Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jan 9;15(1):1414.
doi: 10.1038/s41598-025-85669-w.

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

Affiliations

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

Tomas Grega et al. Sci Rep. .

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.

Trial registration: ClinicalTrials.gov NCT03434925 NCT05929365.

Keywords: Colon tumour; Colonoscopy; Diagnostic accuracy; JNET classification; NICE classification; Narrow-band imaging.

PubMed Disclaimer

Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The Narrow-Band Imaging (NBI) International Colorectal Endoscopic Classification (NICE). Endoscopic images reproduced with permission from the Archive of the Department of Gastrointestinal Endoscopy, Military University Hospital Prague.
Fig. 2
Fig. 2
The Japan NBI Expert Team (JNET) classification. Endoscopic images reproduced with permission from the Archive of the Department of Gastrointestinal Endoscopy, Military University Hospital Prague.
Fig. 3
Fig. 3
Correct diagnosis of colorectal lesions according to NICE and JNET classification.

References

    1. Bray, F. et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin.74(3), 229–263 (2024). - PubMed
    1. Kahi, C. J., Imperiale, T. F., Juliar, B. E. & Rex, D. K. Effect of screening colonoscopy on colorectal cancer incidence and mortality. Clin. Gastroenterol. Hepatol.7, 770–775 (2009). - PubMed
    1. Ferlitsch, M. et al. Colorectal polypectomy and endoscopic mucosal resection: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2024. Endoscopy56, 516–545 (2024). - PubMed
    1. Hosotani, K. et al. Can advanced endoscopic imaging help us avoid surgery for endoscopically resectable colorectal neoplasms? A proof-of-concept study. Dig. Dis. Sci.65, 1829–1837 (2019). - PubMed
    1. Subramaniam, S. et al. Optical diagnosis of colorectal polyps with Blue Light Imaging using a new international classification. United Eur. Gastroenterol. J.7, 316–325 (2019). - PMC - PubMed

Publication types

Associated data