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Diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: A new statistical method

AIM: To establish a classification method for differential diagnosis of colorectal ulcerative diseases, especially Crohn’s disease (CD), primary intestinal lymphoma (PIL) and intestinal tuberculosis (ITB). METHODS: We searched the in-patient medical record database for confirmed cases of CD, PIL and...

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Autores principales: Qiu, En-Qi, Guo, Wen, Cheng, Tian-Ming, Yao, Yong-Li, Zhu, Wei, Liu, Si-De, Zhi, Fa-Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739927/
https://www.ncbi.nlm.nih.gov/pubmed/29290657
http://dx.doi.org/10.3748/wjg.v23.i46.8207
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author Qiu, En-Qi
Guo, Wen
Cheng, Tian-Ming
Yao, Yong-Li
Zhu, Wei
Liu, Si-De
Zhi, Fa-Chao
author_facet Qiu, En-Qi
Guo, Wen
Cheng, Tian-Ming
Yao, Yong-Li
Zhu, Wei
Liu, Si-De
Zhi, Fa-Chao
author_sort Qiu, En-Qi
collection PubMed
description AIM: To establish a classification method for differential diagnosis of colorectal ulcerative diseases, especially Crohn’s disease (CD), primary intestinal lymphoma (PIL) and intestinal tuberculosis (ITB). METHODS: We searched the in-patient medical record database for confirmed cases of CD, PIL and ITB from 2008 to 2015 at our center, collected data on endoscopic ultrasound (EUS) from randomly-chosen patients who formed the training set, conducted univariate logistic regression analysis to summarize EUS features of CD, PIL and ITB, and created a diagnostic classification method. All cases found to have colorectal ulcers using EUS were obtained from the endoscopy database and formed the test set. We then removed the cases which were easily diagnosed, and the remaining cases formed the perplexing test set. We re-diagnosed the cases in the three sets using the classification method, determined EUS diagnostic accuracies, and adjusted the classification accordingly. Finally, the re-diagnosing and accuracy-calculating steps were repeated. RESULTS: In total, 272 CD, 60 PIL and 39 ITB cases were diagnosed from 2008 to 2015 based on the in-patient database, and 200 CD, 30 PIL and 20 ITB cases were randomly chosen to form the training set. The EUS features were summarized as follows: CD: Thickened submucosa with a slightly high echo level and visible layer; PIL: Absent layer and diffuse hypoechoic mass; and ITB: Thickened mucosa with a high or slightly high echo level and visible layer. The test set consisted of 77 CD, 30 PIL, 23 ITB and 140 cases of other diseases obtained from the endoscopy database. Seventy-four cases were excluded to form the perplexing test set. After adjustment of the classification, EUS diagnostic accuracies for CD, PIL and ITB were 83.6% (209/250), 97.2% (243/250) and 85.6% (214/250) in the training set, were 89.3% (241/270), 97.8% (264/270) and 84.1% (227/270) in the test set, and were 86.7% (170/196), 98.0% (192/196) and 85.2% (167/196) in the perplexing set, respectively. CONCLUSION: The EUS features of CD, PIL and ITB are different. The diagnostic classification method is reliable in the differential diagnosis of colorectal ulcerative diseases.
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spelling pubmed-57399272017-12-30 Diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: A new statistical method Qiu, En-Qi Guo, Wen Cheng, Tian-Ming Yao, Yong-Li Zhu, Wei Liu, Si-De Zhi, Fa-Chao World J Gastroenterol Retrospective Study AIM: To establish a classification method for differential diagnosis of colorectal ulcerative diseases, especially Crohn’s disease (CD), primary intestinal lymphoma (PIL) and intestinal tuberculosis (ITB). METHODS: We searched the in-patient medical record database for confirmed cases of CD, PIL and ITB from 2008 to 2015 at our center, collected data on endoscopic ultrasound (EUS) from randomly-chosen patients who formed the training set, conducted univariate logistic regression analysis to summarize EUS features of CD, PIL and ITB, and created a diagnostic classification method. All cases found to have colorectal ulcers using EUS were obtained from the endoscopy database and formed the test set. We then removed the cases which were easily diagnosed, and the remaining cases formed the perplexing test set. We re-diagnosed the cases in the three sets using the classification method, determined EUS diagnostic accuracies, and adjusted the classification accordingly. Finally, the re-diagnosing and accuracy-calculating steps were repeated. RESULTS: In total, 272 CD, 60 PIL and 39 ITB cases were diagnosed from 2008 to 2015 based on the in-patient database, and 200 CD, 30 PIL and 20 ITB cases were randomly chosen to form the training set. The EUS features were summarized as follows: CD: Thickened submucosa with a slightly high echo level and visible layer; PIL: Absent layer and diffuse hypoechoic mass; and ITB: Thickened mucosa with a high or slightly high echo level and visible layer. The test set consisted of 77 CD, 30 PIL, 23 ITB and 140 cases of other diseases obtained from the endoscopy database. Seventy-four cases were excluded to form the perplexing test set. After adjustment of the classification, EUS diagnostic accuracies for CD, PIL and ITB were 83.6% (209/250), 97.2% (243/250) and 85.6% (214/250) in the training set, were 89.3% (241/270), 97.8% (264/270) and 84.1% (227/270) in the test set, and were 86.7% (170/196), 98.0% (192/196) and 85.2% (167/196) in the perplexing set, respectively. CONCLUSION: The EUS features of CD, PIL and ITB are different. The diagnostic classification method is reliable in the differential diagnosis of colorectal ulcerative diseases. Baishideng Publishing Group Inc 2017-12-14 2017-12-14 /pmc/articles/PMC5739927/ /pubmed/29290657 http://dx.doi.org/10.3748/wjg.v23.i46.8207 Text en ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Retrospective Study
Qiu, En-Qi
Guo, Wen
Cheng, Tian-Ming
Yao, Yong-Li
Zhu, Wei
Liu, Si-De
Zhi, Fa-Chao
Diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: A new statistical method
title Diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: A new statistical method
title_full Diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: A new statistical method
title_fullStr Diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: A new statistical method
title_full_unstemmed Diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: A new statistical method
title_short Diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: A new statistical method
title_sort diagnostic classification of endosonography for differentiating colorectal ulcerative diseases: a new statistical method
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739927/
https://www.ncbi.nlm.nih.gov/pubmed/29290657
http://dx.doi.org/10.3748/wjg.v23.i46.8207
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