Literature DB >> 23375148

High-definition with i-Scan gives comparable accuracy for detecting colonic lesions by non-expert and expert endoscopists.

Pier Alberto Testoni1, Chiara Notaristefano, Milena Di Leo, Cristian Vailati, Giorgia Mazzoleni, Edi Viale.   

Abstract

BACKGROUND: Lesion detection rate during colonoscopy may be influenced by the endoscopist's experience. EPK-i system colonoscopy (i-Scan) can improve mucosal and vascular visualization for detecting lesions. AIM: To compare mucosal lesions detection rate and the withdrawal time of the instrument among non-expert and expert endoscopists.
METHODS: Colonoscopy records of all consecutive patients undergoing first HD+ with i-Scan- or SWL-equipped colonoscopy for colorectal cancer screening over a twelve-month period were evaluated, in a "post hoc" analysis.
RESULTS: 542 colonoscopies (389 HD+ with i-Scan; 153 SWL): expert and non-expert endoscopists did respectively 272 and 117 HD+ with i-Scan and 83 and 70 SWL colonoscopies. Expert endoscopists did more i-Scan colonoscopies than non-experts (p=0.006). In the SWL procedures, the experts detected mucosal lesions in more colonoscopies than non-experts (61/22 vs. 23/47, p=0.0001) and found a significantly higher mean number of lesions (1.34 vs. 0.47; p=0.0001). Experts detected more or less the same mean number of lesions with both imaging techniques, while among non-experts detection with HD+ with i-Scan was significantly better than with SWL imaging (1.39 vs. 0.47; p=0.0001).
CONCLUSIONS: HD+ with i-Scan imaging enables less skilled endoscopists to achieve results comparable to those of experienced ones in detecting mucosal lesions.
Copyright © 2013 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23375148     DOI: 10.1016/j.dld.2012.12.014

Source DB:  PubMed          Journal:  Dig Liver Dis        ISSN: 1590-8658            Impact factor:   4.088


  7 in total

Review 1.  Seeing better--Evidence based recommendations on optimizing colonoscopy adenoma detection rate.

Authors:  Javier Aranda-Hernández; Jason Hwang; Gabor Kandel
Journal:  World J Gastroenterol       Date:  2016-02-07       Impact factor: 5.742

Review 2.  From the surface to the single cell: Novel endoscopic approaches in inflammatory bowel disease.

Authors:  Timo Rath; Gian Eugenio Tontini; Markus F Neurath; Helmut Neumann
Journal:  World J Gastroenterol       Date:  2015-10-28       Impact factor: 5.742

Review 3.  Advanced gastrointestinal endoscopic imaging for inflammatory bowel diseases.

Authors:  Gian Eugenio Tontini; Timo Rath; Helmut Neumann
Journal:  World J Gastroenterol       Date:  2016-01-21       Impact factor: 5.742

4.  High Definition Colonoscopy Combined with i-SCAN Imaging Technology Is Superior in the Detection of Adenomas and Advanced Lesions Compared to High Definition Colonoscopy Alone.

Authors:  Erik A Bowman; Patrick R Pfau; Arnab Mitra; Mark Reichelderfer; Deepak V Gopal; Benjamin S Hall; Mark E Benson
Journal:  Diagn Ther Endosc       Date:  2015-06-18

5.  Natural nasal-esophageal fiberscopy in the COVID-19 pandemic-preventing sneezing without anesthesia: a case report.

Authors:  Koichi Tsunoda; Ko Hentona; Yoshiharu Yamanobe
Journal:  Eur J Med Res       Date:  2021-06-09       Impact factor: 2.175

6.  Efficacy of i-Scan Imaging for the Detection and Diagnosis of Early Gastric Carcinomas.

Authors:  Junichi Nishimura; Jun Nishikawa; Munetaka Nakamura; Atsushi Goto; Kouichi Hamabe; Shinichi Hashimoto; Takeshi Okamoto; Masato Suenaga; Yusuke Fujita; Yoshihiko Hamamoto; Isao Sakaida
Journal:  Gastroenterol Res Pract       Date:  2014-03-09       Impact factor: 2.260

7.  High-definition endoscopy with digital chromoendoscopy for histologic prediction of distal colorectal polyps.

Authors:  Timo Rath; Gian E Tontini; Andreas Nägel; Michael Vieth; Steffen Zopf; Claudia Günther; Arthur Hoffman; Markus F Neurath; Helmut Neumann
Journal:  BMC Gastroenterol       Date:  2015-10-22       Impact factor: 3.067

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.