366 CLINICAL NOMOGRAM MODEL FOR RECURRENT LARYNGEAL NERVE LYMPH NODE METASTASIS IN ESOPHAGEAL SQUAMOUS CELL CARCINOMA: A RETROSPECTIVE MULTICENTER STUDY

2020 ◽  
Vol 33 (Supplement_1) ◽  
Author(s):  
D Tian ◽  
X He ◽  
Y Yang ◽  
L Chen
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Recurrent Laryngeal Nerve ◽  
Tumor Size ◽  
Tumor Location ◽  
Laryngeal Nerve ◽  
Tumor Differentiation ◽  
Node Metastasis ◽  
T Stage ◽  
Positive Groups

Abstract   Recurrent laryngeal nerve lymph node metastasis (RLN LNM) is not rare in patients with esophageal cancer. We aimed to explore the risk factors for RLN LNM and to develop a nomogram predicting the likelihood of RLN LNM in esophageal squamous cell carcinoma (ESCC) patients. Methods We retrospectively reviewed patients with ESCC who underwent esophagectomy as well as recurrent laryngeal nerve lymph node dissection between May 2015 and February 2019 at two different institutions. The patients were divided into negative and positive groups according to the presence of RLN LNM. Risk factors for RLN LNM were evaluated by univariate and multivariate analyses. A nomogram was constructed for presentation of the final model. Results A total of 390 patients with ESCC were included in this study. The differences in tumor location, tumor differentiation, T stage, tumor size and carcinoembryonic antigen (CEA) between the negative (N = 270) and positive groups (N = 120) RLN LNM were significant (P < 0.05). Multivariate analysis indicated that the tumor location (OR = 0.520, 95% CI: 0.361–0.749, P < 0.001), tumor differentiation (OR = 2.279, 95% CI: 1.586–3.276, P < 0.001), T stage (OR = 1.436, 95% CI: 1.029–2.003, P = 0.033), tumor size (OR = 1.781, 95% CI: 1.021–3.106, P = 0.042) and CEA (OR = 1.206, 95% CI: 1.003–1.450, P = 0.046) were independent risk factors for RLN LNM. A nomogram with these variables had good predictive accuracy (c-index: 0.716). Conclusion Tumor location, tumor differentiation, T stage, tumor size and CEA may predict the risk of RLN LNM. We created a nomogram predicting the likelihood of RLN LNM in patients with ESCC.

scholarly journals Development of Nomograms for Predicting Lymph Node Metastasis and Distant Metastasis in Newly Diagnosed T1-2 Non-Small Cell Lung Cancer: A Population-Based Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Yiming Qi ◽  
Shuangshuang Wu ◽  
Linghui Tao ◽  
Yunfu Shi ◽  
Wenjuan Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Small Cell Lung Cancer ◽  
Distant Metastasis ◽  
Tumor Size ◽  
Small Cell ◽  
Small Cell Lung ◽  
Node Metastasis

BackgroundFor different lymph node metastasis (LNM) and distant metastasis (DM), the diagnosis, treatment and prognosis of T1-2 non-small cell lung cancer (NSCLC) are different. It is essential to figure out the risk factors and establish prediction models related to LNM and DM.MethodsBased on the surveillance, epidemiology, and end results (SEER) database from 1973 to 2015, a total of 43,156 eligible T1-2 NSCLC patients were enrolled in the retrospective study. Logistic regression analysis was used to determine the risk factors of LNM and DM. Risk factors were applied to construct the nomograms of LNM and DM. The predictive nomograms were discriminated against and evaluated by Concordance index (C-index) and calibration plots, respectively. Decision curve analysis (DCAs) was accepted to measure the clinical application of the nomogram. Cumulative incidence function (CIF) was performed further to detect the prognostic role of LNM and DM in NSCLC-specific death (NCSD).ResultsEight factors (age at diagnosis, race, sex, histology, T-stage, marital status, tumor size, and grade) were significant in predicting LNM and nine factors (race, sex, histology, T-stage, N-stage, marital status, tumor size, grade, and laterality) were important in predicting DM(all, P< 0.05). The calibration curves displayed that the prediction nomograms were effective and discriminative, of which the C-index were 0.723 and 0.808. The DCAs and clinical impact curves exhibited that the prediction nomograms were clinically effective.ConclusionsThe newly constructed nomograms can objectively and accurately predict LNM and DM in patients suffering from T1-2 NSCLC, which may help clinicians make individual clinical decisions before clinical management.

scholarly journals Indications of Lymph Node Metastasis and Survival Analysis in T1N+M0 Gastric Cancer: a Population-Based Study

