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Consistency mapping of 16 lymph node stations in gastric cancer by CT-based vessel-guided delineation of 255 patients

In order to refine the location and metastasis-risk density of 16 lymph node stations of gastric cancer for neoadjuvant radiotherapy, we retrospectively reviewed the initial images and pathological reports of 255 gastric cancer patients with lymphatic metastasis. Metastatic lymph nodes identified in...

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Autores principales: Xu, Shuhang, Feng, Lingling, Chen, Yongming, Sun, Ying, Lu, Yao, Huang, Shaomin, Fu, Yang, Zheng, Rongqin, Zhang, Yujing, Zhang, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522214/
https://www.ncbi.nlm.nih.gov/pubmed/28611300
http://dx.doi.org/10.18632/oncotarget.18407
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author Xu, Shuhang
Feng, Lingling
Chen, Yongming
Sun, Ying
Lu, Yao
Huang, Shaomin
Fu, Yang
Zheng, Rongqin
Zhang, Yujing
Zhang, Rong
author_facet Xu, Shuhang
Feng, Lingling
Chen, Yongming
Sun, Ying
Lu, Yao
Huang, Shaomin
Fu, Yang
Zheng, Rongqin
Zhang, Yujing
Zhang, Rong
author_sort Xu, Shuhang
collection PubMed
description In order to refine the location and metastasis-risk density of 16 lymph node stations of gastric cancer for neoadjuvant radiotherapy, we retrospectively reviewed the initial images and pathological reports of 255 gastric cancer patients with lymphatic metastasis. Metastatic lymph nodes identified in the initial computed tomography images were investigated by two radiologists with gastrointestinal specialty. A circle with a diameter of 5 mm was used to identify the central position of each metastatic lymph node, defined as the LNc (the central position of the lymph node). The LNc was drawn at the equivalent location on the reference images of a standard patient based on the relative distances to the same reference vessels and the gastric wall using a Monaco® version 5.0 workstation. The image manipulation software Medi-capture was programmed for image analysis to produce a contour and density atlas of 16 lymph node stations. Based on a total of 2846 LNcs contoured (31–599 per lymph node station), we created a density distribution map of 16 lymph node drainage stations of the stomach on computed tomography images, showing the detailed radiographic delineation of each lymph node station as well as high-risk areas for lymph node metastasis. Our mapping can serve as a template for the delineation of gastric lymph node stations when defining clinical target volume in pre-operative radiotherapy for gastric cancer.
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spelling pubmed-55222142017-08-21 Consistency mapping of 16 lymph node stations in gastric cancer by CT-based vessel-guided delineation of 255 patients Xu, Shuhang Feng, Lingling Chen, Yongming Sun, Ying Lu, Yao Huang, Shaomin Fu, Yang Zheng, Rongqin Zhang, Yujing Zhang, Rong Oncotarget Research Paper In order to refine the location and metastasis-risk density of 16 lymph node stations of gastric cancer for neoadjuvant radiotherapy, we retrospectively reviewed the initial images and pathological reports of 255 gastric cancer patients with lymphatic metastasis. Metastatic lymph nodes identified in the initial computed tomography images were investigated by two radiologists with gastrointestinal specialty. A circle with a diameter of 5 mm was used to identify the central position of each metastatic lymph node, defined as the LNc (the central position of the lymph node). The LNc was drawn at the equivalent location on the reference images of a standard patient based on the relative distances to the same reference vessels and the gastric wall using a Monaco® version 5.0 workstation. The image manipulation software Medi-capture was programmed for image analysis to produce a contour and density atlas of 16 lymph node stations. Based on a total of 2846 LNcs contoured (31–599 per lymph node station), we created a density distribution map of 16 lymph node drainage stations of the stomach on computed tomography images, showing the detailed radiographic delineation of each lymph node station as well as high-risk areas for lymph node metastasis. Our mapping can serve as a template for the delineation of gastric lymph node stations when defining clinical target volume in pre-operative radiotherapy for gastric cancer. Impact Journals LLC 2017-06-08 /pmc/articles/PMC5522214/ /pubmed/28611300 http://dx.doi.org/10.18632/oncotarget.18407 Text en Copyright: © 2017 Xu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Xu, Shuhang
Feng, Lingling
Chen, Yongming
Sun, Ying
Lu, Yao
Huang, Shaomin
Fu, Yang
Zheng, Rongqin
Zhang, Yujing
Zhang, Rong
Consistency mapping of 16 lymph node stations in gastric cancer by CT-based vessel-guided delineation of 255 patients
title Consistency mapping of 16 lymph node stations in gastric cancer by CT-based vessel-guided delineation of 255 patients
title_full Consistency mapping of 16 lymph node stations in gastric cancer by CT-based vessel-guided delineation of 255 patients
title_fullStr Consistency mapping of 16 lymph node stations in gastric cancer by CT-based vessel-guided delineation of 255 patients
title_full_unstemmed Consistency mapping of 16 lymph node stations in gastric cancer by CT-based vessel-guided delineation of 255 patients
title_short Consistency mapping of 16 lymph node stations in gastric cancer by CT-based vessel-guided delineation of 255 patients
title_sort consistency mapping of 16 lymph node stations in gastric cancer by ct-based vessel-guided delineation of 255 patients
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522214/
https://www.ncbi.nlm.nih.gov/pubmed/28611300
http://dx.doi.org/10.18632/oncotarget.18407
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