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

J 2025

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

GREGA, Tomas, Klara KMOCHOVA, Kateřina HEJCMANOVÁ, Ondřej NGO, Nadija BRODYUK et. al.

Základní údaje

Originální název

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

Autoři

GREGA, Tomas (203 Česká republika), Klara KMOCHOVA (203 Česká republika), Kateřina HEJCMANOVÁ (203 Česká republika, domácí), Ondřej NGO (203 Česká republika, domácí), Nadija BRODYUK, Ondřej MÁJEK (203 Česká republika, domácí), Jan BURES (203 Česká republika), Petr URBANEK (203 Česká republika), Miroslav ZAVORAL (203 Česká republika) a Štěpán SUCHÁNEK (203 Česká republika)

Vydání

Scientific Reports, Berlin, NATURE RESEARCH, 2025, 2045-2322

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30219 Gastroenterology and hepatology

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.800 v roce 2023

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1038/s41598-025-85669-w

UT WoS

001395002400034

Klíčová slova anglicky

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

Štítky

14119612, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 4. 2. 2025 14:02, Mgr. Tereza Miškechová

Anotace

V originále

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.

Návaznosti

NU22-08-00424, projekt VaV

Název: Vývoj a klinické využití nové metody identifikace pacientů s rizikem rekurentních kolorektálních lézí a personalizace jejich dispenzární péče pomocí stanovení mutační nálože a klinicko-patologického fenotypu

Investor: Ministerstvo zdravotnictví ČR, Vývoj a klinické využití nové metody identifikace pacientů s rizikem rekurentních kolorektálních lézí a personalizace jejich dispenzární péče pomocí stanovení mutační nálože a klinicko-patologického fenotypu, Podprogram 1 - standardní

Citovat

GREGA, Tomas, Klara KMOCHOVA, Kateřina HEJCMANOVÁ, Ondřej NGO, Nadija BRODYUK, Ondřej MÁJEK, Jan BURES, Petr URBANEK, Miroslav ZAVORAL a Štěpán SUCHÁNEK. Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia. Scientific Reports. Berlin: NATURE RESEARCH, 2025, roč. 15, č. 1, s. 1-9. ISSN 2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-025-85669-w.

@article{2472561,
   author = {Grega, Tomas and Kmochova, Klara and Hejcmanová, Kateřina and Ngo, Ondřej and Brodyuk, Nadija and Májek, Ondřej and Bures, Jan and Urbanek, Petr and Zavoral, Miroslav and Suchánek, Štěpán},
   article_location = {Berlin},
   article_number = {1},
   doi = {http://dx.doi.org/10.1038/s41598-025-85669-w},
   keywords = {Colonoscopy; Narrow-band imaging; Colon tumour; Diagnostic accuracy; JNET classification; NICE classification},
   language = {eng},
   issn = {2045-2322},
   journal = {Scientific Reports},
   title = {Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia},
   url = {https://www.nature.com/articles/s41598-025-85669-w},
   volume = {15},
   year = {2025}
}

TY  - JOUR
ID  - 2472561
AU  - Grega, Tomas - Kmochova, Klara - Hejcmanová, Kateřina - Ngo, Ondřej - Brodyuk, Nadija - Májek, Ondřej - Bures, Jan - Urbanek, Petr - Zavoral, Miroslav - Suchánek, Štěpán
PY  - 2025
TI  - Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia
JF  - Scientific Reports
VL  - 15
IS  - 1
SP  - 1-9
EP  - 1-9
PB  - NATURE RESEARCH
SN  - 20452322
KW  - Colonoscopy
KW  - Narrow-band imaging
KW  - Colon tumour
KW  - Diagnostic accuracy
KW  - JNET classification
KW  - NICE classification
UR  - https://www.nature.com/articles/s41598-025-85669-w
N2  - 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.
ER  -

GREGA, Tomas, Klara KMOCHOVA, Kateřina HEJCMANOVÁ, Ondřej NGO, Nadija BRODYUK, Ondřej MÁJEK, Jan BURES, Petr URBANEK, Miroslav ZAVORAL a Štěpán SUCHÁNEK. Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia. \textit{Scientific Reports}. Berlin: NATURE RESEARCH, 2025, roč.~15, č.~1, s.~1-9. ISSN~2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-025-85669-w.

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