ObjectiveTo investigate the risk factors for lymph node metastasis in resectable lung adenocarcinoma by combining spatial location, clinical, and imaging features, and to construct a lymph node metastasis prediction model. MethodsA retrospective study on patients who underwent chest computed tomography (CT) at the First Affiliated Hospital of Nanjing Medical University from June 2016 to June 2020 and were surgically confirmed to have invasive lung adenocarcinoma with or without lymph node metastasis was conducted. Patients were divided into a positive group and a negative group based on the presence or absence of lymph node metastasis. Clinical and imaging data of the patients were collected, and the independent risk factors for lymph node metastasis in resectable lung adenocarcinoma were analyzed using univariate and multivariate logistic regression. A combined spatial location-clinical-imaging feature prediction model for lymph node metastasis was established and compared with the traditional lymph node metastasis prediction model that does not include spatial location features. ResultsA total of 611 patients were included, with 333 in the positive group, including 172 males and 161 females, with an average age of (58.9±9.7) years; and 278 in the negative group, including 127 males and 151 females, with an average age of (60.1±11.4) years. Univariate and multivariate logistic regression analyses showed that the spatial relationship of the lesion to the lung hilum, nodule type, pleural changes, and serum carcinoembryonic antigen (CEA) levels were independent risk factors for lymph node metastasis. Based on this, the combined spatial location-clinical-imaging feature prediction model had a sensitivity of 91.67%, specificity of 74.05%, accuracy of 87.88%, and area under the curve (AUC) of 0.885. The traditional lymph node metastasis prediction model, which did not include spatial location features, had a sensitivity of 76.40%, specificity of 72.10%, accuracy of 53.86%, and AUC of 0.827. The difference in AUC between the two prediction methods was statistically significant (P=0.026). Compared with the traditional prediction model, the predictive performance of the combined spatial location-clinical-imaging feature prediction model was significantly improved. ConclusionIn patients with resectable lung adenocarcinoma, those with basal spatial location, solid density, pleural changes with wide base depression, and elevated serum CEA levels have a higher risk of lymph node metastasis.
ObjectiveTo explore the significance of thyroglobulin in the evaluation of lymph node metastasis during the treatment and follow-up of differentiated thyroid carcinoma.MethodThe literatures about thyroid globulin evaluation of lymph node metastasis of differentiated thyroid carcinoma were collected through online database and summarized.ResultsThe determination of thyroglobulin played an important role in the perioperative evaluation of lymph node metastasis in patients with differentiated thyroid carcinoma, the guidance of postoperative radiotherapy for metastasis, and the monitoring of recurrence and metastasis, and thyroglobulin combined with imaging examination could improve its evaluation efficiency.ConclusionsThyroglobulin is an important marker for the evaluation of lymph node metastasis in the treatment and follow-up of differentiated thyroid carcinoma. Combination between thyroglobulin and imaging examination or other laboratory indicators to comprehensively explore its diagnostic threshold is a new idea, that can improve its value in the evaluation of lymph node metastasis.
ObjectiveTo analyze the characteristics and risk factors of lymph node metastasis in thoracic esophageal squamous cell carcinoma (ESCC).MethodsThe clinical data of 407 patients with ESCC who underwent radical resection of esophageal carcinoma from December 2012 to October 2018 in our hospital were retrospectively analyzed. There were 390 males and 17 females with a median age of 63 (38-82) years. Esophageal lesions were found in 26 patients of upper thoracic segment, 190 patients of middle thoracic segment and 191 patients of lower thoracic segment. ResultsAmong the patients, 232 (57.0%) were found to have cervical, thoracic and/or abdominal lymph node metastasis. The lymphatic metastasis rates of cervical, upper, middle, lower mediastinal nodes and abdominal nodes were 0.7%, 8.8%, 21.4%, 16.7% and 37.1%, respectively. The adjacent lymph node metastasis alone occurred in 50.0% patients, and the multistage or skip lymph node metastasis accounted for 29.3% and 20.7%, respectively. Multivariate analysis showed that the length of esophageal lesion, T stage, degree of tumor differentiation, vascular cancer embolus and nerve invasion were independent risk factors for lymph node metastasis.ConclusionThe rates of lymph node metastasis are similar in the upper, middle and lower thoracic ESCC. The main pattern of lymph node metastasis is the adjacent lymph node metastasis, followed by multistage and skip lymph node metastases. The length of esophageal lesion, T stage, degree of tumor differentiation, vascular cancer embolus and nerve invasion are independent factors for lymph node metastasis. The operation and dissection range should be selected according to the location of tumor and the characteristics of the lesion.