2020 ◽  
Author(s):  
Peng Jin ◽  
Yang Li ◽  
Shuai Ma ◽  
Wenzhe Kang ◽  
Hao Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Survival Analysis ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Size ◽  
Multivariate Analyses ◽  
Invasion Depth ◽  
Node Metastasis ◽  
Definition Of

Abstract Background Since the definition of early gastric cancer (EGC) was first proposed in 1971, the treatment of gastric cancer with or without lymph node metastasis (LNM) has changed a lot. The present study aims to identify risk factors for LNM and prognosis, and to further evaluate the indications for adjuvant chemotherapy (AC) in T1N + M0 gastric cancer. Methods A total of 1291 patients with T1N + M0 gastric cancer were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate analyses were performed to identify risk factors for LNM. The effect of LNM on overall survival (OS) and cancer-specific survival (CSS) was compared with patients grouped into T1N0-1 and T1N2-3, as the indications for AC. Results The rate of LNM was 19.52%. Multivariate analyses showed age, tumor size, invasion depth, and type of differentiation and retrieved LNs were associated with LNM (p < 0.05). Cox multivariate analyses indicated age, sex, tumor size, N stage were independent predictors of OS and CSS (p < 0.05), while race was indicator for OS (HR 0.866; 95%CI 0.750–0.999, p = 0.049), but not for CSS (HR 0.878; 95% CI 0.723–1.065, p = 0.187). In addition, survival analysis showed the proportion of patients in N+/N0 was better distributed than N0-1/N2-3b. There were statistically significant differences in OS and CSS between patients with and without chemotherapy in pT1N1M0 patients (p༜0.05). Conclusions Both tumor size and invasion depth are associated with LNM and prognosis. LNM is an important predictor of prognosis. pT1N + M0 may be appropriate candidates for AC. Currently, the treatment and prognosis of T1N0M0/T1N + M0 are completely different. An updated definition of EGC, taking into tumor size, invasion depth and LNM, may be more appropriate in an era of precision medicine.

VS01.06: THORACOSCOPIC EXTENDED LYMPHADENECTOMY FOR EGJ CANCER: AN OPTION TO LEARN FROM THE EAST

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 45-45
Author(s):  
Simone Giacopuzzi ◽  
Jacopo Weindelmayer ◽  
Giovanni De Manzoni
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Recurrent Laryngeal Nerve ◽  
Esophagogastric Junction ◽  
Conflicts Of Interest ◽  
Laryngeal Nerve ◽  
Extended Lymphadenectomy ◽  
Node Dissection ◽  
Node Metastasis ◽  
The Right

Abstract Description Extended thoracoscopic lymphadenectomy is not common practice in Western countries in patients with adenocarcinoma of the esophagogastric junction. In this video we present a case of a patient with siewert I adenocarcinoma with lymph node metastasis to the right recurrent laryngeal nerve not treated with neoadjuvant therapy, due to comorbidity. The operation was: extended thoracoscopic en-block lymph node dissection. video will be edited in a more rigorous manner Disclosure All authors have declared no conflicts of interest.

RA09.07: SURGICAL MANAGEMENT OF EARLY ESOPHAGEAL CANCER BASED ON LYMPH NODE METASTASIS RISK.

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 41-41
Author(s):  
Xiaofeng Duan ◽  
Zhentao Yu
Keyword(s):  
Risk Factors ◽  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Node Dissection ◽  
Tumor Location ◽  
Individual Risk ◽  
Node Dissection ◽  
Early Esophageal Cancer ◽  
Node Metastasis ◽  
The Individual

Abstract Background Esophagectomy and lymph node dissection is still the main treatment for esophageal cancer. Endoscopic mucosal resection and submucosal dissection are increasingly becoming a treatment of choice to preserve the integrity of the esophagus and decrease the surgical trauma in early esophageal cancer. However, lymph node metastasos (LNM) risk is still a debate focus for the decision of treatment selection. Our objective was to evaluate the prevalence, pattern and risk factors of LNM in early stage esophageal cancer to improve surgical treatment allocation. Methods We identified patients with pathological T1 stage esophageal cancer who underwent esophagectomy and lymph node dissection. The pattern of LNM was analyzed and the risk factors related to LNM were assessed by univariate and multivariable logistic regression analysis.The nomogram model was used to estimate the individual risk of lymph node metastasis. Results In 143 patients, LNM rates were: all patients 17.5%, T1a 8.0%, and T1b 22.5% for T1b. Depth of tumor infiltration (P < 0.05), tumor size (P < 0.01), tumor location (P < 0.05), and tumor differentiation (P < 0.01) were independent risk factors related to LNM. These four parameters allowed the compilation of a nomogram to estimate the individual risk of LNM. Fig. Nomogram to estimate the individual risk of LNM. Each characteristic of the included parameters scores a specific number of points (points per parameter). The summarized total points score indicates the probability of LNM. For a middle esophageal cancer with middle differentiated (G2), 3 cm tumor (> 2.5cm) that invades the submucosa (pT1b), the calculated total scores is 129.5 = 87.5 + 21 + 0 + 21, hence the corresponding LNM risk is 20%. Conclusion T1 esophageal cancer has a relatively high LNM rate, and the depth of tumor infiltration, tumor size, tumor location and tumor differentiation are correlated with LNM. Nomograms that include factors can be used to predict individual LNM risk. The LNM risk and extent must be considered comprehensively in decision-making of a better surgical treatment and lymph node dissection strategy. Disclosure All authors have declared no conflicts of interest.

