scholarly journals Assessment of risk factors of lymph node metastasis and prognosis of Siewert II/III adenocarcinoma of esophagogastric junction: a retrospective study

2020 ◽  
Author(s):  
Zhi Zheng ◽  
Haiqiao Zhang ◽  
Rui Xu ◽  
Jie Yin ◽  
Jun Cai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Esophagogastric Junction ◽  
Cox Regression ◽  
Abdominal Cavity ◽  
Infiltration Depth ◽  
Node Metastasis ◽  
Adenocarcinoma Of Esophagogastric Junction

Abstract Background Adenocarcinoma of esophagogastric junction (AEG) has a high incidence, while the extent of lymph node dissection (LND) and prognosis are still controversial. The present study aimed to explore the risk factors of lymph node metastasis (LNM) and prognosis in Siewert II/III AEG patients. Methods A total of 134 patients who underwent surgical operation between July 2013 and December 2019 at the Beijing Friendship Hospital were retrospectively reviewed. The patients were followed up until January 2020. The data were analyzed using logistic regression. Survival analyses were performed using Cox regression. Results Multivariate analysis revealed that the parameters infiltration depth (OR=4.341, 95%CI: 2.498-7.545, P=0.000), gross type (OR=3.626, 95% CI: 1.425-9.228, P=0.007) and intravascular cancer embolus (OR=2.888, 95%CI: 1.106-7.544, P=0.030) correlated with LNM. For all patients, the lymph nodes No. 1, 2, 3, 4, 7, 11 indicated higher lymph node metastatic rate in the abdominal cavity. However, No.5 and No. 6 indicated different tendency, which was higher in Siewert III AEG and lower in Siewert II AEG patients. Mediastinal LNM of Siewert II AEG mainly occurred in No. 110 and No. 111 cases corresponding to 7.1 and 3%, respectively, compared with those noted in Siewert III AEG patients. The 3-year overall survival analysis revealed that LNM ( P= 0.046) and chemotherapy ( P= 0.007) exhibited significant differences. Conclusion The infiltration depth, gross type and intravascular cancer embolus were independent risk factors of LNM. For Siewert II AEG patients, it is reasonable to remove both celiac and mediastinal lymph nodes. This was noted notably for No.1, 2, 3, 4, 7, 11, 110 and No.111. For No.5 and No.6 lymph nodes dissection was not required. For Siewert III AEG patients, mediastinal LND was not required. However, it was necessary to perform pyloric lymphadenectomy, which was performed for No.5 and No.6 lymph nodes. In addition, patients with LNM exhibited worse long-term prognosis. The data indicated that perioperative chemotherapy could improve the prognosis of AEG patients.

A practical nomogram predicting the prognosis of hepatocellular carcinoma patients with lymph node metastasis: A population-based analysis

2020 ◽  
Author(s):  
Kai Zhang ◽  
Changcheng Tao ◽  
Jianxiong Wu ◽  
Weiqi Rong
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Cox Regression ◽  
Lymph Nodes Metastasis ◽  
Node Metastasis ◽  
Independent Risk Factors

Abstract Background: Lymph node (LN) metastasis is associated with poor survival outcomes in patients with hepatocellular carcinoma (HCC) patients and because of the reported low probability of lymph node metastasis, research into the Anchorprognoses of such patients is difficult to conduct. In this study, we aimed to develop a nomogram model to predict the prognosis of HCC patients with lymph node metastasis. Methods: HCC patients diagnosed with LN metastasis from 2010 to 2015 were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate Cox regression and lasso regression were used to screen prognostic factors. Cox multiple-factor analysis was used to investigate the independent risk factors for survival. We developed a prognostic nomograms using these independent risk factors. The predictive performance of our nomogram model was evaluated according to the concordance index (C-index) and calibration curve. The net clinical benefit was assessed via decision curve analysis (DCA). Patients were divided into different risk groups according to the model. A survival curve was drawn using the Kaplan-Meier method and the difference was compared by the log-rank test. Results: There were 944 patients in the training cohort and 402 patients in the validation cohort. Grade, T stage, surgery to the liver, chemotherapy, radiation recode, AFP, fibrosis score, tumor size group, M stage were selected as independent prognostic factors, and we developed nomograms using these variables. The calibration curves for probability of survival showed good agreement between the prediction by our model and actual observation in both the training and validation groups. DCA indicated that the nomogram had positive net benefits. Conclusions: The nomogram can accurately predict the prognosis of HCC patients with lymph nodes metastasis and provide a reasonable basis for treatment. Keywords: Hepatocellular carcinoma, prognosis, lymph nodes metastasis, prediction model, nomogram

scholarly journals Development and Validation a Nomogram for Predicting the Third Station Lymph Node Metastasis in Early Gastric Cancer

