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Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer
OBJECTIVE: To establish new diagnostic criteria for improvement of the accuracy of multi-slice spiral computed tomography (MSCT) in diagnosing the N-stage and lymph node (LN) metastasis of gastric cancer (GC). METHODS: MSCT was performed with plain and triphasic dynamic contrast enhancement. Differe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384478/ https://www.ncbi.nlm.nih.gov/pubmed/30501533 http://dx.doi.org/10.1177/0300060518800611 |
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author | Jiang, Min Wang, Xiaoxiao Shan, Xiuhong Pan, Donggang Jia, Yingjun Ni, Enzhen Hu, Yuan Huang, Hao |
author_facet | Jiang, Min Wang, Xiaoxiao Shan, Xiuhong Pan, Donggang Jia, Yingjun Ni, Enzhen Hu, Yuan Huang, Hao |
author_sort | Jiang, Min |
collection | PubMed |
description | OBJECTIVE: To establish new diagnostic criteria for improvement of the accuracy of multi-slice spiral computed tomography (MSCT) in diagnosing the N-stage and lymph node (LN) metastasis of gastric cancer (GC). METHODS: MSCT was performed with plain and triphasic dynamic contrast enhancement. Different regions of LN metastasis and N-staging were determined according to the herein-proposed combined diagnostic criteria and were then correlated with the pathological analysis. The Kappa consistency test was used to study the accuracy of MSCT. RESULTS: The accuracy of MSCT in diagnosing the N-stage as a whole was 86.3%, and that in diagnosing LN metastasis was 79.1% to 98.9%. The Kappa values for stages N0, N1, and N3 ranged from 0.449 to 0.662, indicating good consistency in diagnosing these three stages between MSCT and the postsurgical pathological results. The K(total) value was 0.567 between MSCT and the postsurgical pathological results in diagnosing LN metastasis. The risk of LN metastasis increased with the progression of lesion infiltrates. CONCLUSIONS: Application of the combined diagnostic criteria increased the diagnostic performance of MSCT in not only judging the N-stage but also diagnosing LN metastasis. This study will provide valuable reference data for surgical planning for patients with GC in the clinical setting. |
format | Online Article Text |
id | pubmed-6384478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-63844782019-02-27 Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer Jiang, Min Wang, Xiaoxiao Shan, Xiuhong Pan, Donggang Jia, Yingjun Ni, Enzhen Hu, Yuan Huang, Hao J Int Med Res Clinical Research Reports OBJECTIVE: To establish new diagnostic criteria for improvement of the accuracy of multi-slice spiral computed tomography (MSCT) in diagnosing the N-stage and lymph node (LN) metastasis of gastric cancer (GC). METHODS: MSCT was performed with plain and triphasic dynamic contrast enhancement. Different regions of LN metastasis and N-staging were determined according to the herein-proposed combined diagnostic criteria and were then correlated with the pathological analysis. The Kappa consistency test was used to study the accuracy of MSCT. RESULTS: The accuracy of MSCT in diagnosing the N-stage as a whole was 86.3%, and that in diagnosing LN metastasis was 79.1% to 98.9%. The Kappa values for stages N0, N1, and N3 ranged from 0.449 to 0.662, indicating good consistency in diagnosing these three stages between MSCT and the postsurgical pathological results. The K(total) value was 0.567 between MSCT and the postsurgical pathological results in diagnosing LN metastasis. The risk of LN metastasis increased with the progression of lesion infiltrates. CONCLUSIONS: Application of the combined diagnostic criteria increased the diagnostic performance of MSCT in not only judging the N-stage but also diagnosing LN metastasis. This study will provide valuable reference data for surgical planning for patients with GC in the clinical setting. SAGE Publications 2018-12-02 2019-01 /pmc/articles/PMC6384478/ /pubmed/30501533 http://dx.doi.org/10.1177/0300060518800611 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Clinical Research Reports Jiang, Min Wang, Xiaoxiao Shan, Xiuhong Pan, Donggang Jia, Yingjun Ni, Enzhen Hu, Yuan Huang, Hao Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer |
title | Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer |
title_full | Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer |
title_fullStr | Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer |
title_full_unstemmed | Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer |
title_short | Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer |
title_sort | value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and n-stage of gastric cancer |
topic | Clinical Research Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384478/ https://www.ncbi.nlm.nih.gov/pubmed/30501533 http://dx.doi.org/10.1177/0300060518800611 |
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