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.

P152 CLINICAL PREDICTIVE MODEL OF LYMPH NODE METASTASIS AT RIGHT RECURRENT LARYNGEAL NERVE ZONE IN ESOPHAGEAL SQUAMOUS CELL CARCINOMA

2019 ◽  
Vol 32 (Supplement_2) ◽  
Author(s):  
Li Zhigang ◽  
Li Baiwei ◽  
Li Bin ◽  
Yang Yang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Squamous Cell Carcinoma ◽  
Lymph Nodes ◽  
Recurrent Laryngeal Nerve ◽  
Laryngeal Nerve ◽  
Node Metastasis ◽  
Short Diameter

Abstract Aim The aim of this study is to establish a clinical predictive standard for lymph node metastasis at this location by retrospectively comparing the traditional imaging findings of RRLN lymph nodes in esophageal squamous cell carcinoma with postoperative pathology. Background The right recurrent laryngeal nerve (RRLN) is the zone most prone to lymph node metastasis of esophageal squamous cell carcinoma. Although the survival benefit is large after surgical dissection, however, the postoperative mortality rate is significantly increased if the nerve is injured. How to selectively perform lymph node dissection at this location has always been a clinical problem that needs to be addressed. In the past, clinical evaluations mostly used lymph node short diameter ≥1cm as the diagnostic criteria for metastasis, which significantly underestimated the actual clinical situation. Methods 308 patients with thoracic esophageal squamous cell carcinoma who underwent surgical treatment in Shanghai Chest Hospital from Jan 2018 to Dec 2018 were retrospectively analyzed. According to imaging 1mm layer thickness enhanced CT as a tool, the RRLN lymph node short diameter (ctNd) size was measured. All patients were divided into four groups: (A) CT images without RRLN lymph node, (B) CT images with RRLN lymph node was 0<ctNd<5mm, (C) CT images with RRLN lymph node was 5mm≤ctNd<10mm, (D) CT images with RRLN lymph node was ctNd≥10mm. The RRLN lymph node metastasis of each group was analyzed, and the influencing factors were analyzed to establish a predictive model. Results Among all patients, 87.6% of the patients had lymph nodes detected in the RRLN surgical specimens. The sampling rate was 14.5% (121/832), the RRLN lymph node metastasis rate was 19.48%, and the total lymph node metastasis rate was 48.7%. RRLN lymph nodes (57.1%) (A-132, B-43, C-125, D-9) were seen in the preoperative CT scan of 176 patients. The postoperative pathological RRLN lymph node metastasis rate was 9.1%, 18.6%, 27.2% and 66.7%, respectively (P=0.01). Multivariate analysis showed that ctNd, tumor location and N stage were risk factors for RRLN lymph node metastasis (P<0.05). The risk of upper esophageal cancer metastasis was higher than middle segment esophageal cancer (28.2% vs 18.6%, P<0.05). The higher the risk of right laryngeal lymph node metastasis was detected in the later N stage (cN0-13.2%, cN1-21.5%, cN2-46.7%, P<0.05). The 6.5mm short diameter of RRLN lymph nodes on CT scan is the critical value of metastasis at this position (sensitivity 50%, specificity 83.5%), and the higher the risk of metastasis was seen in the larger the short diameter (P<0.05). Conclusion More than 6.5mm short diameter in the CT scan image should be the clinical predictor of lymph node metastasis of the right recurrent laryngeal nerve. The higher risk of metastasis was seen in the greater short diameter. Upper esophageal cancer and multiple lymph node metastasis increase the risk of RRLN lymph node metastasis. Key words esophageal cancer, lymph node metastasis, recurrent laryngeal nerve, computed tomography

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