ObjectiveTo explore the value on excision of subpyloric (No.6 group) lymph nodes of stomach by detection of metastatic rate and metastasis of lymph nodes of No.6 group and its subgroups. MethodsThe clinical data including complete information on No.6 group and its subgroups lymph nodes in 80 patients underwent gastrectomy and subpyloric lymph nodes dissection for gastric cancer from January 2006 to December 2009 were retrospectively analyzed. Referring to the right gastroepiploic vein, the No.6 lymph nodes were divided into three subgroups (No.6a, No.6b, and No.6c subgroup), and the relationship between the metastasis of No.6 lymph nodes and clinicopathologic features as well as the metastasis of No.7, No.8a， and No.9 lymph nodes were analyzed by logistic regression analysis. ResultsThe metastatic rate of No.6 group lymph nodes was 41.3% (33/80) and with 26.0% (108/415) of the resected lymph nodes involved. The metastatic rate of lymph nodes in No.6a subgroup (7.5%, 6/80) was significantly lower than that in No.6b (16.3%, 13/80) and No.6c subgroup (36.3%, 29/80), Plt;0.001. The metastasis of the resected lymph nodes in No.6a, No.6b, and No.6c subgroup was 25.0% (8/32), 17.6% (13/74), and 28.2% (87/309), respectively, and the difference was not significant (P=0.292). The metastasis of lymph nodes in No.6a subgroup was correlated to T stage (P=0.042) and N stage (P=0.006). The metastasis of lymph nodes in No.6b subgroup was correlated to N stage (P=0.002) and TNM stage (P=0.013). The metastasis of lymph nodes in No.6c subgroup was correlated to differentiation degree of tumor (P=0.008), T stage (P=0.003), N stage (P=0.000), and TNM stage (P=0.000). The logistic regression analysis showed that the metastasis of lymph nodes was correlated to the metastasis of No.8a lymph nodes (P=0.023) and N stage (P=0.002) in No.6 group, the metastasis of No.8a lymph nodes (P=0.018) in No.6a subgroup, N stage (P=0.005) in No.6b subgroup, and the metastasis of No.8a lymph nodes (P=0.016) and N stage (P=0.004) in No.6c subgroup. ConclusionAttentions should be paid to the complete dissection of subpyloric lymph nodes in gastric cancer surgery, especially for the lymph nodes of No.6a and No.6b subgroups.
ObjectiveTo predict the probability of lymph node metastasis after thoracoscopic surgery in patients with lung adenocarcinoma based on nomogram. MethodsWe analyzed the clinical data of the patients with lung adenocarcinoma treated in the department of thoracic surgery of our hospital from June 2018 to May 2021. The patients were randomly divided into a training group and a validation group. The variables that may affect the lymph node metastasis of lung adenocarcinoma were screened out by univariate logistic regression, and then the clinical prediction model was constructed by multivariate logistic regression. The nomogram was used to show the model visually, the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve to evaluate the calibration degree and practicability of the model. ResultsFinally 249 patients were collected, including 117 males aged 53.15±13.95 years and 132 females aged 47.36±13.10 years. There were 180 patients in the training group, and 69 patients in the validation group. There was a significant correlation between the 6 clinicopathological characteristics and lymph node metastasis of lung adenocarcinoma in the univariate logistic regression. The area under the ROC curve in the training group was 0.863, suggesting the ability to distinguish lymph node metastasis, which was confirmed in the validation group (area under the ROC curve was 0.847). The nomogram and clinical decision curve also performed well in the follow-up analysis, which proved its potential clinical value. ConclusionThis study provides a nomogram combined with clinicopathological characteristics, which can be used to predict the risk of lymph node metastasis in patients with lung adenocarcinoma with a diameter≤3 cm.