2021 ◽  
Author(s):  
Xiaoxiao Wang ◽  
Cong Li ◽  
Mengjie Fang ◽  
Liwen Zhang ◽  
Lianzhen Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Validation Cohort ◽  
Predictive Accuracy ◽  
Clinical Risk Factors ◽  
Node Metastasis ◽  
Clinical Risk

Abstract Background:This study aimed to evaluate the value of radiomic nomogram in predicting lymph node metastasis in T1-2 gastric cancer according to the No. 3 station lymph nodes.Methods:A total of 159 T1-2 gastric cancer (GC) patients who had undergone surgery with lymphadenectomy between March 2012 and November 2017 were retrospectively collected and divided into a primary cohort (n = 80) and a validation cohort (n = 79). Radiomic features were extracted from both tumor region and No. 3 station lymph nodes (LN) based on computed tomography (CT) images per patient. Then, key features were selected using minimum redundancy maximum relevance algorithm and fed into two radiomic signatures, respectively. Meanwhile, the predictive performance of clinical risk factors was studied. Finally, a nomogram was built by merging radiomic signatures and clinical risk factors and evaluated by the area under the receiver operator characteristic curve (AUC) as well as decision curve.Results: Two radiomic signatures, reflecting phenotypes of the tumor and LN respectively, were significantly associated with LN metastasis. A nomogram incorporating two radiomic signatures and CT-reported LN metastasis status showed good discrimination of LN metastasis in both the primary cohort (AUC: 0.915; 95% confidence interval [CI]: 0.832-0.998) and validation cohort (AUC: 0.908; 95%CI: 0.814-1.000). The decision curve also indicated its potential clinical usefulness.Conclusions:The nomogram received favorable predictive accuracy in predicting No.3 station LN metastasis in T1-2 GC, and could assist the choice of therapy.

Identification of risk factors associated with pelvic lymph node metastasis in patients with stage IB1 cervical cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e18005-e18005
Author(s):  
Ping Jiang ◽  
Jing Cai ◽  
Xiaoqi He ◽  
Hongbo Wang ◽  
Weihong Dong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cervical Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Tumor Size ◽  
Node Metastasis ◽  
Parametrial Invasion ◽  
Pelvic Lymph Node Metastasis ◽  
Internal Iliac

e18005 Background: Evaluation the distribution of nodal metastases in the stage IB1 cervical cancer and the risk factors associated with pelvic lymph node metastasis (LNM) at each anatomic location. Methods: 728 patients with stage IB1 cervical cancer who underwent radical hysterectomies and systemic pelvic lymphadenectomies from January 2008 to December 2017 were retrospectively studied. All removed pelvic lymph nodes were pathologically examined, and the risk factors for LNM at the obturator, internal iliac, external iliac, and common iliac regions were evaluated by univariate and multivariate logistic regression analyses. Results: 20,134 lymph nodes were analysed with the average number of 27.80 (± SD 9.43) lymph nodes per patient. Nodal metastases were present in 266 (14.6%) patients. The obturator was the most common site for nodal metastasis (42.5%) followed by the internal iliac nodes (20.3%) and the external iliac nodes (19.9%), while the common iliac (9.8%) and parametrial (7.5%) nodes were the least likely to be involved. Tumor size more than 2 cm, histologically proven lymphovascular space involvement (LVSI) and parametrial invasion correlated independently significantly with the higher risk of the lymphatic metastasis. Obesity (BMI≥25) was independently significantly negatively correlated with the risk of lymphatic metastases. All the positive common iliac nodes were found in patients with tumors greater than 2 cm. The multivariate analysis showed that tumor size greater than 3 cm was associated with a 16.6-fold increase in the risk for common iliac LNM. Interestingly, tumor size was not an independent risk factor for pelvic LNM in the lower regions, i.e., the obturator, internal iliac and external iliac areas, where LVSI was the most significant predictor for LNM. In addition, parametrial invasion was related to external and internal iliac LNM; deep stromal invasion and age less than 50 years were associated with obturator LNM. Conclusions: The incidence of lymph node metastasis in patients with stage IB1 cervical cancer is low but prognostically relevant. The data offer the opportunity for tailored individual treatment in selected patients with small tumors and obesity.

