One-dimensional and 2-dimensional tumor size measurement for prediction of lymph node metastasis in differentiated early gastric cancer with minute submucosal invasion

2017 ◽  
Vol 85 (4) ◽  
pp. 730-736 ◽  
Author(s):  
Tae Jun Kim ◽  
Hyuk Lee ◽  
Yang Won Min ◽  
Byung-Hoon Min ◽  
Jun Haeng Lee ◽  
...  
2020 ◽  
Vol 13 ◽  
pp. 175628482093503
Author(s):  
Bolun Jiang ◽  
Li Zhou ◽  
Jun Lu ◽  
Yizhi Wang ◽  
Junchao Guo

Background: It is challenging to identify the prevalence of lymph node metastasis (LNM) and residual tumor in patients with early gastric cancer (EGC) who underwent noncurative endoscopic resection (ER). This present meta-analysis was aimed to establish imperative potential predictive factors in order to select the optimal treatment method. Methods: A systematic literature search of PubMed, Embase, and Cochrane Library databases was performed through 1 February 2019 to identify relevant studies, which investigated risk factors for LNM and residual tumor in patients with EGC who underwent noncurative ER. Eligible data were systematically reviewed through a meta-analysis. Results: Overall, 12 studies investigating the risk factor of LNM were included, totaling 3015 patients, 7 of which also involved cancer residues. After the present meta-analysis, six predictors, including tumor size >30 mm, tumor invasion depth (⩾500 μm from the muscularis mucosae), macroscopic appearance, undifferentiated histopathological type, positive vertical margin, and presence of lymphovascular invasion (including lymphatic invasion and vascular invasion) were significantly associated with LNM, whereas tumor size >30 mm, positive horizontal margin, and positive vertical margin were identified as significant predictors for the risk of residual tumor. No evidence of publication bias was observed. Conclusions: Six and three variables were established as significant risk factors for LNM and residual tumor in patients with EGC who underwent noncurative ER, respectively. Patients with EGC who present these risk factors after noncurative ER are strongly suggested to receive additional surgery, while others might be suitable for strict follow-up. This might shed some new light on the selection of follow-up treatment for noncurative ER.


2020 ◽  
Author(s):  
Jing Qi ◽  
Congbo Zhu ◽  
Weihang Liu ◽  
Sheng Liu ◽  
Gaoqiang Cai ◽  
...  

Abstract Background: Despite the decline in the incidence of gastric cancer, the incidence of early gastric cancer has increased. Hence, understanding the clinicopathological and prognostic features of early gastric cancers could help us understand the development of gastric cancer and improve the prognosis of early gastric cancer. Methods: A total of 244 patients diagnosed with early gastric cancer after surgery at Xiangya Hospital Central South University were retrospectively analyzed. Results: General data showed that in patients with a mean age of 54.30±10.68 years (M:F = 1.6:1), the median tumor size was 2.203±1.245 cm. A total of 15.6% of patients had lymph node metastasis. By univariate analysis, the longest diameter of the tumor, T stage, total number of dissected lymph nodes, number of metastatic lymph nodes, metastatic-to-total dissected lymph node (LN) ratio, vascular invasion, NLRc, and MLRc were associated with disease-free survival; tumor size, invasive depths, vascular invasion, NLRc, MLRc, NWRc and LWRc were associated with lymph node metastasis. Additionally, the longest diameter of tumor and total number of dissected lymph nodes were independent factors for early gastric cancer patients; tumor size, invasive depths, vascular invasion and NLRc were independent risk factors for lymph node metastasis in EGC. Conclusion: The longest diameter of the tumor and total number of dissected LNs were independent prognostic factors for EGC patients. Additionally, the longest diameter of the tumor, tumor invasive depths, vascular invasion and NLRc were the independent risk factors for lymph node metastasis in EGC patients.


2007 ◽  
Vol 246 (5) ◽  
pp. 749-753 ◽  
Author(s):  
Ji Yeong An ◽  
Yong Hae Baik ◽  
Min Gew Choi ◽  
Jae Hyung Noh ◽  
Tae Sung Sohn ◽  
...  

2013 ◽  
Vol 44 (12) ◽  
pp. 2829-2836 ◽  
Author(s):  
Joo-Yeon Kim ◽  
Woo-Gyeong Kim ◽  
Tae-Yong Jeon ◽  
Gwang Ha Kim ◽  
Eun-Hee Jeong ◽  
...  

1998 ◽  
Vol 85 (6) ◽  
pp. 835-839 ◽  
Author(s):  
Kurihara ◽  
Kubota ◽  
Otani ◽  
Ohgami ◽  
Kumai ◽  
...  

Oncotarget ◽  
2017 ◽  
Vol 8 (69) ◽  
pp. 113758-113765 ◽  
Author(s):  
Jeung Hui Pyo ◽  
Sun-Ju Byeon ◽  
Hyuk Lee ◽  
Yang Won Min ◽  
Byung-Hoon Min ◽  
...  

2020 ◽  
Author(s):  
Huakai Tian ◽  
Zuo Zhang ◽  
Zitao Liu ◽  
Cegui Hu ◽  
Jiang Liu ◽  
...  

Abstract Objective This study analyzed the characteristics of early gastric cancer lymph node metastasis and survival prognosis after surgical resection in western population, and established a predictive model.MethodsPatients with stage T1a and T1b gastric cancer from 2010 to 2015 were screened from the surveillance, epidemiology and final outcome databases. Patients with multiple in situ tumors, distant metastases, and incomplete data were excluded. The risk factors for lymph node metastasis in early gastric cancer were analyzed by binary logistic regression and the chi-square test. Multivariate Cox analysis and the Kaplan-Meier test were used to evaluate the prognostic factors and survival rates of patients with early gastric cancer after surgical resection. The prediction model of lymph node metastasis and survival rate of early gastric cancer was established and verified by R software.ResultsIn 2294 patients, the lymph node metastasis rate was 14.5% (333/2294). Binary logistic multivariate regression analysis showed that tumor size (>2cm), tumor grade (III/IV), and stage T1b were risk factors for lymph node metastasis of early gastric cancer. Area under the curve (AUC) is 0.782.A predictive model was developed based on risk factors, and the model C index was 0.771, indicating that the model has good predictive ability. In addition, survival analysis of 2294 patients showed that the 5-year OS and CSS (75.4% and 88.7%) in patients without EGC were significantly higher than those with lymph node metastasis (64.3% and 72.8%) (P<0.05). Multivariate COX analysis showed that age, sex, race, tumor size, submucosal invasion and lymph node metastasis were independent factors influencing the prognosis of early gastric cancer. A cancer-specific survival (CSS) prediction model was constructed based on prognostic risk factors. The 3-year area under the CSS curve (AUC) was 0.706, and the 5-year area under the CSS curve (AUC) was 0.710. The prediction model is more consistent with the actual situation.ConclusionsWe established a reliable prediction model for lymph node metastasis of early gastric cancer and a prognostic model for early gastric cancer, which provided a good basis for clinical treatment decision.


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