scholarly journals Risk Factors for Lymph Node Metastasis and Survival Outcomes in Colorectal Neuroendocrine Tumors

2020 ◽  
Vol Volume 12 ◽  
pp. 7151-7164
Author(s):  
Zijian Wu ◽  
Zhijie Wang ◽  
Zhaoxu Zheng ◽  
Jianjun Bi ◽  
Xishan Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Neuroendocrine Tumors ◽  
Survival Outcomes ◽  
Node Metastasis

scholarly journals Risk factors for lymph node metastasis in duodenal neuroendocrine tumors

Medicine ◽  
2019 ◽  
Vol 98 (23) ◽  
pp. e15885 ◽  
Author(s):  
Sang Gyu Park ◽  
Bong Eun Lee ◽  
Gwang Ha Kim ◽  
Joon Woo Park ◽  
Moon Won Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Neuroendocrine Tumors ◽  
Node Metastasis ◽  
Duodenal Neuroendocrine Tumors

scholarly journals Difficulty of predicting lymph node metastasis on CT in patients with rectal neuroendocrine tumors

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0211675 ◽  
Author(s):  
Hajime Ushigome ◽  
Yosuke Fukunaga ◽  
Toshiya Nagasaki ◽  
Takashi Akiyoshi ◽  
Tsuyoshi Konishi ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Neuroendocrine Tumors ◽  
Node Metastasis

scholarly journals A nomogram to predict lymph node metastasis risk for early esophageal squamous cell carcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaofeng Duan ◽  
Xiaobin Shang ◽  
Jie Yue ◽  
Zhao Ma ◽  
Chuangui Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Early Stage ◽  
Derivation Cohort ◽  
Node Metastasis

Abstract Background A nomogram was developed to predict lymph node metastasis (LNM) for patients with early-stage esophageal squamous cell carcinoma (ESCC). Methods We used the clinical data of ESCC patients with pathological T1 stage disease who underwent surgery from January 2011 to June 2018 to develop a nomogram model. Multivariable logistic regression was used to confirm the risk factors for variable selection. The risk of LNM was stratified based on the nomogram model. The nomogram was validated by an independent cohort which included early ESCC patients underwent esophagectomy between July 2018 and December 2019. Results Of the 223 patients, 36 (16.1%) patients had LNM. The following three variables were confirmed as LNM risk factors and were included in the nomogram model: tumor differentiation (odds ratio [OR] = 3.776, 95% confidence interval [CI] 1.515–9.360, p = 0.004), depth of tumor invasion (OR = 3.124, 95% CI 1.146–8.511, p = 0.026), and tumor size (OR = 2.420, 95% CI 1.070–5.473, p = 0.034). The C-index was 0.810 (95% CI 0.742–0.895) in the derivation cohort (223 patients) and 0.830 (95% CI 0.763–0.902) in the validation cohort (80 patients). Conclusions A validated nomogram can predict the risk of LNM via risk stratification. It could be used to assist in the decision-making process to determine which patients should undergo esophagectomy and for which patients with a low risk of LNM, curative endoscopic resection would be sufficient.

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