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A novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution
BACKGROUND: Studies have shown the value of subtypes and distribution of gastric intestinal metaplasia (GIM) for prediction of gastric cancer. We aim to combine GIM subtypes and distribution to form a new scoring system for GIM. METHODS: This was a cross-sectional study. No GIM, type I, II, and III...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816327/ https://www.ncbi.nlm.nih.gov/pubmed/33472622 http://dx.doi.org/10.1186/s12935-021-01758-6 |
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author | Wei, Ning Zhong, Zhiheng Shi, Ruihua |
author_facet | Wei, Ning Zhong, Zhiheng Shi, Ruihua |
author_sort | Wei, Ning |
collection | PubMed |
description | BACKGROUND: Studies have shown the value of subtypes and distribution of gastric intestinal metaplasia (GIM) for prediction of gastric cancer. We aim to combine GIM subtypes and distribution to form a new scoring system for GIM. METHODS: This was a cross-sectional study. No GIM, type I, II, and III GIM of gastric antrum and corpus scored 0–3 points respectively. Then the severity of the whole stomach was calculated in two ways: 1. The gastric antrum and corpus scores were added together, with a score ranging from 0 to 6, which named “Subtype Distribution Score of Gastric Intestinal Metaplasia (SDSGIM)”. 2. Direct classification according to a table corresponding to that of OLGIM. We compared the SDSGIM among benign lesions, dysplasia, and cancer and drew receiver operating characteristic (ROC) curve to determine the optimal cut-off value. According to the cut-off value and the classification from the table, the predictive ability of these two methods were calculated. RESULTS: 227 patients were included. For SDSGIM, benign lesion group was significantly different from dysplasia or cancer group. Area under curve of ROC curve was 0.889 ± 0.023. The optimal cut-off value was 3. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of SDSGIM for malignancy were 89.5%, 78.0%, 74.6%, 91.2% and 82.8%. And those for the second classification method were 84.2%, 82.6%, 77.7%, 87.9%, and 83.3% respectively. CONCLUSIONS: This study firstly combined GIM subtypes with its distribution forming a novel scoring system, which showed high prediction accuracy for malignant lesions. |
format | Online Article Text |
id | pubmed-7816327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78163272021-01-21 A novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution Wei, Ning Zhong, Zhiheng Shi, Ruihua Cancer Cell Int Primary Research BACKGROUND: Studies have shown the value of subtypes and distribution of gastric intestinal metaplasia (GIM) for prediction of gastric cancer. We aim to combine GIM subtypes and distribution to form a new scoring system for GIM. METHODS: This was a cross-sectional study. No GIM, type I, II, and III GIM of gastric antrum and corpus scored 0–3 points respectively. Then the severity of the whole stomach was calculated in two ways: 1. The gastric antrum and corpus scores were added together, with a score ranging from 0 to 6, which named “Subtype Distribution Score of Gastric Intestinal Metaplasia (SDSGIM)”. 2. Direct classification according to a table corresponding to that of OLGIM. We compared the SDSGIM among benign lesions, dysplasia, and cancer and drew receiver operating characteristic (ROC) curve to determine the optimal cut-off value. According to the cut-off value and the classification from the table, the predictive ability of these two methods were calculated. RESULTS: 227 patients were included. For SDSGIM, benign lesion group was significantly different from dysplasia or cancer group. Area under curve of ROC curve was 0.889 ± 0.023. The optimal cut-off value was 3. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of SDSGIM for malignancy were 89.5%, 78.0%, 74.6%, 91.2% and 82.8%. And those for the second classification method were 84.2%, 82.6%, 77.7%, 87.9%, and 83.3% respectively. CONCLUSIONS: This study firstly combined GIM subtypes with its distribution forming a novel scoring system, which showed high prediction accuracy for malignant lesions. BioMed Central 2021-01-20 /pmc/articles/PMC7816327/ /pubmed/33472622 http://dx.doi.org/10.1186/s12935-021-01758-6 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Primary Research Wei, Ning Zhong, Zhiheng Shi, Ruihua A novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution |
title | A novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution |
title_full | A novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution |
title_fullStr | A novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution |
title_full_unstemmed | A novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution |
title_short | A novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution |
title_sort | novel method of grading gastric intestinal metaplasia based on the combination of subtype and distribution |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816327/ https://www.ncbi.nlm.nih.gov/pubmed/33472622 http://dx.doi.org/10.1186/s12935-021-01758-6 |
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