify the consistency. Decision curve analysis (DCA) was performed to evaluate the net clinical benefit patients could get by applying this nomogram.ResultsROC curve analysis showed the optimal cutoff values of NLR, PLR, and tumor size were 2.9204, 154.7003, and 0.95 (cm), respectively. Multivariate logistic regression analysis indicated that age, multifocality, largest tumor size, and neutrophil-to-lymphocyte ratio were independent prognostic factors of CLNM. The C-index of this nomogram in the training data set was 0.728, and 0.618 in the external validation data set. When we defined the predicted possibility (>0.5273) as high-risk of CLNM, we could get a sensitivity of 0.535, a specificity of 0.797, a PPV(%) of 67.7, and an NPV(%) of 68.7. Great consistencies were represented in the calibration curves. DCA showed that applying this nomogram will help patients get more clinical net benefit than having all of the patients or none of the patients treated with central compartment lymph node dissection (CLND).ConclusionA high level of preoperative NLR was an independent predictor for CLNM in PTC patients with T2DM. And the verified optimal cutoff value of NLR in this study was 2.9204. Applying this nomogram will help stratify high-risk CLNM patients, consequently enabling these patients to be treated with appropriate measures. What is more, we hope to find more sensitive indicators in the near future to further improve the sensitivity and specificity of our nomogram.

Predictive value of the Delphian lymph node in cervical lymph node metastasis of papillary thyroid carcinoma

IntroductionDelphian lymph node metastasis (DLNM) has proven to be a risk factor for a poor prognosis in head and neck malignancies. This study aimed to reveal the clinical features and evaluate the predictive value of the Delphian lymph node (DLN) in papillary thyroid carcinoma (PTC) to guide the extent of surgery. MethodsTianjin Medical University Cancer Institute and Hospital pathology database was reviewed from 2017 to 2020, and 516 PTC patients with DLN detection were enrolled. Retrospective analysis was performed, while multivariate analysis was performed to identify the risk factors for DLNM. ResultsAmong the 516 PTC patients with DLN detection, the DLN metastasis rate was 25.39% (131/516). Tumor size >1 cm, location in the upper 1/3, central lymph node metastasis (CLNM), lateral lymph node metastasis (LLNM) and lymphovascular invasion were independent risk factors for DLNM. Patients with DLNM had a higher incidence of ipsilateral CLNM, contralateral CLNM (CCLNM) and LLNM, and larger numbers and size of metastatic CLNs than those without DLNM. The incidence of CLNM among cN0 patients with DLNM was higher than that among those without DLNM. The incidence of CCLNM among unilateral cN + patients with DLNM was similarly higher than that among patients without DLNM. ConclusionsDLNM indicates a high likelihood and large number of cervical lymph nodes metastases in PTC patients. Surgeons are strongly recommended to detect DLN status during operation by means of frozen pathology, so as to evaluate the possibility of cervical nodal metastasis and decide the appropriate extent of surgery.

Construction and validation of a nomogram for predicting cervical lymph node metastasis in classic papillary thyroid carcinoma.

Patients with papillary thyroid carcinoma (PTC) frequently present a relatively poor prognosis when they coexist with cervical lymph node metastasis (LNM). Moreover, it remains controversial whether prophylactic lymph node dissection (LND) should be performed for patients without clinically lymph node metastasis. Thus, we hereby develop a nomogram for predicting the cervical LNM (including central and lateral LNM) in patients with PTC. We retrospectively reviewed the clinical characteristics of adult patients with PTC in the surveillance, epidemiology, and end results (SEER) database between 2010 and 2015 and in our Department of Breast and Thyroid Surgery in the Second Affiliated Hospital of Chongqing Medical University between 2019 and 2020. A total of 21,972 patients in the SEER database and 747 patients in our department who met the inclusion criteria were enrolled in this study. Ultimately, six clinical features including age, gender, race, extrathyroidal invasion, multifocality, and tumor size were identified to be associated with cervical LNM in patients with PTC, which were screened to develop a nomogram. This model had satisfied discrimination with a concordance index (C-index) of 0.733, supported by both internal and external validation with a C-index of 0.731 and 0.716, respectively. A decision curve analysis was subsequently made to evaluate the feasibility of this nomogram for predicting cervical LNM. Besides, a positive correlation between nomogram score and the average number of lymph node metastases was observed in all groups. This visualized multipopulational-based nomogram model was successfully established. We determined that various clinical characteristics were significantly associated with cervical LNM, which would be better helping clinicians make individualized clinical decisions for PTC patients.

Long-term outcomes of lobectomy for papillary thyroid carcinoma with high-risk features.

Lobectomy is not advocated for papillary thyroid carcinoma (PTC) with high-risk features, although there is no high-level evidence showing that this is an inferior strategy. This study aimed to examine the association between the extent of surgery and survival of patients with PTC and high-risk features. Consecutive patients with PTC and at least one high-risk feature treated in 2000-2012 were included in the study. High-risk features were defined as: primary tumour larger than 4cm, gross extrathyroidal extension, macroscopic multifocality, and confirmed nodal metastasis including pathological lateral neck metastasis (pN1b) or more than five central lymph node metastases. Cox proportional hazards models were employed to measure the association between the extent of surgery and disease-specific survival (DSS) in the whole cohort and in a matched-pair analysis. Among a total of 2059 patients with high-risk features, 1224 underwent lobectomy and 835 had total thyroidectomy. Patients who underwent total thyroidectomy had significantly higher rates of bilateral cancer than those who had a lobectomy (79.4 versus 2.7 per cent respectively), macroscopic multifocality (80.8 versus 32.8 per cent) and bilateral neck metastasis (30.9 versus 3.3 per cent) (all P < 0.001). With a median follow-up of 93months, multivariable analysis showed that the extent of surgery was not associated with DSS in the whole cohort (hazard ratio 1.36, 95 per cent c.i. 0.75 to 2.48; P = 0.310). After 1:1 case-control matching of 528 patients, no significant difference between lobectomy and total thyroidectomy groups was observed with respect to the 10-year DSS rate (94.3 versus 95.2 per cent respectively; P = 0.323) or 10-year recurrence-free survival rate (75.8 versus 79.2 per cent; P = 0.784). Lobectomy was not associated with significantly worse outcomes for patients with PTC and high-risk features.