Risk Factors For Lymph Node Metastasis Research Articles

CT morphological features for predicting the risk of lymph node metastasis in T1 colorectal cancer.

The aim of this study is to evaluate the feasibility of clinicopathological characteristics and computed tomography (CT) morphological features in predicting lymph node metastasis (LNM) for patients with T1 colorectal cancer (CRC). A total of 144 patients with T1 CRC who underwent CT scans and surgical resection were retrospectively included in our study. The clinicopathological characteristics and CT morphological features were assessed by two observers. Univariate and multiple logistic regression analyses were used to identify significant LNM predictive variables. Then a model was developed using the independent predictive factors. The predictive model was subjected to bootstrapping validation (1000 bootstrap resamples) to calculate the calibration curve and relative C-index. LNM were found in 30/144 patients (20.83%). Four independent risk factors were determined in the multiple logistic regression analysis, including presence of necrosis (adjusted odds ratio [OR] = 10.32, 95% confidence interval [CI] 1.96-54.3, p = 0.004), irregular outer border (adjusted OR = 5.94, 95% CI 1.39-25.45, p = 0.035), and heterogeneity enhancement (adjusted OR = 7.35, 95% CI 3.11-17.38, p = 0.007), as well as tumor location (adjusted ORright-sided colon = 0.05 [0.01-0.60], p = 0.018; adjusted ORrectum = 0.22 [0.06-0.83], p = 0.026). In the internal validation cohort, the model showed good calibration and good discrimination with a C-index of 0.89. There are significant associations between lymphatic metastasis status and tumor location as well as CT morphologic features in T1 CRC, which could help the doctor make decisions for additional surgery after endoscopic resection. • LNM more frequently occurs in left-sided T1 colon cancer than in right-sided T1 colon and rectal cancer. • CT morphologic features are risk factors for LNM of T1 CRC, which may be related to fundamental biological behaviors. • The combination of tumor location and CT morphologic features can more effectively assist in predicting LNM in patients with T1 CRC, and decrease the rate of unnecessary extra surgeries after endoscopic resection.

Application of machine learning algorithm in prediction of lymph node metastasis in patients with intermediate and high-risk prostate cancer.

This study aims to establish the best prediction model of lymph node metastasis (LNM) in patients with intermediate- and high-risk prostate cancer (PCa) through machine learning (ML), and provide the guideline of accurate clinical diagnosis and precise treatment for clinicals. A total of 24,470 patients with intermediate- and high-risk PCa were included in this study. Multivariate logistic regression model was used to screen the independent risk factors of LNM. At the same time, six algorithms, namely random forest (RF), naive Bayesian classifier (NBC), xgboost (XGB), gradient boosting machine (GBM), logistic regression (LR) and decision tree (DT) are used to establish risk prediction models. Based on the best prediction performance of ML algorithm, a prediction model is established, and the performance of the model is evaluated from three aspects: area under curve (AUC), sensitivity and specificity. In multivariate logistic regression analysis, T stage, PSA, Gleason score and bone metastasis were independent predictors of LNM in patients with intermediate- and high-risk PCa. By comprehensively comparing the prediction model performance of training set and test set, GBM model has the best prediction performance (F1 score = 0.838, AUROC = 0.804). Finally, we developed a preliminary calculator model that can quickly and accurately calculate the regional LNM in patients with intermediate- and high-risk PCa. T stage, PSA, Gleason and bone metastasis were independent risk factors for predicting LNM in patients with intermediate- and high-risk PCa. The prediction model established in this study performs well; however, the GBM model is the best one.

Lymph node metastasis in T1 colorectal cancer: Risk factors and prediction model.

