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Clinical Trial Summary

Although colonoscopy with polypectomy can prevent up to 80% of colorectal cancers, a significant adenoma miss rate still exists, particularly in the right colon. Optimizing the detection of adenomas and sessile serrated lesions in the right colon is crucial to increase the effectiveness of colonoscopy in colorectal cancer prevention.

Last generation Fuji videocolonscopes incorporates the Linked Color Imaging (LCI), a recently developed technology that differentiates the red colour spectrum more effectively than White Light imaging thanks to its optimal pre-process composition of light spectrum and advanced signal processing. The increased colour contrast results in more accurate delineation of abnormal inflammatory or neoplastic findings of colonic mucosa. Preliminary data suggest that LCI may be improve the detection of neoplastic lesion of colon.

The investigators performe a tandem prospective study to compare the right colon adenoma miss rates of LCI colonoscopy with those of conventional white light colonoscopy.

Therefore participants scheduled for colonoscopy for the assessment of symptoms or for colorectal cancer screening/surveillance receive the examination of the right colon twice, in a back to back fashion, with standard white light (WL) and with LCI. Patients are randomly assigned (1:1), via computer-generated randomisation with block size of 20, to which procedure is done first. The endoscopist are masked to group allocation until immediately before the cecum is reached. Examinations are performed with Fuji videocolonscopes series 700 (EC-760R, EC-760ZP).


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT03279783
Study type Interventional
Source Valduce Hospital
Contact
Status Recruiting
Phase N/A
Start date July 1, 2017
Completion date December 30, 2017

See also
  Status Clinical Trial Phase
Not yet recruiting NCT06406062 - Artificial Intelligence-assisted System in Colonoscopy
Completed NCT03775811 - In Vivo Computer-aided Prediction of Polyp Histology on White Light Colonoscopy