A Trend of Preference of Magnifying Chromoendoscopy to Narrow Band Imaging in Diagnosis of T1 Colorectal Cancer With Deep Invasion Could Be Observed

2017 ◽  
Vol 112 (3) ◽  
pp. 512-514 ◽  
Author(s):  
Qing-Wei Zhang ◽  
Xin-Tian Zhang ◽  
Ying Zhou ◽  
Zhi-Zheng Ge ◽  
Xiao-Bo Li
Keyword(s):  
Colorectal Cancer ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
T1 Colorectal Cancer ◽  
Magnifying Chromoendoscopy

Multicentre prospective evaluation of real-time optical diagnosis of T1 colorectal cancer in large non-pedunculated colorectal polyps using narrow band imaging (the OPTICAL study)

Gut ◽  
2018 ◽  
Vol 68 (2) ◽  
pp. 271-279 ◽  
Author(s):  
Yara Backes ◽  
Matthijs P Schwartz ◽  
Frank ter Borg ◽  
Frank H J Wolfhagen ◽  
John N Groen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Score ◽  
White Light ◽  
Clinical Decision Making ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colorectal Polyps ◽  
Optical Diagnosis ◽  
Temporal Validation ◽  
T1 Colorectal Cancer

ObjectiveThis study evaluated the preresection accuracy of optical diagnosis of T1 colorectal cancer (CRC) in large non-pedunculated colorectal polyps (LNPCPs).DesignIn this multicentre prospective study, endoscopists predicted the histology during colonoscopy in consecutive patients with LNPCPs using a standardised procedure for optical assessment. The presence of morphological features assessed with white light, and vascular and surface pattern with narrow-band imaging (NBI) were recorded, together with the optical diagnosis, the confidence level of prediction and the recommended treatment. A risk score chart was developed and validated using a multivariable mixed effects binary logistic least absolute shrinkage and selection (LASSO) model.ResultsAmong 343 LNPCPs, 47 cancers were found (36 T1 CRCs and 11 ≥T2 CRCs), of which 11 T1 CRCs were superficial invasive T1 CRCs (23.4% of all malignant polyps). Sensitivity and specificity for optical diagnosis of T1 CRC were 78.7% (95% CI 64.3 to 89.3) and 94.2% (95% CI 90.9 to 96.6), and 63.3% (95% CI 43.9 to 80.1) and 99.0% (95% CI 97.1 to 100.0) for optical diagnosis of endoscopically unresectable lesions (ie, ≥T1 CRC with deep invasion), respectively. A LASSO-derived model using white light and NBI features discriminated T1 CRCs from non-invasive polyps with a cross-validation area under the curve (AUC) of 0.85 (95% CI 0.80 to 0.90). This model was validated in a temporal validation set of 100 LNPCPs (AUC of 0.81; 95% CI 0.66 to 0.96).ConclusionOur study provides insights in the preresection accuracy of optical diagnosis of T1 CRC. Sensitivity is still limited, so further studies will show how the risk score chart could be improved and finally used for clinical decision making with regard to the type of endoresection to be used and whether to proceed to surgery instead of endoscopy.Trial registration numberNTR5561.

scholarly journals Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer

2020 ◽  
Vol 9 (10) ◽  
pp. 3313 ◽  
Author(s):  
Hemant Goyal ◽  
Rupinder Mann ◽  
Zainab Gandhi ◽  
Abhilash Perisetti ◽  
Aman Ali ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Colorectal Cancer ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
Narrow Band Imaging ◽  
Screening Methods ◽  
Polyp Detection ◽  
Mortality And Morbidity ◽  
Magnifying Chromoendoscopy

Globally, colorectal cancer is the third most diagnosed malignancy. It causes significant mortality and morbidity, which can be reduced by early diagnosis with an effective screening test. Integrating artificial intelligence (AI) and computer-aided detection (CAD) with screening methods has shown promising colorectal cancer screening results. AI could provide a “second look” for endoscopists to decrease the rate of missed polyps during a colonoscopy. It can also improve detection and characterization of polyps by integration with colonoscopy and various advanced endoscopic modalities such as magnifying narrow-band imaging, endocytoscopy, confocal endomicroscopy, laser-induced fluorescence spectroscopy, and magnifying chromoendoscopy. This descriptive review discusses various AI and CAD applications in colorectal cancer screening, polyp detection, and characterization.

scholarly journals Magnifying narrow-band imaging with acetic acid to diagnose early colorectal cancer

2014 ◽  
Vol 20 (43) ◽  
pp. 16306 ◽  
Author(s):  
Norihiro Goto ◽  
Toshihiro Kusaka ◽  
Yumi Tomita ◽  
Hideyuki Tanaka ◽  
Yoshio Itokawa ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Acetic Acid ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Early Colorectal Cancer

scholarly journals A Comparison of Magnifying Chromoendoscopy Versus Narrow Band Imaging in the Diagnosis of Depth of Invasion for Early Colorectal Cancers

2011 ◽  
Vol 23 (2) ◽  
pp. 129-144
Author(s):  
Yasutoshi KOBAYASHI ◽  
Shin-ei KUDO ◽  
Hideyuki MIYACHI ◽  
Toshihisa HOSOYA ◽  
Takemasa HAYASHI ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colorectal Cancers ◽  
Depth Of Invasion ◽  
Magnifying Chromoendoscopy

Comparison of magnifying chromoendoscopy and narrow band imaging for diagnosis of small colorectal polyps

2011 ◽  
Vol 49 (05) ◽  
Author(s):  
I Rácz ◽  
Z Horváth ◽  
N Dancs ◽  
V Kovács ◽  
G Szabó ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colorectal Polyps ◽  
Magnifying Chromoendoscopy
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