Endoscopic resection is typically performed for early T1 stage colorectal cancer (T1 CRC). Additional surgery is subsequently recommended based on pathological findings; however, the current criteria may result in overtreatment. The present study aimed to re-examine the reported risk factors for lymph node (LN) metastasis in T1 CRC and develop a prediction model using a large multi-institutional dataset. In this retrospective study, the medical records of 1,185 patients with T1 CRC who underwent surgery between January 2008 and December 2020 were investigated. Slides pathologically re-assessable for additional risk factors were re-examined. A total of 251 patients with inadequate data were excluded, and 934 patients were randomly assigned at a ratio of 3:1 to the training and validation datasets. In the univariate analysis, left-sided CRC (P=0.003), deep submucosal invasion depth (P=0.005), poor histological grade (P=0.020), lymphatic invasion (P<0.001), venous invasion (P<0.001) and tumor budding grade 2/3 (P<0.001) were significant risk factors for LN metastasis. A nomogram predicting LN metastasis was developed using these variables, with an area under the received operating characteristic curve (AUC) of 0.786. The nomogram was validated using a validation set with an AUC of 0.721, indicating moderate accuracy. No LN metastases were observed in patients with <90 points using the nomogram; therefore, patients with a low nomogram score may avoid undergoing surgical resection. Prediction of LN metastasis using this developed nomogram may help identify patients who are at high-risk who require surgery.

Risk Factors for Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Retrospective Study.

At present, the risk factors of cervical lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) are still controversial. This study was aim to investigate the risk factors of various types of LNM in PTC with tumor diameter > 1 cm. The clinical data of 2216 PTC patients were retrospectively analyzed. Univariate and multivariate logistic regression models were used to analyze the risk factors of LNM. In addition, the receiver operator characteristic (ROC) curve was used to find the best cut-off value of CLNM for predicting LLNM. Finally, the independent risk factors of LLNM were used to construct the prediction of LLNM nomogram. Age ≤55 years old, male, bilateral lobe tumors, ETE, 2-3 cm tumor diameters, and fasting plasma glucose (FPG) were independent risk factors for CLNM. The ROC curve showed that the best cut-off value was 2.5. Age, male, bilateral lobe tumors, tumor diameters ≥ 2 cm and CLNM ≥ 3 were significantly associated with LLNM , while CLNM = 1 or 2 was a protective factor for LLNM. Only tumor diameters ≥3 cm was significantly associated with skip LLNM. The nomogram model (C-index=0.745) can be used to predict LLNM in PTC patients and guide the clinical selection of appropriate treatment options.Patients with high risk factors should undergo prophylactic lymph node dissection. The nomogram we established has a good predictive ability for LLNM, and for high-risk groups, it is necessary to actively perform prophylactic lateral lymph node dissection.

A meta-analysis of the effect of pelvic and para-aortic lymph node dissection on the prognosis of patients with endometrial cancer

ABSTRACT Endometrial cancer (EC) is the second most common malignant tumor of the female reproductive system, and it occurs in the peri- and post-menopausal periods. The metastasis routes of EC include direct spread, hematogenous metastasis and lymph node metastasis. Symptoms such as vaginal discharge or irregular vaginal bleeding may occur in the early stage. The pathological stage of the patients treated at this time is mostly in the early stage, and comprehensive treatment such as surgery, radiotherapy and chemotherapy can improve the prognosis. This article investigates whether endometrial cancer requires pelvic and para-aortic lymph node dissection. The clinical data of 228 patients with endometrial cancer who underwent pelvic lymphadenectomy in our hospital from July 2020 to September 2021 were retrospectively analyzed. All patients underwent preoperative clinical staging and postoperative pathological staging. This paper compared lymph node spread rates of endometrial carcinoma in different stages, depth of muscle invasion, and pathological characteristics to analyze lymph node metastasis risk factors. Results showed metastasis rates of 7.5% in 228 cases of endometrial cancer, increasing with deeper myometrial invasion. Different clinicopathological factors had varying lymph node spread rates. Different clinicopathological factors have different pelvic lymph node spread rates in surgical patients. The lymph node spread rate of differentially differentiated carcinoma is higher than that of well-differentiated carcinoma. The lymph node spread rate of serous carcinoma is 100%, but there is no difference between the lymph node metastasis rate of special type carcinoma and adenocarcinoma. Statistical significance (P > 0.05).

