Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia

We assessed the diagnostic performance of the Narrow-Band Imaging (NBI) International Colorectal Endoscopic Classification (NICE) and the Japan NBI Expert Team classification (JNET) in predicting histological outcomes of advanced colorectal lesions. Additionally, we evaluated the sensitivity and positive predictive value (PPV) of the JNET and NICE classifications individually for high-grade lesions (including HGD adenomas, intramucosal carcinomas, and T1 carcinomas). This was a retrospective analysis of prospectively collected data, involving 211 patients (130 men, mean age 60 years) who underwent colonoscopy with endoscopic resection of advanced colorectal neoplasia (lesions ≥ 10 mm). Lesions were classified using both NICE and JNET criteria, and final histopathological results were used for comparison. Of the 257 lesions analyzed, the NICE classification accurately classifies a large proportion of lesions (93.8%). In JNET classification we observed 77.4% correctly classified lesions. Specifically, the sensitivity and positive predictive value (PPV) of the NICE classification for high-grade lesions were 100% and 24.4%, respectively. For the JNET classification, the sensitivity and PPV for high-grade lesions were 56.6% and 57.7%, respectively. The JNET classification, with a positive predictive value of 57.7% for high-grade colorectal lesions (including HGD adenomas, intramucosal carcinomas, and T1 carcinomas), should be used for decision-making regarding appropriate subsequent endoscopic therapy.

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Publication Details

Journal
Scientific Reports
Published
2025-01-09
DOI
https://doi.org/10.1038/s41598-025-85669-w
Citations
1
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
1.05

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article

Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia

Klára Kmochová, Kateřina Hejcmanová, Štěpán Suchánek, Ondřej Májek et al.
1 citations
Scientific Reports
Colorectal Cancer Screening and Detection
1.05
article

Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia

Klára Kmochová, Kateřina Hejcmanová, Štěpán Suchánek, Ondřej Májek, Miroslav Zavoral, Jan Bureš, Tomáš Grega, Ondřej Ngo, Petr Urbánek, N. Brodyuk
article en
1 citations

Abstract

We assessed the diagnostic performance of the Narrow-Band Imaging (NBI) International Colorectal Endoscopic Classification (NICE) and the Japan NBI Expert Team classification (JNET) in predicting histological outcomes of advanced colorectal lesions. Additionally, we evaluated the sensitivity and positive predictive value (PPV) of the JNET and NICE classifications individually for high-grade lesions (including HGD adenomas, intramucosal carcinomas, and T1 carcinomas). This was a retrospective analysis of prospectively collected data, involving 211 patients (130 men, mean age 60 years) who underwent colonoscopy with endoscopic resection of advanced colorectal neoplasia (lesions ≥ 10 mm). Lesions were classified using both NICE and JNET criteria, and final histopathological results were used for comparison. Of the 257 lesions analyzed, the NICE classification accurately classifies a large proportion of lesions (93.8%). In JNET classification we observed 77.4% correctly classified lesions. Specifically, the sensitivity and positive predictive value (PPV) of the NICE classification for high-grade lesions were 100% and 24.4%, respectively. For the JNET classification, the sensitivity and PPV for high-grade lesions were 56.6% and 57.7%, respectively. The JNET classification, with a positive predictive value of 57.7% for high-grade colorectal lesions (including HGD adenomas, intramucosal carcinomas, and T1 carcinomas), should be used for decision-making regarding appropriate subsequent endoscopic therapy.

Scientific ReportsVol. 15(1)
Charles University (CZ), Masaryk University (CZ), Military University Hospital Prague (CZ)
Ministerstvo Zdravotnictví Ceské Republiky, Agentura Pro Zdravotnický Výzkum České Republiky, Ministerstvo Obrany České Republiky, lékařská fakulta Univerzity Karlovy
Good health and well-being
Openalex Percentile: Top 26%
Colorectal Cancer Screening and Detection
1.05
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