scholarly journals Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoxiao Wang ◽  
Cong Li ◽  
Mengjie Fang ◽  
Liwen Zhang ◽  
Lianzhen Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Clinical Risk Factors ◽  
Primary Tumors ◽  
Training Cohort ◽  
Node Metastasis ◽  
Clinical Risk

Abstract Background This study aimed to develope and validate a radiomics nomogram by integrating the quantitative radiomics characteristics of No.3 lymph nodes (LNs) and primary tumors to better predict preoperative lymph node metastasis (LNM) in T1-2 gastric cancer (GC) patients. Methods A total of 159 T1-2 GC patients who had undergone surgery with lymphadenectomy between March 2012 and November 2017 were retrospectively collected and divided into a training cohort (n = 80) and a testing cohort (n = 79). Radiomic features were extracted from both tumor region and No. 3 station LNs based on computed tomography (CT) images per patient. Then, key features were selected using minimum redundancy maximum relevance algorithm and fed into two radiomic signatures, respectively. Meanwhile, the predictive performance of clinical risk factors was studied. Finally, a nomogram was built by merging radiomic signatures and clinical risk factors and evaluated by the area under the receiver operator characteristic curve (AUC) as well as decision curve. Results Two radiomic signatures, reflecting phenotypes of the tumor and LNs respectively, were significantly associated with LN metastasis. A nomogram incorporating two radiomic signatures and CT-reported LN metastasis status showed good discrimination of LN metastasis in both the training cohort (AUC 0.915; 95% confidence interval [CI] 0.832–0.998) and testing cohort (AUC 0.908; 95% CI 0.814–1.000). The decision curve also indicated its potential clinical usefulness. Conclusions The nomogram received favorable predictive accuracy in predicting No.3 LNM in T1-2 GC, and the nomogram showed positive role in predicting LNM in No.4 LNs. The nomogram may be used to predict LNM in T1-2 GC and could assist the choice of therapy.

scholarly journals Consolidation Tumor Ratio Combined With Pathological Features Could Predict Status of Lymph Nodes of Early-Stage Lung Adenocarcinoma

2022 ◽  
Vol 11 ◽  
Author(s):  
Liang Zhao ◽  
Guangyu Bai ◽  
Ying Ji ◽  
Yue Peng ◽  
Ruochuan Zang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Validation Cohort ◽  
Frozen Sections ◽  
Paraffin Sections ◽  
Training Cohort ◽  
Node Metastasis ◽  
The Status

IntroductionStage IA lung adenocarcinoma manifested as part-solid nodules (PSNs), has attracted immense attention owing to its unique characteristics and the definition of its invasiveness remains unclear. We sought to develop a nomogram for predicting the status of lymph nodes of this kind of nodules.MethodsA total of 2,504 patients between September 2018 to October 2020 with part-solid nodules in our center were reviewed. Their histopathological features were extracted from paraffin sections, whereas frozen sections were reviewed to confirm the consistency of frozen sections and paraffin sections. Univariate and multivariate logistic regression analyses and Akaike information criterion (AIC) variable selection were performed to assess the risk factors of lymph node metastasis and construct the nomogram. The nomogram was subjected to bootstrap internal validation and external validation. The concordance index (C-index) was applied to evaluate the predictive accuracy and discriminative ability.ResultsWe enrolled 215 and 161 eligible patients in the training cohort and validation cohort, respectively. The sensitivity between frozen and paraffin sections on the presence of micropapillary/solid subtype was 78.4%. Multivariable analysis demonstrated that MVI, the presence of micropapillary/solid subtype, and CTR >0.61 were independently associated with lymph node metastasis (p < 0.01). Five risk factors were integrated into the nomogram. The nomogram demonstrated good accuracy in estimating the risk of lymph node metastasis, with a C-index of 0.945 (95% CI: 0.916–0.974) in the training cohort and a C-index of 0.975 (95% CI: 0.954–0.995) in the validation cohort. The model’s calibration was excellent in both cohorts.ConclusionThe nomogram established showed excellent discrimination and calibration and could predict the status of lymph nodes for patients with ≤3 cm PSNs. Also, this prediction model has the prediction potential before the end of surgery.