Nomogram established using risk factors of early gastric cancer for predicting the lymph node metastasis

For the prognosis of patients with early gastric cancer (EGC), lymph node metastasis (LNM) plays a crucial role. A thorough and precise evaluation of the patient for LNM is now required. To determine the factors influencing LNM and to construct a prediction model of LNM for EGC patients. Clinical information and pathology data of 2217 EGC patients downloaded from the Surveillance, Epidemiology, and End Results database were collected and analyzed. Based on a 7:3 ratio, 1550 people were categorized into training sets and 667 people were assigned to testing sets, randomly. Based on the factors influencing LNM determined by the training sets, the nomogram was drawn and verified. Based on multivariate analysis, age at diagnosis, histology type, grade, T-stage, and size were risk factors of LNM for EGC. Besides, nomogram was drawn to predict the risk of LNM for EGC patients. Among the categorical variables, the effect of grade (well, moderate, and poor) was the most significant prognosis factor. For training sets and testing sets, respectively, area under the receiver-operating characteristic curve of nomograms were 0.751 [95% confidence interval (CI): 0.721-0.782] and 0.786 (95%CI: 0.742-0.830). In addition, the calibration curves showed that the prediction model of LNM had good consistency. Age at diagnosis, histology type, grade, T-stage, and tumor size were independent variables for LNM in EGC. Based on the above risk factors, prediction model may offer some guiding implications for the choice of subsequent therapeutic approaches for EGC.

Lymph node metastasis in T1-2 colorectal cancer: a population-based study.

We performed this study to identify predictive factors for lymph node metastasis (LNM) and analyze the impact of LNM on the prognosis of patients with T1-2 colorectal cancer (CRC), with the intention of providing guidance for the treatment. The Surveillance Epidemiology and End Result database was used to identify 20,492 patients diagnosed with T1-2 stage CRC between 2010 and 2019, who underwent surgery and lymph node evaluation and had complete prognostic information. Clinicopathological data of patients with T1-2 stage colorectal cancer treated with surgery at Peking University People's Hospital from 2017 to 2021 with complete clinical information were retrieved. We identify and confirm the risk factors for positive lymph node involvement, and the results of follow-up were analyzed. Age, preoperative carcinoembryonic antigen (CEA) level, perineural invasion, and primary tumor site were independent risk factors for LNM in T1-2 CRC based on the analysis of the SEER database, while tumor size and histology of mucinous carcinoma were also independent risk factors in T1 CRC. We then make the nomogram model for predicting LNM risk and showed an acceptable consistency and calibration capability. Survival analysis showed that LNM was an independent prognostic indicator of 5-year disease-specific survival (P = 0.013) and disease-free survival (P < 0.001) in patients with T1 and T2 CRC. Age, CEA level and primary tumor site should be taken into consideration before making the surgical decision in T1-2 CRC patients. The tumor size and histology of mucinous carcinoma also need to be thought about in T1 CRC. Conventional imaging tests do not appear to provide a precise assessment for this issue.

Fibrinogen-to-Lymphocyte Ratio Was an Independent Predictor of Lymph Node Metastasis in Patients with Clinically Node-Negative Advanced-Stage Gastric Cancer.

Various hematological indicators have been reported to predict lymph node metastasis (LNM) in gastric cancer (GC) patients, but the relationship between FLR and LNM has not been studied. Therefore, the aim of this study was to evaluate the role of preoperative fibrinogen-to-lymphocyte ratio (FLR) in predicting LNM in patients with clinically node-negative (cN0) advanced gastric cancer (AGC). We retrospectively reviewed 571 eligible patients with primary AGC adenocarcinoma who underwent radical gastrectomy (discoverycohort). Patients were divided into high and low FLR groups according to the optimal cutoff value determined by Youden index. FLR is an independent predictor of LNM determined by logistic regression and validated in the validation cohort of 207 patients. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of FLR for LNM. The nonlinear relationship between FLR and LNM risk was assessed using restricted cubic spline. Sensitivity analyses were performed according to FLR quartiles to further assess the robustness of the results. The nomogram was built based on FLR and clinicopathological characteristics, and was evaluated by calibration curves, ROC curve analysis and decision curve analysis. In the discoverycohort, the area under the curve (AUC) value for FLR to predict LNM was 0.592. There is a linear relationship between the FLR value and the risk of LNM, and the risk of LNM increased with FLR value. High FLR level is an independent risk factor for LNM, and the results of sensitivity analysis robust this finding. The nomogram for individual risk assessment performed well. Furthermore, we verified the FLR was an independent predictor of LNM in the validation cohort. FLR was an independent predictor of LNM in patients with cN0 AGC.

