| 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Unpublished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