NIPH Clinical Trials Search

JAPANESE
国立保健医療科学院
UMIN ID: UMIN000031430

Registered date:15/03/2018

Evaluation of ulcerative colitis with deep neural networks based on endoscopic images

Basic Information

Recruitment status Complete: follow-up complete
Health condition(s) or Problem(s) studiedUlcerative colitis
Date of first enrollment2018/04/01
Target sample size500
Countries of recruitmentJapan
Study typeObservational
Intervention(s)

Outcome(s)

Primary Outcomeaccuracy of DNN-UC to evaluate endoscopic and histological healing
Secondary Outcomei) ability of DNN-UC to score UCEIS ii) accuracy of DNN-UC for endoscopic and histological healing in each segment iii) accuracy of DNN-UC in each confidence case iv) accuracy of DNN-UC stratified with the degree of colon cleaning.

Key inclusion & exclusion criteria

Age minimum15years-old
Age maximumNot applicable
GenderMale and Female
Include criteria
Exclude criteriai) patients with prior colon surgery, IBD unclassified, Crohns disease, colorectal neoplasia, or concomitant infectious colitis ii) patients for whom colonoscopy were contraindicated iii) patients for whom biopsy were contraindicated because of blood disease or antithrombotic or anticoagulation therapy.

Related Information

Contact

public contact
Name Kento Takenaka
Address 1-5-45 Yushima, Bunkyo-ku, Tokyo, Japan Japan
Telephone 03-5803-5877
E-mail ktakenaka.gast@tmd.ac.jp
Affiliation Tokyo Medical and Dental University Department of Endoscopy
scientific contact
Name Kazuo Ohtsuka
Address 1-5-45 Yushima, Bunkyo-ku, Tokyo, Japan Japan
Telephone 03-5803-5877
E-mail kohtsuka.gast@tmd.ac.jp
Affiliation Tokyo Medical and Dental University Department of Endoscopy