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A potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study
BACKGROUND: Clinical staging of gastric cancer (GC) before treatment is essential. Endoscopic ultrasound (EUS) is a recommended staging tool, but its efficacy remains controversial. Our previous prospective study evaluated the potential value of EUS for T staging and presented discrepancies. In this...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281103/ https://www.ncbi.nlm.nih.gov/pubmed/35831843 http://dx.doi.org/10.1186/s12885-022-09870-0 |
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author | Yan, Yan Ma, Zhonghua Ji, Xin Liu, Jiawei Ji, Ke Li, Shijie Wu, Qi |
author_facet | Yan, Yan Ma, Zhonghua Ji, Xin Liu, Jiawei Ji, Ke Li, Shijie Wu, Qi |
author_sort | Yan, Yan |
collection | PubMed |
description | BACKGROUND: Clinical staging of gastric cancer (GC) before treatment is essential. Endoscopic ultrasound (EUS) is a recommended staging tool, but its efficacy remains controversial. Our previous prospective study evaluated the potential value of EUS for T staging and presented discrepancies. In this study, we aimed to evaluate the efficacy of EUS in T staging by comparing it with pathological staging. We analyze the factors that can potentially affect accuracy to identify suitable subgroups for EUS staging. METHODS: Data from a total of 1763 consecutive patients with GC from January 2015 to December 2017 were analyzed. Results from EUS and pathological T staging were compared. The factors that might affect EUS’s accuracy were analyzed. RESULTS: The sensitivity, specificity, positive predictive value, and negative predictive value of EUS in patients with early GC were 62.08%, 96.13%, 90.94%, and 80.21%, respectively. The accuracy rates of uT1, uT2–uT4, and uT3–uT4 were 90.94%, 79.02%, and 78.39%, respectively. In multivariate analysis, underestimation was more likely to be observed in patients with tumors located in the middle or upper third of the stomach. Overestimation was more likely to be observed in patients with tumors located in the lower third or those without ulcer. Other factors affecting accuracy included ulcer, differentiation, larger size and undergoing surgery. CONCLUSION: Our findings highlight the role of EUS in determining the T staging of GC. Overestimation and underestimation in T-staging were significantly associated with the tumor location in early GC, and a decision-making algorithm was proposed for clinical practice in early cancers based on these findings. |
format | Online Article Text |
id | pubmed-9281103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92811032022-07-15 A potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study Yan, Yan Ma, Zhonghua Ji, Xin Liu, Jiawei Ji, Ke Li, Shijie Wu, Qi BMC Cancer Research BACKGROUND: Clinical staging of gastric cancer (GC) before treatment is essential. Endoscopic ultrasound (EUS) is a recommended staging tool, but its efficacy remains controversial. Our previous prospective study evaluated the potential value of EUS for T staging and presented discrepancies. In this study, we aimed to evaluate the efficacy of EUS in T staging by comparing it with pathological staging. We analyze the factors that can potentially affect accuracy to identify suitable subgroups for EUS staging. METHODS: Data from a total of 1763 consecutive patients with GC from January 2015 to December 2017 were analyzed. Results from EUS and pathological T staging were compared. The factors that might affect EUS’s accuracy were analyzed. RESULTS: The sensitivity, specificity, positive predictive value, and negative predictive value of EUS in patients with early GC were 62.08%, 96.13%, 90.94%, and 80.21%, respectively. The accuracy rates of uT1, uT2–uT4, and uT3–uT4 were 90.94%, 79.02%, and 78.39%, respectively. In multivariate analysis, underestimation was more likely to be observed in patients with tumors located in the middle or upper third of the stomach. Overestimation was more likely to be observed in patients with tumors located in the lower third or those without ulcer. Other factors affecting accuracy included ulcer, differentiation, larger size and undergoing surgery. CONCLUSION: Our findings highlight the role of EUS in determining the T staging of GC. Overestimation and underestimation in T-staging were significantly associated with the tumor location in early GC, and a decision-making algorithm was proposed for clinical practice in early cancers based on these findings. BioMed Central 2022-07-13 /pmc/articles/PMC9281103/ /pubmed/35831843 http://dx.doi.org/10.1186/s12885-022-09870-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yan, Yan Ma, Zhonghua Ji, Xin Liu, Jiawei Ji, Ke Li, Shijie Wu, Qi A potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study |
title | A potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study |
title_full | A potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study |
title_fullStr | A potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study |
title_full_unstemmed | A potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study |
title_short | A potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study |
title_sort | potential decision-making algorithm based on endoscopic ultrasound for staging early gastric cancer: a retrospective study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281103/ https://www.ncbi.nlm.nih.gov/pubmed/35831843 http://dx.doi.org/10.1186/s12885-022-09870-0 |
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