Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia
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 sensitivit...
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Nature Portfolio
2025-01-01
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| Online Access: | https://doi.org/10.1038/s41598-025-85669-w |
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| author | Tomas Grega Klara Kmochova Katerina Hejcmanova Ondrej Ngo Nadija Brodyuk Ondrej Majek Jan Bures Petr Urbanek Miroslav Zavoral Stepan Suchanek |
| author_facet | Tomas Grega Klara Kmochova Katerina Hejcmanova Ondrej Ngo Nadija Brodyuk Ondrej Majek Jan Bures Petr Urbanek Miroslav Zavoral Stepan Suchanek |
| author_sort | Tomas Grega |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-50f1aef0f0fd40a8a8cbfeacd0bad1da |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-50f1aef0f0fd40a8a8cbfeacd0bad1da2025-01-12T12:23:52ZengNature PortfolioScientific Reports2045-23222025-01-011511910.1038/s41598-025-85669-wImpact of narrow band imaging in prediction of histology of advanced colorectal neoplasiaTomas Grega0Klara Kmochova1Katerina Hejcmanova2Ondrej Ngo3Nadija Brodyuk4Ondrej Majek5Jan Bures6Petr Urbanek7Miroslav Zavoral8Stepan Suchanek9Department of Internal Medicine, 1st Faculty of Medicine Charles University, Military University HospitalDepartment of Internal Medicine, 1st Faculty of Medicine Charles University, Military University HospitalInstitute of Biostatistics and Analyses Masaryk UniversityInstitute of Biostatistics and Analyses Masaryk UniversityDepartment of Internal Medicine, 1st Faculty of Medicine Charles University, Military University HospitalInstitute of Biostatistics and Analyses Masaryk UniversityDepartment of Internal Medicine, 1st Faculty of Medicine Charles University, Military University HospitalDepartment of Internal Medicine, 1st Faculty of Medicine Charles University, Military University HospitalDepartment of Internal Medicine, 1st Faculty of Medicine Charles University, Military University HospitalDepartment of Internal Medicine, 1st Faculty of Medicine Charles University, Military University HospitalAbstract 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.https://doi.org/10.1038/s41598-025-85669-wColonoscopyNarrow-band imagingColon tumourDiagnostic accuracyJNET classificationNICE classification |
| spellingShingle | Tomas Grega Klara Kmochova Katerina Hejcmanova Ondrej Ngo Nadija Brodyuk Ondrej Majek Jan Bures Petr Urbanek Miroslav Zavoral Stepan Suchanek Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia Scientific Reports Colonoscopy Narrow-band imaging Colon tumour Diagnostic accuracy JNET classification NICE classification |
| title | Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia |
| title_full | Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia |
| title_fullStr | Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia |
| title_full_unstemmed | Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia |
| title_short | Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia |
| title_sort | impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia |
| topic | Colonoscopy Narrow-band imaging Colon tumour Diagnostic accuracy JNET classification NICE classification |
| url | https://doi.org/10.1038/s41598-025-85669-w |
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