Unique ID issued by UMIN | UMIN000031349 |
---|---|
Receipt number | R000035787 |
Scientific Title | Construction of the novel computer-aided diagnosis system for predicting histological healing of UC patients using endocytoscopy |
Date of disclosure of the study information | 2018/02/17 |
Last modified on | 2018/02/17 16:17:15 |
Construction of the novel computer-aided diagnosis system for predicting histological healing of UC patients using endocytoscopy
Construction of the novel computer-aided diagnosis system for histological healing using endocytoscopy
Construction of the novel computer-aided diagnosis system for predicting histological healing of UC patients using endocytoscopy
Construction of the novel computer-aided diagnosis system for histological healing using endocytoscopy
Japan |
Ulcerative colitis
Gastroenterology |
Others
NO
The aim of the present study is to develop and evaluate a computer-aided diagnosis system for histological healing of UC.
Efficacy
Exploratory
Explanatory
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for histological healing in patient-based analysis.
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for histological healing in segment-based analysis.
Others,meta-analysis etc
15 | years-old | <= |
85 | years-old | >= |
Male and Female
UC patients who were taken biopsy after observation with endocytoscopy
None
100
1st name | |
Middle name | |
Last name | Yasuharu Maeda |
Showa University Northern Yokohama Hospital
Digestive Disease Center
35-1, Chigasakityuo, Tsuzuki-ku, Yokohama, Japan
0459497567
yasuharumaeda610@hotmail.com
1st name | |
Middle name | |
Last name | Yasuharu Maeda |
Showa University Northern Yokohama Hospital
Digestive Disease Center
35-1, Chigasakityuo, Tsuzuki-ku, Yokohama, Japan
0459497567
yasuharumaeda610@hotmail.com
Digestive Disease Center, Showa University Northern Yokohama Hospital
Grants in Aid for Scientific Research from the Japan Society for the Promotion of Science
Government offices of other countries
NO
2018 | Year | 02 | Month | 17 | Day |
Unpublished
Completed
2018 | Year | 01 | Month | 01 | Day |
2018 | Year | 01 | Month | 01 | Day |
endoscopic images are allocated to an automated diagnosis sysetm and endoscopists for assessment of accuracy of pathological prediction.
Diganostic accuracies, and confidence levels are evaluated.
2018 | Year | 02 | Month | 17 | Day |
2018 | Year | 02 | Month | 17 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000035787