Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61383082%3A_____%2F25%3A00001496" target="_blank" >RIV/61383082:_____/25:00001496 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/25:10490601 RIV/00216224:14110/25:00144720
Result on the web
<a href="https://pubmed.ncbi.nlm.nih.gov/39789214/" target="_blank" >https://pubmed.ncbi.nlm.nih.gov/39789214/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-025-85669-w" target="_blank" >10.1038/s41598-025-85669-w</a>
Alternative languages
Result language
angličtina
Original language name
Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30204 - Oncology
Result continuities
Project
<a href="/en/project/NU22-08-00424" target="_blank" >NU22-08-00424: Development and clinical utility of a new method to identify patients with risk of recurrent colorectal lesions and personalization of their surveillance based on mutation burden and clinical-pathological phenotype</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SCIENTIFIC REPORTS
ISSN
2045-2322
e-ISSN
—
Volume of the periodical
15
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
9
Pages from-to
1-9
UT code for WoS article
001395002400034
EID of the result in the Scopus database
2-s2.0-85214868543