scholarly journals Flexible hysteroscopy with narrow band imaging (NBI) for endoscopic diagnosis of malignant endometrial lesions

2011 ◽  
Vol 38 (3) ◽  
Author(s):  
Banno
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Endoscopic Diagnosis

Validation of a Simple Classification System for Endoscopic Diagnosis of Small Colorectal Polyps Using Narrow-Band Imaging

2012 ◽  
Vol 143 (3) ◽  
pp. 599-607.e1 ◽  
Author(s):  
David G. Hewett ◽  
Tonya Kaltenbach ◽  
Yasushi Sano ◽  
Shinji Tanaka ◽  
Brian P. Saunders ◽  
...  
Keyword(s):  
Classification System ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colorectal Polyps ◽  
Endoscopic Diagnosis ◽  
Simple Classification

Analysis of factors related to poor outcome after e-learning training in endoscopic diagnosis of early gastric cancer using magnifying narrow-band imaging

2019 ◽  
Vol 90 (3) ◽  
pp. 440-447.e1 ◽  
Author(s):  
Hisatomo Ikehara ◽  
Hisashi Doyama ◽  
Hiroyoshi Nakanishi ◽  
Waku Hatta ◽  
Takuji Gotoda ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Endoscopic Diagnosis ◽  
Poor Outcome ◽  
E Learning

Improvement in endoscopic diagnosis of lung cancer by narrow-band imaging (NBI)

2015 ◽  
Author(s):  
Carles Grimau ◽  
Guadalupe Bermudo ◽  
Luis Urrelo ◽  
Miguel Gallego ◽  
Eduard Monso
Keyword(s):  
Lung Cancer ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Endoscopic Diagnosis ◽  
Diagnosis Of Lung Cancer

OC1.06.2 NARROW BAND IMAGING (NBI) IN ENDOSCOPIC DIAGNOSIS OF CELIAC DISEASE (CD)

2008 ◽  
Vol 40 ◽  
pp. S21
Author(s):  
M. Rogheto ◽  
M.T. Fabi ◽  
P. Cioccolini ◽  
D. Baroncini
Keyword(s):  
Celiac Disease ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Endoscopic Diagnosis

scholarly journals Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study

2017 ◽  
Vol 05 (08) ◽  
pp. E690-E694 ◽  
Author(s):  
Naoto Tamai ◽  
Yutaka Saito ◽  
Taku Sakamoto ◽  
Takeshi Nakajima ◽  
Takahisa Matsuda ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Computer Aided Diagnosis ◽  
Endoscopic Diagnosis ◽  
Type I ◽  
Predictive Values ◽  
Computer Aided ◽  
Diagnostic Values ◽  
Aided Diagnosis

Abstract Background and study aims Magnifying narrow-band imaging (M-NBI) enables detailed observation of microvascular architecture and can be used in endoscopic diagnosis of colorectal lesion. However, in clinical practice, differential diagnosis and estimation of invasion depth of colorectal lesions based on M-NBI findings require experience. Therefore, developing computer-aided diagnosis (CAD) for M-NBI would be beneficial for clinical practice. The aim of this study was to evaluate the effectiveness of software for CAD of colorectal lesions. Materials and methods In collaboration with Yamaguchi University, we developed novel software that enables CAD of colorectal lesions using M-NBI images. This software for CAD further specifically divides original Sano’s colorectal M-NBI classification into 3 groups (group A, capillary pattern [CP] type I; group B, CP type II + CP type IIIA; group C, CP type IIIB), which describe hyperplastic polyps (HPs), adenoma/adenocarcinoma (intramucosal [IM] to submucosal [SM]-superficial) lesions, and SM-deep lesions, respectively. We retrospectively reviewed 121 lesions evaluated using M-NBI. Results The 121 reviewed lesions included 21 HP, 80 adenoma/adenocarcinoma (IM to SM-superficial), and 20 SM-deep lesions. The concordance rate between the CAD and the diagnosis of the experienced endoscopists was 90.9 %. The sensitivity, specificity, positive and negative predictive values, and accuracy of the CAD for neoplastic lesions were 83.9 %, 82.6 %, 53.1 %, 95.6 %, and 82.8 %, respectively. The values for SM-deep lesions were 83.9 %, 82.6 %, 53.1 %, 95.6 %, and 82.8 %, respectively. Conclusion Relatively high diagnostic values were obtained using CAD. This software for CAD could possibly lead to a wider use of M-NBI in the endoscopic diagnosis of colorectal lesions.

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