scholarly journals Risk factors of the suprasternal lymph node metastasis in papillary thyroid carcinoma with clinical lateral cervical lymph node metastasis

2020 ◽  
Author(s):  
Hyun-Keun Kwon ◽  
Yong-Il Cheon ◽  
Sung-Chan Shin ◽  
Eui-Suk Sung ◽  
Jin-Choon Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Cervical Lymph Node ◽  
Cervical Lymph Node Metastasis ◽  
Nodal Metastasis ◽  
Papillary Thyroid ◽  
Inferior Pole ◽  
Node Metastasis

Abstract Background: Metastatic lymph nodes are occasionally found in the suprasternal lymph nodes in patients with papillary thyroid cancer (PTC), but there are few studies on these lymph nodes. Therefore, we investigated the frequency and risk factors of suprasternal lymph node metastasis in PTC patients with lateral cervical lymph node metastasis.Methods: A total of 85 patients with cN1b PTC underwent total thyroidectomy with elective lateral neck dissection including the suprasternal lymph nodes. We analyzed the correlation between suprasternal lymph node metastasis and sex, age, tumor characteristics, and cervical lymph node metastasis status.Results: Eleven patients (12.9%) had pathological suprasternal lymph node metastasis. Suprasternal lymph node metastasis was associated with tumors located in the inferior pole and level IV lymph node metastasis.Conclusion: In cN1b PTC patients, especially those with inferior pole tumors and level IV nodal metastasis, the suprasternal lymph node should be routinely dissected.

scholarly journals Risk factors of lymph node metastasis in the splenic hilum of gastric cancer patients: A meta-analysis

2020 ◽  
Author(s):  
Jun Du ◽  
Yangchao Shen ◽  
Wenwu Yan ◽  
Jinguo Wang
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Tumor Size ◽  
Vascular Invasion ◽  
Meta Analysis ◽  
Splenic Hilum ◽  
Node Metastasis

Abstract Background It remains controversial whether splenic hilum lymph nodes (SHLNs) should be excised in radical gastrectomy with D2 lymph node dissection. In this study, we evaluated the role of clinicopathological features in patients with gastric cancer in predicting splenic hilum lymph nodes metastasis.Methods We searched the Medline, Embase, PubMed and Web of Science databases from inception to May 2020 and consulted related references. 15 articles with a total of 4377 patients were included finally. The odds ratios (ORs) of each risk factor and the corresponding 95% confidence interval (CI) were determined using Revman 5.3 software. Results Meta-analysis showed that tumor size greater than 5 cm (p < 0.01), tumor localization in the greater curvature (p < 0.01), diffuse type (Lauren’s type) (p < 0.01), Borrman type 3–4 (p < 0.01), poor differentiation and undifferentiation (p < 0.01), depth of invasion T3–T4 (p < 0.01), number of lymph node metastases N2–N3 (p < 0.01), distance metastasis M1 (p < 0.01), TNM stage 3–4 (p < 0.01), vascular invasion (p = 0.01), and lymphatic invasion (p < 0.01) were risk factors of SHLNs metastasis. Moreover, No. 1-, 2-, 3-, 4sa-, 4sb-, 4d-, 6-, 7-, 9-, 11-, and 16-positive lymph node metastasis are strongly associated with splenic hilum lymph nodes metastasis.Conclusions Tumor size, tumor location, Lauren’s type, Borrman type, degree of differentiation, T stage, N stage, M stage, TNM stage, vascular invasion, lymphatic infiltration, and other positive lymph nodes metastasis were risk factors for SHLNs.

Sign in / Sign up

Export Citation Format

Share Document