Objective To use imaging features of pulmonary nodules to predict the risk of lymph node metastasis in patients with cT1-stage non-small cell lung cancer (NSCLC), providing a reference for clinical decision-making. Methods A retrospective analysis was conducted on the imaging features and postoperative pathological results of cT1 NSCLC patients who underwent surgical treatment at Linyi People’s Hospital from July 2019 to July 2022. Patients were grouped and analyzed according to lymph node metastasis status. Results A total of 1 123 patients were included, comprising 471 males and 652 females, with a median age of 59 (52, 66) years. Comparative analysis revealed that sex, age, nodule location, nodule size on imaging, solid component size, consolidation tumor ratio (CTR), average CT value, and tumor proximity to the pleura all influenced lymph node metastasis. A nomogram was constructed, indicating that the probability of lymph node metastasis in cT1 NSCLC was positively correlated with solid component size, CTR, and average CT value of the pulmonary nodule, and negatively correlated with patient age. The area under the receiver operating characteristic curve was 0.929. Conclusion For cT1 NSCLC patients, the probability of lymph node metastasis can be predicted by measuring the solid component size, CTR, and average CT value of the pulmonary nodule, in conjunction with patient age. However, relying solely on pulmonary nodule imaging characteristics is insufficient to determine a specific lymph node dissection strategy.
Objective To investigate the relationship between clinical features and lymph node metastasis in lung adenocarcinoma patients with T1 stage. Methods We retrospectively analyzed the clinical data of 253 T1-stage lung adenocarcinoma patients (92 males and 161 females at an average age of 59.45±9.36 years), who received lobectomy and systemic lymph node dissection in the Second Affiliated Hospital of Harbin Medical University from October 2013 to February 2016. Results Lymph node metastasis was negative in 182 patients (71.9%) and positive in 71 (28.1%). Poor differentiation (OR=6.988, P=0.001), moderate differentiation (OR=3.589, P=0.008), micropapillary type (OR=24.000, P<0.001), solid type (OR=5.080, P=0.048), pleural invasion (OR=2.347, P=0.024), age≤53.5 years (OR=2.594, P=0.020) were independent risk factors for lymph node metastasis. In addition, in the tumor with diameter≥1.55 cm (OR=0.615, P=0.183), although the cut-off value of 1.55 cm had no significant difference, it still suggested that tumor diameter was an important risk factor of lymph node metastasis. Conclusion In lung adenocarcinoma with T1 stage, the large tumor diameter, the low degree of differentiation, the high ratio of consolidation, and the micropapillary or solid pathological subtypes are more prone to have lymph node metastasis.
Objective To systematically evaluate the effectiveness and safety of minimally invasive video-assisted thyroidectomy (MIVAT) and conventional open thyroidectomy (COT) in treatment of thyroid carcinoma without lymph node metastasis. Methods Databases including PubMed, EMbase, The Cochrane Library (Issue 3, 2015), WanFang, CBM, VIP and CNKI were searched to collect the randomized controlled trails (RCTs) and non-RCTs about MIVAT and COT in treatment of thyroid carcinoma without lymph node metastasis. The retrieval time was from inception to October 2015. The studies were screened according to the inclusion and exclusion criterias, and the data was extracted and the quality of studies was evaluated by 2 reviewers independently. Then the Meta-analysis was conducted by using RevMan 5.2 software. Results A total of 13 non-RCTs involving 3 083 cases were included. The results of Meta-analysis showed that: compared with COT group, operative time of MIVAT group was longer (MD=31.36, 95% CI: 27.68-35.03, P<0.05), hospital stay (MD=-0.16, 95% CI: -0.28--0.04, P=0.01) and length of scar (MD=-1.51, 95% CI: -1.63--1.39, P<0.05) of MIVAT group were shorter, but there was no significant difference in the incidences of transient hypocalcemia (OR=1.29, 95% CI: 0.93-1.78, P=0.13), transient laryngeal nerve palsy (OR=1.42, 95% CI: 0.93-2.17, P=0.11), hemotoma (OR=1.21, 95% CI: 0.64-2.29, P=0.56), recurrence (OR=0.61, 95% CI: 0.28-1.33, P=0.22), number of retrieved central lymph nodes (MD=-0.10, 95% CI: -0.98-0.78, P=0.82), and the size of tumors (MD=-0.02, 95% CI: -0.06-0.02, P=0.39) between the 2 groups. Conclusion MIVAT is safe and feasible in treatment of thyroid carcinoma without lymph node metastasis when its indications are strictly controlled.