A LASSO-derived prediction model for assessing the risk of lymph node metastasis in T1 and T2 epithelial ovarian cancer: an international retrospective cohort study.

The necessity of lymphadenectomy remains controversial in patients with early ovarian cancer. This study aimed to estimate the prevalence of lymph node metastasis (LNM) in patients with apparent local epithelial ovarian cancer (EOC) and to develop a risk model for the prediction of LNM in local EOC with machine learning algorithms. A cohort of 4110 patients who underwent lymphadenectomy with apparent local EOC were retrospectively evaluated. In the model development, a least absolute shrinkage and selection operator (LASSO)-derived Cox regression with internal 10-fold cross-validation was used to identify the risk factors of LNM. Clinical performance was assessed using the decision curve analysis, and a nomogram-based analysis was used to identify the risk factors for LNM. The incidence rate of LNM was rare in our cohort, at 7.4% (213/2885) in the primary set and 4.8% (59/1225) in the validation set. After feature selection, 10-fold internal validation, and external validation, our risk model performed well in both the discrimination (area under the curve=0.790 in the primary set and area under the curve=0.752 in the validation set) and the Hosmer-Lemeshow tests (P=0.873 in the primary set and P=0.380 in the validation set). Additionally, decision curve analysis demonstrated the superiority of our model for clinical interventions in daily practice. LNM is rare in patients with local EOC. In our study, which is based on machine learning algorithms, we developed a prediction model to identify patients with local EOC who could benefit from lymphadenectomy.

Lymphovascular or perineural invasion is associated with lymph node metastasis and survival outcomes in patients with gastric cancer.

Lymphovascular invasion (LVI) and perineural invasion (PNI) are associated with poorer prognosis in several human malignancies, but their significance in gastric cancer (GC) remains to be clearly defined. Our study aimed to investigate the prognostic value of LVI/PNI in patients with curative resected GC. Records of 1488 patients with stage I--III GC and 3327 patients with stage I-III colorectal cancer (CRC) were reviewed retrospectively, and difference in the incidence of LVI/PNI between GC and CRC was compared. Univariate and multivariate analyses were used to evaluate whether LVI/PNI was an independent risk factor for lymph node metastasis (LNM) and overall survival (OS) in GC. Patients with stage I-III GC had a significantly higher incidence of LVI/PNI than patients with stage I-III CRC (50.54% vs. 21.91%, p < 0.001). LVI/PNI was significantly associated with higher CEA, higher CA199, deeper tumor invasion, more lymph node metastasis, and advanced TNM stage in GC ( p < 0.05). Multivariate logistic regression analysis identified LVI/PNI (OR=2.64, 95%CI: 2.05-3.40, p < 0.001) as an independent risk factor for LNM in GC. The OS rate was significantly lower in the LVI/PNI-positive GC group than that in the LVI/PNI-negative GC group ( p < 0.001). On multivariate Cox regression analysis, LVI/PNI (HR=1.34, 95%CI: 1.04-1.71, p =0.023) was an independent prognostic factor for OS in GC. GC has a high incidence of LVI/PNI, which was closely associated with disease progression. LVI/PNI could serve as an independent risk factor for LNM and the prognosis of patients with curative resected GC. These findings will be helpful in predicting survival outcomes more accurately and establishing individualized treatment plans.

Risk Factors for Lymph Node Metastasis of Rectal Neuroendocrine Tumor and Its Prognostic Impact: A Single-Center Retrospective Analysis of 195 Cases with Radical Resection.

The incidence of rectal neuroendocrine tumors (NETs) has been steadily increasing. The risk factors for and prognostic impact of lymph node (LN) metastasis were analyzed in 195 patients with stage I-III rectal NET who underwent radical surgery. This retrospective, single-center study analyzed risk factors for LN metastasis focusing on previously identified factors and a novel risk factor: multiple rectal NETs. The association between LN metastasis and the prognosis was also analyzed. Pathologically, the LN metastasis rate (also the rate of stage III disease) was 39%, which was higher than the clinical LN metastasis rate of 14%. Tumor size > 10 mm, presence of central depression, tumor grade G2, depth of invasion, LN swelling on preoperative imaging (cN1), venous invasion and multiple NETs were identified as risk factors for LN metastasis. As the tumor size and risk factors increased, the rate of LN metastasis increased. Among these 7 factors, venous invasion, cN1, and multiple NETs were identified as independent predictors of LN metastasis. LN metastasis of rectal NETs was associated with significantly poor disease-free and disease-specific survival. As risk factors increase, the potential for rectal NETs to metastasize to the LNs increases and LN metastasis is associated with a poor prognosis. This is the first study to report multiple NETs as a risk factor for LN metastasis. A future study examining the survival benefit of radical surgery accompanying LN dissection compared with local resection is warranted.

