-
Je něco špatně v tomto záznamu ?
Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia
T. Grega, K. Kmochova, K. Hejcmanova, O. Ngo, N. Brodyuk, O. Majek, J. Bures, P. Urbanek, M. Zavoral, S. Suchanek
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
DZVRO - MO1012
Ministerstvo Obrany České Republiky
Cooperatio
lékařská fakulta Univerzity Karlovy
NU22-08-00424
Agentura Pro Zdravotnický Výzkum České Republiky
NLK
Directory of Open Access Journals
od 2011
Free Medical Journals
od 2011
Nature Open Access
od 2011-12-01
PubMed Central
od 2011
Europe PubMed Central
od 2011
ProQuest Central
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Health & Medicine (ProQuest)
od 2011-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2011
Springer Nature OA/Free Journals
od 2011-12-01
- MeSH
- adenom diagnostické zobrazování patologie MeSH
- dospělí MeSH
- kolonoskopie * metody MeSH
- kolorektální nádory * patologie diagnostické zobrazování diagnóza MeSH
- lidé středního věku MeSH
- lidé MeSH
- prediktivní hodnota testů MeSH
- retrospektivní studie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- senzitivita a specificita MeSH
- úzkopásmové zobrazení * metody MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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.
Department of Gastrointestinal Oncology Military University Hospital Prague Czechia
Institute of Biostatistics and Analyses Masaryk University Brno Czechia
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc25010294
- 003
- CZ-PrNML
- 005
- 20250429135327.0
- 007
- ta
- 008
- 250415s2025 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1038/s41598-025-85669-w $2 doi
- 035 __
- $a (PubMed)39789214
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Grega, Tomas $u Department of Internal Medicine, 1st Faculty of Medicine Charles University, Military University Hospital, Prague, Czechia. tomas.grega@uvn.cz $u Department of Gastrointestinal Oncology, Military University Hospital, Prague, Czechia. tomas.grega@uvn.cz $1 https://orcid.org/0000000224908078 $7 xx0229120
- 245 10
- $a Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia / $c T. Grega, K. Kmochova, K. Hejcmanova, O. Ngo, N. Brodyuk, O. Majek, J. Bures, P. Urbanek, M. Zavoral, S. Suchanek
- 520 9_
- $a 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.
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 12
- $a kolorektální nádory $x patologie $x diagnostické zobrazování $x diagnóza $7 D015179
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 12
- $a úzkopásmové zobrazení $x metody $7 D062048
- 650 12
- $a kolonoskopie $x metody $7 D003113
- 650 _2
- $a senioři $7 D000368
- 650 _2
- $a retrospektivní studie $7 D012189
- 650 _2
- $a adenom $x diagnostické zobrazování $x patologie $7 D000236
- 650 _2
- $a dospělí $7 D000328
- 650 _2
- $a senioři nad 80 let $7 D000369
- 650 _2
- $a senzitivita a specificita $7 D012680
- 650 _2
- $a prediktivní hodnota testů $7 D011237
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Kmochova, Klara $u Department of Internal Medicine, 1st Faculty of Medicine Charles University, Military University Hospital, Prague, Czechia
- 700 1_
- $a Hejcmanova, Katerina $u Institute of Biostatistics and Analyses Masaryk University, Brno, Czechia
- 700 1_
- $a Ngo, Ondrej $u Institute of Biostatistics and Analyses Masaryk University, Brno, Czechia
- 700 1_
- $a Brodyuk, Nadija $u Department of Internal Medicine, 1st Faculty of Medicine Charles University, Military University Hospital, Prague, Czechia
- 700 1_
- $a Majek, Ondrej $u Institute of Biostatistics and Analyses Masaryk University, Brno, Czechia
- 700 1_
- $a Bures, Jan $u Department of Internal Medicine, 1st Faculty of Medicine Charles University, Military University Hospital, Prague, Czechia $u Department of Gastrointestinal Oncology, Military University Hospital, Prague, Czechia
- 700 1_
- $a Urbanek, Petr $u Department of Internal Medicine, 1st Faculty of Medicine Charles University, Military University Hospital, Prague, Czechia
- 700 1_
- $a Zavoral, Miroslav $u Department of Internal Medicine, 1st Faculty of Medicine Charles University, Military University Hospital, Prague, Czechia $u Department of Gastrointestinal Oncology, Military University Hospital, Prague, Czechia
- 700 1_
- $a Suchanek, Stepan $u Department of Internal Medicine, 1st Faculty of Medicine Charles University, Military University Hospital, Prague, Czechia $u Department of Gastrointestinal Oncology, Military University Hospital, Prague, Czechia
- 773 0_
- $w MED00182195 $t Scientific reports $x 2045-2322 $g Roč. 15, č. 1 (2025), s. 1414
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/39789214 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20250415 $b ABA008
- 991 __
- $a 20250429135322 $b ABA008
- 999 __
- $a ok $b bmc $g 2311572 $s 1247375
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2025 $b 15 $c 1 $d 1414 $e 20250109 $i 2045-2322 $m Scientific reports $n Sci Rep $x MED00182195
- GRA __
- $a DZVRO - MO1012 $p Ministerstvo Obrany České Republiky
- GRA __
- $a Cooperatio $p lékařská fakulta Univerzity Karlovy
- GRA __
- $a NU22-08-00424 $p Agentura Pro Zdravotnický Výzkum České Republiky
- LZP __
- $a Pubmed-20250415