Objective To explore the influencing factors of lymph node metastasis of Siewert Ⅱ/Ⅲ gastroesophageal junction adenocarcinoma (AEG) and its influence on prognosis of this kind of patients. Methods The clinical and pathological data of 49 patients with Siewert Ⅱ/Ⅲ AEG who admitted to Shiyan Hospital of Traditional Chinese from January 2010 to January 2013 were retrospectively analyzed. Univariate and multivariate analyses of factors affecting lymph node metastasis of AEG were performed by using a chi-square test and an unconditional logistic regression model; the effect of lymph node metastasis on the prognosis of patients with Siewert Ⅱ/Ⅲ AEG was performed by log-rank test. Results Multivariate unconditional logistic regression analysis showed that, tumor diameter (P=0.008), depth of invasion (P=0.019), vascular tumor thrombus (P=0.020), and degree of differentiation (P=0.017) were all influencing factors of lymph node metastasis. Patients with Siewert Ⅱ/Ⅲ AGE without lymph node metastasis had better survival than those with lymph node metastasis (P=0.005). Conclusion Tumor diameter, depth of invasion, degree of differentiation, and vascular tumor thrombus are independent risk factors for lymph node metastasis in patients with Siewert Ⅱ/Ⅲ AEG, and lymph node metastasis is associated with poor prognosis.
ObjectiveTo investigate relationship of long non-coding RNA FoxP4-AS1 expression with lymph node metastasis (LNM) of papillary thyroid carcinoma (PTC).MethodsReal time fluorescent quantitative polymerase chain reaction was used to detect the expression level of FoxP4-AS1 in 52 cases of PTC tissues and corresponding adjacent tissues, PTC cells (TPC-1, B-CPAP, K1), and normal thyroid follicular epithelial cells (Nthy-ori3-1). Univariate and multivariate analysis were used to identify the influencing factors of LNM in PTC. Receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of influencing factors of LNM in PTC.ResultsThe expression level of FoxP4-AS1 in the PTC tissues was significantly decreased as compared with the corresponding adjacent tissues (t=7.898, P<0.001), which in the different cells had statistical difference (F=29.866, P<0.001): expression levels in the TPC-1 and K1 cells were lower than Nthy-ori3-1 cells (P<0.05) and in the B-CPAP cells and Nthy-ori3-1 cells had no statistical difference (P>0.05) by multiple comparisons. Univariate analysis showed that the extraglandular invasion (χ2=4.205, P=0.040)and low expression of FoxP4-AS1 (χ2=7.144, P=0.008) were the influencing factors of LNM in PTC. Binary logistic regression analysis showed that extraglandular invasion [OR=9.455, 95%CI (1.120, 79.835), P=0.039] and low expression ofFoxP4-AS1[OR=5.437, 95%CI (1.488, 19.873), P=0.010] were risk factors for LNM of PTC. The area under the ROC curve ofFoxP4-AS1,extraglandular invasion alone, and combination of the two were 0.679, 0.656, and 0.785, respectively.ConclusionsFoxP4-AS1 is down-regulated in PTC. Low level of FoxP4-AS1 is a risk factor for LNM of PTC. Combined detection of expression level of FoxP4-AS1 and extraglandular invasion has a high predictive value for LNM of PTC.