Analysis of risk factors for lymph node metastasis and prognosis study in patients with early gastric cancer: A SEER data-based study.

Lymph node status is an important factor in determining the prognosis of patients with early gastric cancer (EGC) and preoperative diagnosis of lymph node metastasis (LNM) has some limitations. This study explored the risk factors and independent prognostic factors of LNM in EGC patients and constructed a clinical prediction model to predict LNM. Clinicopathological data of EGC patients was collected from the public Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression was used to identify risk factors for LNM in EGC patients. The performance of the LNM model was evaluated by C-index, calibration curve, receiver operating characteristic (ROC) curve, decision curve analysis (DCA) curve, and clinical impact curve (CIC) based on the results of multivariate regression to develop a nomogram. An independent data set was obtained from China for external validation. The Kaplan-Meier method and Cox regression model were used to identify potential prognostic factors for overall survival (OS) in EGC patients. A total of 3993 EGC patients were randomly allocated to a training cohort (n=2797) and a validation cohort (n=1196). An external cohort of 106 patients from the Second Hospital of Lanzhou University was used for external validation. Univariate and multivariate logistic regression showed that age, tumor size, differentiation, and examined lymph nodes count (ELNC) were independent risk factors for LNM. Nomogram for predicting LNM in EGC patients was developed and validated. The predictive model had a good discriminatory performance with a concordance index (C-index) of 0.702 (95% CI: 0.679-0.725). The calibration plots showed that the predicted LNM probabilities were the same as the actual observations in both the internal validation cohort and external validation cohort. The AUC values for the training cohort, internal validation cohort and external validation cohort were 0.702 (95% CI: 0.679-0.725), 0.709 (95% CI: 0.674-0.744) and 0.750(95% CI: 0.607-0.892), respectively, and the DCA curves and CIC showed good clinical applicability. The Cox regression model identified age, sex, race, primary site, size, pathological type, LNM, distant metastasis, and ELNC were prognostic factors for OS in EGC patients, while a year at diagnosis, grade, marital status, radiotherapy, and chemotherapy were not independent prognostic factors. In this study, we identified risk factors and independent prognostic factors for the development of LNM in EGC patients, and developed a relatively accurate model to predict the development of LNM in EGC patients.

Lymph node metastasis risk factors in clinical stage IA3 lung adenocarcinoma

Lymph node metastasis is a poor prognostic factor for lung cancer. However, the risk of lymph node metastasis has not yet been clarified. This study was conducted to analyze the predictive factors for lymph node metastasis in patients with clinical-stage IA3 lung adenocarcinoma. We retrospectively analyzed all surgical patients with clinical stage IA3 lung adenocarcinoma admitted to our hospital from January 2017 to January 2022. Three hundred and thirty-four patients underwent lobectomy combined with systematic lymph node dissection. Univariate and multivariate logistic regression analyses were used to predict the risk factors of lymph node metastasis. Of the 334 patients eligible for this study, the overall lymph node metastasis rate was 15.3%. There were 45 cases with N1 metastasis, 11 cases with N2 metastasis, and five cases with both N1 and N2 metastasis. The lymph node metastasis rate was 18.1% in patients with a consolidation tumor ratio (CTR) of >0.75, 57.9% in those with >5 ng/mL carcinoembryonic antigen (CEA), and 18.0% in those with a maximum standardized uptake value of >5. Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) for CTR and CEA was 0.790 [95% confidence interval (CI): 0.727-0.853, P < 0.001] and 0.682 (95% CI: 0.591-0.773, P < 0.001), respectively. According to multivariate regression analysis, CEA (>5 ng/mL) [odds ratio (OR) = 3.05, P = 0.016] and CTR (>0.75) (OR = 2.75, P = 0.025) were significantly correlated with lymph node metastasis of clinical stage IA3 lung adenocarcinoma. CEA (>5 ng/mL) and CTR (>0.75) are two important predictors of lymph node metastasis in patients with clinical stage IA3 lung adenocarcinoma.

