Cargando…
Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma
In order to predict related risk factors for lymph node metastasis (LNM) in patients with superficial esophageal carcinoma (SEC) and provide reference for endoscopic minimally invasive treatment, we included a total of 93 patients with superficial esophageal carcinoma who have underwent esophagectom...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069363/ https://www.ncbi.nlm.nih.gov/pubmed/27799939 http://dx.doi.org/10.1155/2016/3797615 |
_version_ | 1782460920296898560 |
---|---|
author | Jia, Ruzhen Luan, Qinsong Wang, Jing Hou, Dongsheng Zhao, Shulei |
author_facet | Jia, Ruzhen Luan, Qinsong Wang, Jing Hou, Dongsheng Zhao, Shulei |
author_sort | Jia, Ruzhen |
collection | PubMed |
description | In order to predict related risk factors for lymph node metastasis (LNM) in patients with superficial esophageal carcinoma (SEC) and provide reference for endoscopic minimally invasive treatment, we included a total of 93 patients with superficial esophageal carcinoma who have underwent esophagectomy and lymph node dissection from 2010 to 2015. The depth of invasion was remeasured and classified into 6 groups according to their wall penetration. The prediction model was founded based on the independent risk factors. The results shows that lymph node metastasis of m1, m2, m3, sm1, sm2, and sm3 of superficial esophageal carcinoma was 0%, 0%, 5.3%, 8.7%, 17.6%, and 37.5%, respectively. The tumor size, differentiation, and lymphvascular invasion were also significantly related to lymph node metastasis by univariate analysis. Multivariate analysis showed that the depth of invasion and lymphovascular invasion were independent risk factors of lymph node metastasis. A prediction model for lymph node metastasis was established as follows: p = e (x)/(1 + e (x)), and x = −5.469 + 0.839 × depth of invasion + 1.992 × lymphavascular metastasis. The area under ROC curve was 0.858 (95% CI: 0.757–0.959). It was also shown that the depth of invasion was related to tumor differentiation, macroscopic type, and tumor size. |
format | Online Article Text |
id | pubmed-5069363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-50693632016-10-31 Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma Jia, Ruzhen Luan, Qinsong Wang, Jing Hou, Dongsheng Zhao, Shulei Gastroenterol Res Pract Research Article In order to predict related risk factors for lymph node metastasis (LNM) in patients with superficial esophageal carcinoma (SEC) and provide reference for endoscopic minimally invasive treatment, we included a total of 93 patients with superficial esophageal carcinoma who have underwent esophagectomy and lymph node dissection from 2010 to 2015. The depth of invasion was remeasured and classified into 6 groups according to their wall penetration. The prediction model was founded based on the independent risk factors. The results shows that lymph node metastasis of m1, m2, m3, sm1, sm2, and sm3 of superficial esophageal carcinoma was 0%, 0%, 5.3%, 8.7%, 17.6%, and 37.5%, respectively. The tumor size, differentiation, and lymphvascular invasion were also significantly related to lymph node metastasis by univariate analysis. Multivariate analysis showed that the depth of invasion and lymphovascular invasion were independent risk factors of lymph node metastasis. A prediction model for lymph node metastasis was established as follows: p = e (x)/(1 + e (x)), and x = −5.469 + 0.839 × depth of invasion + 1.992 × lymphavascular metastasis. The area under ROC curve was 0.858 (95% CI: 0.757–0.959). It was also shown that the depth of invasion was related to tumor differentiation, macroscopic type, and tumor size. Hindawi Publishing Corporation 2016 2016-10-05 /pmc/articles/PMC5069363/ /pubmed/27799939 http://dx.doi.org/10.1155/2016/3797615 Text en Copyright © 2016 Ruzhen Jia et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Jia, Ruzhen Luan, Qinsong Wang, Jing Hou, Dongsheng Zhao, Shulei Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma |
title | Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma |
title_full | Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma |
title_fullStr | Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma |
title_full_unstemmed | Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma |
title_short | Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma |
title_sort | analysis of predictors for lymph node metastasis in patients with superficial esophageal carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069363/ https://www.ncbi.nlm.nih.gov/pubmed/27799939 http://dx.doi.org/10.1155/2016/3797615 |
work_keys_str_mv | AT jiaruzhen analysisofpredictorsforlymphnodemetastasisinpatientswithsuperficialesophagealcarcinoma AT luanqinsong analysisofpredictorsforlymphnodemetastasisinpatientswithsuperficialesophagealcarcinoma AT wangjing analysisofpredictorsforlymphnodemetastasisinpatientswithsuperficialesophagealcarcinoma AT houdongsheng analysisofpredictorsforlymphnodemetastasisinpatientswithsuperficialesophagealcarcinoma AT zhaoshulei analysisofpredictorsforlymphnodemetastasisinpatientswithsuperficialesophagealcarcinoma |