Unique ID issued by UMIN | UMIN000032476 |
---|---|
Receipt number | R000037031 |
Scientific Title | Construction of the novel computer-aided diagnosis system for predicting histologic inflammatory severity of Ulcerative colitis patients using endocytoscopy |
Date of disclosure of the study information | 2018/05/06 |
Last modified on | 2022/05/16 20:28:41 |
Construction of the novel computer-aided diagnosis system for predicting histologic inflammatory severity of Ulcerative colitis patients using endocytoscopy
Construction of the novel computer-aided diagnosis system for predicting histologic inflammatory severity of Ulcerative colitis patients
Construction of the novel computer-aided diagnosis system for predicting histologic inflammatory severity of Ulcerative colitis patients using endocytoscopy
Construction of the novel computer-aided diagnosis system for predicting histologic inflammatory severity of Ulcerative colitis patients
Japan |
Ulcerative colitis
Gastroenterology |
Others
NO
The aim of the present study is to develop and evaluate a computer-aided diagnosis system for histological inflammatory severity of UC.
Efficacy
Exploratory
Explanatory
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for predicting persist of histologic inflammation in segment-based analysis.
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for predicting persist of histologic inflammation in segments with mucosal healing.
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for predicting persist of histologic inflammation in patient-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
200
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 | 05 | Month | 06 | Day |
Unpublished
Completed
2018 | Year | 04 | Month | 30 | Day |
2018 | Year | 04 | Month | 30 | Day |
2018 | Year | 05 | Month | 01 | Day |
2021 | Year | 11 | Month | 16 | 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 | 05 | Month | 06 | Day |
2022 | Year | 05 | Month | 16 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000037031