Clinicopathological characteristics of early gastric cancer with different level of undifferentiated component and nomogram to predict lymph node metastasis.

Few studies showed that mixed type early gastric cancer (EGC) relates to higher risk of lymph node metastasis. We aimed to explore the clinicopathological feature of GC according to different proportions of undifferentiated components (PUC) and develop a nomogram to predict status of lymph node metastasis (LNM) in EGC lesions. Clinicopathological data of the 4,375 patients who underwent surgically resection for gastric cancer in our center were retrospectively evaluated and finally 626 cases were included. We classified mixed type lesions into five groups (M1:0% < PUC ≤ 20%, M2:20%<PUC ≤ 40%, M3:40%<PUC ≤ 60%, M4:60%<PUC ≤ 80%, M5:80%<PUC < 100%). Lesions with 0% PUC were classified as pure differentiated group (PD) and lesions with 100% PUC were classified as pure undifferentiated group (PUD). Compared with PD, LNM rate was higher in group M4 and group M5 (p < 0.05 after Bonferroni correction). Differences of tumor size, presence of lymphovascular invasion (LVI), perineural invasion and invasion depth also exist between groups. No statistical difference of LNM rate was found in cases who met the absolute endoscopic submucosal dissection (ESD) indications for EGC patients. Multivariate analysis revealed that tumor size over 2 cm, submucosa invasion to SM2, presence of LVI and PUC level M4 significantly predicted LNM in EGC. With the AUC of 0.899(P < 0.05), the nomogram exhibited a good discrimination. Internal validation by Hosmer-Lemeshow test showed a good fitting effect in model (P > 0.05). PUC level should be considered as one of the predicting risk factors of LNM in EGC. A nomogram that predicts the risk of LNM in EGC was developed.

Risk factors for lymph node metastasis in patients with pT2 colon cancer in Denmark from 2016 to 2019-A nationwide cohort study.

The majority of patients with pT2 colon cancer have no lymph node metastasis (LNM). Knowledge of risk factors for LNM in pT2 colon cancer could identify patients at low risk and thereby potential candidates for local tumour excision. The aim of this work was to identify risk factors for LNM in pT2 colon cancer and describe a subgroup of low-risk patients. This is a retrospective cohort study of patients with pT2 colon cancer from a nationwide Danish colorectal cancer database. Age, tumour size, location, histological type, mismatch repair protein status and venous, lymphatic and perineural invasion were included as potential risk factors in multivariate analysis. The primary outcome was LNM. We identified 1306 patients with pT2 colon cancer. LNM was present in 244 (19%). Demographic data were comparable in patients with and without LNM, and 864 patients who had complete histological data were included for multivariate analysis. Lymphatic (OR=3.60, 95% CI 2.14-5.9), venous (OR=1.70, 95% CI 1.03-2.74) and perineural (OR=4.61, 95% CI 1.60-13.5) invasion were independent risk factors for LNM. Patients with deficient mismatch repair protein tumours had a decreased risk of LNM (OR=0.55, 95% CI 0.31-0.95). Patients with clinical Stage I colon cancer and without risk factors had a 10.5% (47/443) risk of LNM. For patients with tumours with deficient mismatch repair protein status and no risk factors, the risk was 7.9%. Lymphatic, venous and perineural invasion are significant risk factors for LNM, and we identified a subgroup of patients with a low risk of LNM.

Endoscopic submucosal dissection in early gastric cancer with papillary histological type.

