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FICE in Predicting Colorectal Flat Lesion Histology
BACKGROUND AND OBJECTIVES: Colonoscopy is the gold standard for detection of polyps and is preventive against colorectal cancers. Flat adenomas are small, superficial lesions and have a high rate of going undetected during conventional white-light endoscopy. This article adds to the scant body of li...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Laparoendoscopic Surgeons
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683813/ https://www.ncbi.nlm.nih.gov/pubmed/29162970 http://dx.doi.org/10.4293/JSLS.2017.00050 |
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author | Akarsu, Cevher Sahbaz, Nuri A. Dural, Ahmet C. Kones, Osman Binboga, Sinan Kabuli, Hamit A. Gumusoglu, Alpen Y. Alis, Halil |
author_facet | Akarsu, Cevher Sahbaz, Nuri A. Dural, Ahmet C. Kones, Osman Binboga, Sinan Kabuli, Hamit A. Gumusoglu, Alpen Y. Alis, Halil |
author_sort | Akarsu, Cevher |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Colonoscopy is the gold standard for detection of polyps and is preventive against colorectal cancers. Flat adenomas are small, superficial lesions and have a high rate of going undetected during conventional white-light endoscopy. This article adds to the scant body of literature in English regarding in vivo detection and diagnosis of flat adenomas using Fujinon intelligent color enhancement (FICE) system. In this study, we investigated the diagnosis of flat lesions via the FICE endoscopy system and in vivo histologic diagnostic estimations of flat lesions. METHODS: This prospective study was conducted in patients who underwent colonoscopy that found flat adenomas. Lesions were classified morphologically with regard to the Paris Classification and sent for histopathologic examination after in vivo histologic diagnostic estimations were made according to Kudo's pit pattern classification. The positive predictive value (PPV), negative predictive value (NPV), specificity, sensitivity, and accuracy of in vivo endoscopic diagnostic estimations of flat lesions with the FICE system were analyzed. RESULTS: A total of 217 flat lesions were identified in 137 patients. Of the lesions, 85.7% were Paris type 0-IIa, and 59.4% were Kudo pit pattern type III. When the FICE diagnostic estimations of flat lesions and final pathology results were considered, PPV was 68.5%, NPV value was 89.6%, sensitivity was 94.7%, specificity was 50.9%, and accuracy was 74.2%. CONCLUSIONS: Biologic importance of flat lesions is obscure, as they are usually missed during colonoscopy. The use of novel endoscopic techniques may improve their detection and diagnosis rates. |
format | Online Article Text |
id | pubmed-5683813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society of Laparoendoscopic Surgeons |
record_format | MEDLINE/PubMed |
spelling | pubmed-56838132017-11-21 FICE in Predicting Colorectal Flat Lesion Histology Akarsu, Cevher Sahbaz, Nuri A. Dural, Ahmet C. Kones, Osman Binboga, Sinan Kabuli, Hamit A. Gumusoglu, Alpen Y. Alis, Halil JSLS Scientific Paper BACKGROUND AND OBJECTIVES: Colonoscopy is the gold standard for detection of polyps and is preventive against colorectal cancers. Flat adenomas are small, superficial lesions and have a high rate of going undetected during conventional white-light endoscopy. This article adds to the scant body of literature in English regarding in vivo detection and diagnosis of flat adenomas using Fujinon intelligent color enhancement (FICE) system. In this study, we investigated the diagnosis of flat lesions via the FICE endoscopy system and in vivo histologic diagnostic estimations of flat lesions. METHODS: This prospective study was conducted in patients who underwent colonoscopy that found flat adenomas. Lesions were classified morphologically with regard to the Paris Classification and sent for histopathologic examination after in vivo histologic diagnostic estimations were made according to Kudo's pit pattern classification. The positive predictive value (PPV), negative predictive value (NPV), specificity, sensitivity, and accuracy of in vivo endoscopic diagnostic estimations of flat lesions with the FICE system were analyzed. RESULTS: A total of 217 flat lesions were identified in 137 patients. Of the lesions, 85.7% were Paris type 0-IIa, and 59.4% were Kudo pit pattern type III. When the FICE diagnostic estimations of flat lesions and final pathology results were considered, PPV was 68.5%, NPV value was 89.6%, sensitivity was 94.7%, specificity was 50.9%, and accuracy was 74.2%. CONCLUSIONS: Biologic importance of flat lesions is obscure, as they are usually missed during colonoscopy. The use of novel endoscopic techniques may improve their detection and diagnosis rates. Society of Laparoendoscopic Surgeons 2017 /pmc/articles/PMC5683813/ /pubmed/29162970 http://dx.doi.org/10.4293/JSLS.2017.00050 Text en © 2017 by JSLS, Journal of the Society of Laparoendoscopic Surgeons. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License (http://creativecommons.org/licenses/by-nc-nd/3.0/us/), which permits for noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not altered in any way. |
spellingShingle | Scientific Paper Akarsu, Cevher Sahbaz, Nuri A. Dural, Ahmet C. Kones, Osman Binboga, Sinan Kabuli, Hamit A. Gumusoglu, Alpen Y. Alis, Halil FICE in Predicting Colorectal Flat Lesion Histology |
title | FICE in Predicting Colorectal Flat Lesion Histology |
title_full | FICE in Predicting Colorectal Flat Lesion Histology |
title_fullStr | FICE in Predicting Colorectal Flat Lesion Histology |
title_full_unstemmed | FICE in Predicting Colorectal Flat Lesion Histology |
title_short | FICE in Predicting Colorectal Flat Lesion Histology |
title_sort | fice in predicting colorectal flat lesion histology |
topic | Scientific Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683813/ https://www.ncbi.nlm.nih.gov/pubmed/29162970 http://dx.doi.org/10.4293/JSLS.2017.00050 |
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