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Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study
BACKGROUND AND STUDY AIMS: Magnifying narrow-band imaging (M-NBI) enables detailed observation of microvascular architecture and can be used in endoscopic diagnosis of colorectal lesion. However, in clinical practice, differential diagnosis and estimation of invasion depth of colorectal lesions bas...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
© Georg Thieme Verlag KG
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542817/ https://www.ncbi.nlm.nih.gov/pubmed/28782001 http://dx.doi.org/10.1055/s-0043-105490 |
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author | Tamai, Naoto Saito, Yutaka Sakamoto, Taku Nakajima, Takeshi Matsuda, Takahisa Sumiyama, Kazuki Tajiri, Hisao Koyama, Ryosuke Kido, Shoji |
author_facet | Tamai, Naoto Saito, Yutaka Sakamoto, Taku Nakajima, Takeshi Matsuda, Takahisa Sumiyama, Kazuki Tajiri, Hisao Koyama, Ryosuke Kido, Shoji |
author_sort | Tamai, Naoto |
collection | PubMed |
description | BACKGROUND AND STUDY AIMS: Magnifying narrow-band imaging (M-NBI) enables detailed observation of microvascular architecture and can be used in endoscopic diagnosis of colorectal lesion. However, in clinical practice, differential diagnosis and estimation of invasion depth of colorectal lesions based on M-NBI findings require experience. Therefore, developing computer-aided diagnosis (CAD) for M-NBI would be beneficial for clinical practice. The aim of this study was to evaluate the effectiveness of software for CAD of colorectal lesions. MATERIALS AND METHODS : In collaboration with Yamaguchi University, we developed novel software that enables CAD of colorectal lesions using M-NBI images. This software for CAD further specifically divides original Sano’s colorectal M-NBI classification into 3 groups (group A, capillary pattern [CP] type I; group B, CP type II + CP type IIIA; group C, CP type IIIB), which describe hyperplastic polyps (HPs), adenoma/adenocarcinoma (intramucosal [IM] to submucosal [SM]-superficial) lesions, and SM-deep lesions, respectively. We retrospectively reviewed 121 lesions evaluated using M-NBI. RESULTS : The 121 reviewed lesions included 21 HP, 80 adenoma/adenocarcinoma (IM to SM-superficial), and 20 SM-deep lesions. The concordance rate between the CAD and the diagnosis of the experienced endoscopists was 90.9 %. The sensitivity, specificity, positive and negative predictive values, and accuracy of the CAD for neoplastic lesions were 83.9 %, 82.6 %, 53.1 %, 95.6 %, and 82.8 %, respectively. The values for SM-deep lesions were 83.9 %, 82.6 %, 53.1 %, 95.6 %, and 82.8 %, respectively. CONCLUSION: Relatively high diagnostic values were obtained using CAD. This software for CAD could possibly lead to a wider use of M-NBI in the endoscopic diagnosis of colorectal lesions. |
format | Online Article Text |
id | pubmed-5542817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | © Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-55428172017-08-04 Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study Tamai, Naoto Saito, Yutaka Sakamoto, Taku Nakajima, Takeshi Matsuda, Takahisa Sumiyama, Kazuki Tajiri, Hisao Koyama, Ryosuke Kido, Shoji Endosc Int Open BACKGROUND AND STUDY AIMS: Magnifying narrow-band imaging (M-NBI) enables detailed observation of microvascular architecture and can be used in endoscopic diagnosis of colorectal lesion. However, in clinical practice, differential diagnosis and estimation of invasion depth of colorectal lesions based on M-NBI findings require experience. Therefore, developing computer-aided diagnosis (CAD) for M-NBI would be beneficial for clinical practice. The aim of this study was to evaluate the effectiveness of software for CAD of colorectal lesions. MATERIALS AND METHODS : In collaboration with Yamaguchi University, we developed novel software that enables CAD of colorectal lesions using M-NBI images. This software for CAD further specifically divides original Sano’s colorectal M-NBI classification into 3 groups (group A, capillary pattern [CP] type I; group B, CP type II + CP type IIIA; group C, CP type IIIB), which describe hyperplastic polyps (HPs), adenoma/adenocarcinoma (intramucosal [IM] to submucosal [SM]-superficial) lesions, and SM-deep lesions, respectively. We retrospectively reviewed 121 lesions evaluated using M-NBI. RESULTS : The 121 reviewed lesions included 21 HP, 80 adenoma/adenocarcinoma (IM to SM-superficial), and 20 SM-deep lesions. The concordance rate between the CAD and the diagnosis of the experienced endoscopists was 90.9 %. The sensitivity, specificity, positive and negative predictive values, and accuracy of the CAD for neoplastic lesions were 83.9 %, 82.6 %, 53.1 %, 95.6 %, and 82.8 %, respectively. The values for SM-deep lesions were 83.9 %, 82.6 %, 53.1 %, 95.6 %, and 82.8 %, respectively. CONCLUSION: Relatively high diagnostic values were obtained using CAD. This software for CAD could possibly lead to a wider use of M-NBI in the endoscopic diagnosis of colorectal lesions. © Georg Thieme Verlag KG 2017-08 2017-08-03 /pmc/articles/PMC5542817/ /pubmed/28782001 http://dx.doi.org/10.1055/s-0043-105490 Text en © Thieme Medical Publishers |
spellingShingle | Tamai, Naoto Saito, Yutaka Sakamoto, Taku Nakajima, Takeshi Matsuda, Takahisa Sumiyama, Kazuki Tajiri, Hisao Koyama, Ryosuke Kido, Shoji Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study |
title | Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study |
title_full | Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study |
title_fullStr | Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study |
title_full_unstemmed | Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study |
title_short | Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study |
title_sort | effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542817/ https://www.ncbi.nlm.nih.gov/pubmed/28782001 http://dx.doi.org/10.1055/s-0043-105490 |
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