412 Background: Gastric papillary adenocarcinoma has been regarded as differentiated-type adenocarcinomas along with well- or moderately-differentiated tubular adenocarcinomas in current endoscopic submucosal dissection (ESD) indication. We aimed to investigate lymph node metastasis (LNM) and to verify the safety of ESD in patients with papillary early gastric carcinoma (P-EGC). Methods: 4,264 patients with early gastric cancer (EGC) underwent curative gastrectomy between October 2000 and December 2017 at National Cancer Center, Korea. Among them, 45 patients were pathologically confirmed with P-EGC. We compared clinicopathological factors among differentiated-type EGC except P-EGC (n=2,106), undifferentiated-type EGC (n=2,113), and P-EGC. Logistic regression model was used to investigate risk factors of LNM. Results: P-EGCs were frequently located in lower third of the stomach (71.1%, P &lt; 0.001), and about half of them (46.7%, P &lt; 0.001) had elevated morphology. Mucosal cancer of P-EGC (37.9%) was significantly lower than differentiated-type (48.8%) and undifferentiated-type EGC (22.2%, P &lt; 0.001). Angiolymphatic invasion and LNM occurred most frequently in P-EGC (46.9% and 20.0%, respectively) compared to differentiated-type (18.9% and 9.2%, respectively) and undifferentiated-type EGCs (10.9% and 11.7%, respectively; P &lt; 0.001 and P = 0.004, respectively). P-EGC that was not mixed with other pathological type tended to have increased risk of LNM referent to differentiated EGC. (Odd ratio [OR] 2.53, 95% confidence interval [CI], 0.99-6.50). Among 45 patients with P-EGC, 13 patients met the current ESD indication; 3 patients corresponded to absolute indication and 10 patients did expanded indication. One patient had LNM and met expanded criteria with submucosal invasion less than 500 μm. In multivariate analysis, OR for LNM meeting expanded indication of P-EGC was 40.67 (95% CI, 2.54-702.76) referent to that of absolute indication compared to LNM meeting expanded indication of non-papillary EGC (10.28, 95% CI, 1.37-77.04). Conclusions: When ESD was applied to P-EGC, it should be carefully performed because of high rate of submucosal invasion and high risk of LNM even in with submucosal invasion less than 500 μm.

Construction of a nomogram for preoperative prediction of the risk of lymph node metastasis in early gastric cancer.

The status of lymph node metastasis (LNM) in patients with early gastric cancer (EGC) is particularly important for the formulation of clinical treatment. The purpose of this study was to construct a nomogram to predict the risk of LNM in EGC before operation. Univariate analysis and logistic regression analysis were used to determine the independent risk factors for LNM. The independent risk factors were included in the nomogram, and the prediction accuracy, discriminant ability and clinical practicability of the nomogram were evaluated by the receiver operating characteristic curve (ROC), calibration curve and clinical decision curve (DCA), and 100 times ten-fold cross-validation was used for internal validation. 33 (11.3%) cases of AGC were pathologically confirmed as LNM. In multivariate analysis, T stage, presence of enlarged lymph nodes on CT examination, carbohydrate antigen 199 (CA199), undifferentiated histological type and systemic inflammatory response index (SIRI) were risk factors for LNM. The area under the ROC curve of the nomogram was 0.86, the average area under the ROC curve of the 100-fold ten-fold cross-validation was 0.85, and the P value of the Hosmer-Lemeshow test was 0.60. In addition, the clinical decision curve, net reclassification index (NRI) and Integrated Discriminant Improvement Index (IDI) showed that the nomogram had good clinical utility. We found that SIRI is a novel biomarker for preoperative prediction of LNM in EGC, and constructed a nomogram for preoperative prediction of the risk of LNM in EGC, which is helpful for the formulation of the clinical treatment strategies.

Colonoscopy-Assisted Laparoscopic Wedge Resection for the Treatment of Suspected T1 Colon Cancer.

Local en bloc resection of pT1 colon cancer has been gaining acceptance during the last few years. In the absence of histological risk factors, the risk of lymph-node metastases (LNM) is negligible and does not outweigh the morbidity and mortality of an oncologic resection. Colonoscopy-assisted laparoscopic wedge resection (CAL-WR) has proved to be an effective and safe technique for removing complex benign polyps. The role of CAL-WR for the primary resection of suspected T1 colon cancer has to be established. This retrospective study aimed to determine the radicality and safety of CAL-WR as a local en bloc resection technique for a suspected T1 colon cancer. Therefore, the study identified patients in whom high-grade dysplasia or a T1 colon carcinoma was suspected based on histology and/or macroscopic assessment, requiring an en bloc resection. The study analyzed 57 patients who underwent CAL-WR for a suspected macroscopic polyp or polyps with biopsy-proven high-grade dysplasia or T1 colon carcinoma. For 27 of these 57 patients, a pT1 colon carcinoma was diagnosed at pathologic examination after CAL-WR. Histological risk factors for LNM were present in three cases, and 70% showed deep submucosal invasion (Sm2/Sm3). For patients with pT1 colon carcinoma, an overall R0-resection rate of 88.9% was achieved. A minor complication was noted in one patient (1.8%). The CAL-WR procedure is an effective and safe technique for suspected high-grade dysplasia or T1-colon carcinoma. It may fill the gap for tumors that are macroscopic suspected for deep submucosal invasion, providing more patients an organ-preserving treatment option.

