Management of malignant colon and rectal polyps (T1) after endoscopic polypectomy: analysis of pathological risk factors for lymph nodes metastasis. A retrospective multicentric observational study. POST-1 (Polypectomy Or Surgery for T1)

2019 ◽  
Vol 45 (2) ◽  
pp. e52-e53
Author(s):  
D. Parini ◽  
L. Saadeh ◽  
M. Zizzo ◽  
J. Sancho-Muriel ◽  
L. Lorenzon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Observational Study ◽  
Lymph Nodes ◽  
Endoscopic Polypectomy ◽  
Lymph Nodes Metastasis ◽  
Rectal Polyps

scholarly journals Pattern and Risk Factors of Central Compartment Lymph Node Metastasis in Papillary Thyroid Cancer: A Prospective Study from an Endocrine Surgery Centre

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Sudhi Agarwal ◽  
Gyan Chand ◽  
Sushila Jaiswal ◽  
Anjali Mishra ◽  
Gaurav Agarwal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Thyroid Cancer ◽  
Lymph Nodes ◽  
Tumour Size ◽  
Central Compartment ◽  
Papillary Thyroid ◽  
Lymph Nodes Metastasis ◽  
Lymph Nodes Dissection ◽  
A Prospective Study

Lymphatic metastasis in papillary thyroid cancer (PTC) is eminent; however, the extent of central compartment lymph nodes dissection (CCD) is controversial and requires the knowledge of pattern and risk factors for central compartment lymph nodes metastasis (CCM). We did a prospective study of 47 cases with PTC who underwent total thyroidectomy (TT) with CCD with/without lateral lymph nodes dissection (LND). Clinicopathological profile including CCM as ipsilateral and contralateral was documented. On histopathology, the mean tumour size was3.57±2.42 cm 59.6% had CCM, which was bilateral in the majority (60.72%). The tumour-size was the most important predictor for lymph nodes metastasis-(P=0.018) whereas multicentricity-(P=0.002) and ipsilateral CCM-(P=0.001) were the predictors for contralateral CCM. The long-term morbidity of CCD done in primary setting is comparable with TT-alone. Bilateral CCD should be done with thyroidectomy in PTC, otherwise the risk of residual diseases and subsequent recurrence is high. The long-term morbidity is comparable in experienced hands.

scholarly journals Risk Factors for Pathologically Confirmed Lymph Nodes Metastasis in Patients With Clinical T2N0M0 Stage Prostate Cancer

2020 ◽  
Vol 10 ◽  
Author(s):  
Ning Xu ◽  
Zhi-Bin Ke ◽  
Ye-Hui Chen ◽  
Yu-Peng Wu ◽  
Shao-Hao Chen ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Lymph Nodes ◽  
Lymph Nodes Metastasis

Risk Factors for Metastasis to No.253 Lymph Node for Colorectal Cancer Patients

2020 ◽  
Author(s):  
Zhouyuan Du ◽  
Dianshi Wang ◽  
Yuan Li ◽  
Peng Hu ◽  
Chuanqing Wu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Lymphovascular Invasion ◽  
Perineural Invasion ◽  
Radical Resection ◽  
Histologic Grade ◽  
Tumor Type ◽  
Lymph Nodes Metastasis

Abstract Background: No.253 lymph nodes metastasis is related to poor prognosis of colorectal cancer, while the role of No.253 lymph nodes dissection in colorectal cancer is still controversial.Methods: A total of 157 patients who were received laparoscopic radical resection of colorectal cancer with preservation of the left colon artery + D3 lymph node dissection (low ligation + high dissection) in our hospital were enrolled. No.253 lymph nodes of each patients were dissected and sent for examination. Clinicaopathological factors correlated with No.253 lymph nodes metastasis, including gender, age, tumor location, tumor size, length of tumor from the anus, whether lymphovascular invasion, whether perineural invasion, tumor markers CEA, CA125 and CA199, tumor T stage, whether it is distant metastasis, the total number of lymph nodes harvested, tumor type, and histologic grade were respectively analyzed.Results: A total of 2286 lymph nodes were sent for examination, of which 557 No.253 lymph nodes were sent for examination. Among them, 5 patients had a total of 27 No.253 lymph node metastases. Preoperative CA125 level (X2=4.736, p=0.030), whether perineural invasion (X2=8.086, p<0.01), whether lymphovascular invasion (X2= 7.053, p<0.01), tumor type (X2=21.019, p<0.01), histologic grade (X2=15.315, p<0.01) were significantly correlated with positive No.253 lymph nodes metastasis. A multivariate logistic regression analysis showed that none of risk factor from above are independent risk factors for No.253 lymph node metastasis(P>0.05).Conclusion: Preoperative CA125 level, whether perineural invasion, whether lymphovascular invasion, tumor type, histologic grade were risk factors of the No.253 lymph nodes metastasis. Multivariate analysis showed that five risk factors from above were not the independent risk factor for No.253 lymph nodes metastasis. Colorectal cancer patients with the risk factors above were suggested to receive radical resection + D3 lymph node dissection.

scholarly journals Lymph nodes metastasis in cervical cancer: Incidences, risk factors, consequences and imaging evaluations

2018 ◽  
Vol 14 (5) ◽  
pp. e380-e385 ◽  
Author(s):  
Rongxu Du ◽  
Lei Li ◽  
Shuiqing Ma ◽  
Xianjie Tan ◽  
Sen Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cervical Cancer ◽  
Lymph Nodes ◽  
Lymph Nodes Metastasis

scholarly journals Risk factors and predictors of lymph nodes metastasis and distant metastasis in newly diagnosed T1 colorectal cancer

2020 ◽  
Vol 9 (14) ◽  
pp. 5095-5113 ◽  
Author(s):  
Kaibo Guo ◽  
Yuqian Feng ◽  
Li Yuan ◽  
Harpreet S. Wasan ◽  
Leitao Sun ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Lymph Nodes ◽  
Distant Metastasis ◽  
Newly Diagnosed ◽  
Lymph Nodes Metastasis ◽  
T1 Colorectal Cancer

scholarly journals Risk Factors of Synchronous Inguinal Lymph Nodes Metastasis for Lower Rectal Cancer Involving the Anal Canal

PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e111770 ◽  
Author(s):  
Renjie Wang ◽  
Peng Wu ◽  
Debing Shi ◽  
Hongtu Zheng ◽  
Liyong Huang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Rectal Cancer ◽  
Lymph Nodes ◽  
Anal Canal ◽  
Lower Rectal Cancer ◽  
Inguinal Lymph Nodes ◽  
Lymph Nodes Metastasis

scholarly journals Risk factors and distribution features of level IB lymph nodes metastasis in nasopharyngeal carcinoma

2019 ◽  
Vol 46 (3) ◽  
pp. 457-464 ◽  
Author(s):  
Lei Zeng ◽  
Qin Zhang ◽  
Fan Ao ◽  
Chun-Ling Jiang ◽  
Yun Xiao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Nasopharyngeal Carcinoma ◽  
Lymph Nodes ◽  
Lymph Nodes Metastasis ◽  
Distribution Features

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

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