Unique ID issued by UMIN | UMIN000041823 |
---|---|
Receipt number | R000047273 |
Scientific Title | Diagnostic yield Evaluation Studies of a real-time endoscopic Image diagNosis support system using Artificial Intelligence technology |
Date of disclosure of the study information | 2020/09/25 |
Last modified on | 2023/03/20 10:30:25 |
Diagnostic yield Evaluation Studies of a real-time endoscopic Image diagNosis support system using Artificial Intelligence technology
DESIGN AI-02 Pilot Study
Diagnostic yield Evaluation Studies of a real-time endoscopic Image diagNosis support system using Artificial Intelligence technology
DESIGN AI-02 Pilot Study
Japan |
Colorectal Neoplasms
Gastroenterology |
Malignancy
NO
To evaluate an artificial intelligence (AI) system that automatically detects early signs of colorectal cancer, as well as to confirm effectiveness during colonoscopy, in multicenter.
Others
Feasibility
Confirmatory
Not applicable
Adenoma Detection Rate
1) Adenoma per Positive Colonoscopy
2) Polyp Detection Rate
3) Total procedure time
4) Insertion time
5) Withdrawal time
6) Acceptance (Questionnaire)
7) Sessile serrated lesion detection rate
8) Flat adenoma Detection Rate
9) Depressed lesion Detection Rate
Observational
20 | years-old | <= |
90 | years-old | >= |
Male and Female
1) Patients who undergo colonoscopy
2) Age: 20 to 90 (at the registry)
3) ECOG performance status: 0-2
4) No prior chemotherapy and radiation therapy for colorectal cancer
5) Patients who can follow Guidelines for gastroenterological endoscopy in patients undergoing antithrombotic treatment
6) Written informed consent
1) Familial adenomatous polyposis
2) Patients with complications, such as chronical hematological disease
3) Patients with active inflammatory bowel diseases, such as ulcerative colitis or Crohn's disease
100
1st name | Masayoshi |
Middle name | |
Last name | Yamada |
National Cancer Center Hospital
Endoscopy Division
104-0045
5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan
03-3542-2511
masyamad@ncc.go.jp
1st name | Masayoshi |
Middle name | |
Last name | Yamada |
National Cancer Center Hospital
Endoscopy Division
104-0045
5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan
03-3542-2511
masyamad@ncc.go.jp
National Cancer Center Hospital
NEC Corporation
Profit organization
National Cancer Center Research Ethics Review Committee
5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan
03-3542-2511
irst@ncc.go.jp
NO
国立がん研究センター中央病院(東京都)
東京慈恵会医科大学附属病院(東京都)
2020 | Year | 09 | Month | 25 | Day |
none
Unpublished
none
110
The overall adenoma detection rate was 49.1% (95% CI: 39.4% to 58.8%), the polyp detection rate was 60.9% (51.1% to 70.1%), the average polyps per colonoscopy was 1.7 (1.33 to 2.10), the false detection rate was 36.4% (27.4% to 46.1%), the detection rate of diminutive polyps was 0% (0% to 3.3%), and the right-sided colon detection rate was 4.5% (1.5% to 10.3%). The median insertion time was 5.6 (ranging from 1.5 to 25) minutes, and the median observation time was 10.4 (ranging from 3.8 to 29.9) minutes.
2023 | Year | 03 | Month | 20 | Day |
Male/Female = 61/49, median age of 67 (ranging from 32 to 83) years old. The aim of the colonoscopies were fecal occult blood test, post-polypectomy surveillance, postoperative surveillance, screening, and symptomatic evaluation, with 10, 38, 32, 26, and 4 cases, respectively. Nineteen endoscopists conducted the colonoscopies, with specialists performing 60 cases (55%) and non-specialists performing 50 cases (45%). A total of 71 and 39 cases used endoscopes from companies A and B, respectively.
Not applicable
none
overall adenoma detection rate (ADR), polyp detection rate (PDR), average polyps per colonoscopy (APPC) , false detection rate (FDR), detection rate of diminutive polyps (DDR), right-sided colon detection rate (SDR), median insertion time, median observation time, Patients' acceptance of AI-assisted examinations
Completed
2020 | Year | 08 | Month | 01 | Day |
2020 | Year | 08 | Month | 31 | Day |
2020 | Year | 11 | Month | 10 | Day |
2020 | Year | 12 | Month | 29 | Day |
Prospective observational study
2020 | Year | 09 | Month | 17 | Day |
2023 | Year | 03 | Month | 20 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047273