Correlation of lymph node metastasis with contrast-enhanced ultrasound features, microvessel density and microvessel area in patients with papillary thyroid carcinoma.

This study aims to investigate the relationship of cervical lymph node metastasis (LNM) with contrast-enhanced ultrasound (CEUS) features, microvessel density (MVD) and microvessel area (MVA) in patients with papillary thyroid carcinoma (PTC), and to evaluate the diagnostic value of CEUS for PTC. A total of 108 patients diagnosed with PTC at the First Affiliated Hospital of Jinzhou Medical University from January 2016 to December 2018 were selected and underwent preoperative CEUS of the thyroid, surgical resection and postoperative histopathological examination of their resected lesion. They were divided into a lymphatic metastasis-positive group (LNM+, n = 61) and a lymphatic metastasis-negative group (LNM-, n = 47) based on their lymph node status. The CEUS quantitative parameters, MVD and MVA, were compared between the two groups, and risk factors for LNM were analyzed by univariate and multivariate logistic regression. Compared with patients with in the LNM-group, the tumor diameter and the proportion of capsule contact of patients in the LNM+group were significantly greater and the patients in this group were younger. The rise time (RT), peak intensity (PI), area under the curve (AUC), MVD, and MVA were also significantly higher in the LNM+group than in the LMN-group, while there was no significant difference in time to peak (TP), mean transit time (mTT), velocity of intensity increase (IIV), and velocity of intensity decrease (IDV) between the two groups. Univariate and multivariate correlation analysis indicated that tumor size, RT, PI, AUC, MVD, and MVA were risk factors for LNM, and ROC curves further suggested that RT had the best overall predictive performance. Tumor size, RT, PI, AUC, MVD and MVA are risk factors for LNM in PTC. In other words, CEUS is an important non-invasive and preoperative tool for evaluating PTC, with MVD and MVA identified as vital postoperative diagnostic indicators.

Risk factors for central and lateral lymph node metastasis in papillary thyroid carcinoma

Background: Lymph node metastasis (LNM) is commonly observed in papillary thyroid carcinoma. This study aimed to investigate the risk factors for LNM in patients with papillary thyroid carcinoma.Methods: The clinicopathological factors of 417 patients were investigated, and differences according to the presence or absence of LNM were evaluated.Results: LNM was associated with age &lt;55 years, male sex, tumor size &gt;10 mm, multiple and bilateral tumors, tumor involving the lower pole or entire lobe, lymphovascular invasion (LVI), perineural invasion (PNI), and extrathyroidal extension (ETE). Univariable and multivariable analyses showed that age &lt;55 years, male sex, tumor size &gt;10 mm, LVI, and ETE were related to central LNM. Male sex, tumor size &gt;10 mm, and LVI were correlated with lateral LNM (p&lt;0.05). Compared to central LNM, more lymph nodes were involved in metastases and the metastatic tumors were larger in lateral LNM. Extranodal extension (ENE) was more commonly observed in lateral LNM (p&lt;0.001) and was associated with tumor size &gt;10 mm, multifocality, PNI, ETE, and the absence of lymphocytic thyroiditis (p&lt;0.05). Conclusions: Younger age, male sex, tumor size &gt;10 mm, LVI, and ETE were risk factors for central LNM, while male sex, tumor size &gt;10 mm, and LVI were risk factors for lateral LNM. ENE was more commonly observed in lateral LNM, and tumor size &gt;10 mm, multifocal tumors, PNI, ETE, and tumors unrelated to lymphocytic thyroiditis were risk factors for ENE.