Unique ID issued by UMIN | UMIN000043512 |
---|---|
Receipt number | R000049683 |
Scientific Title | Clinical trial to examine the usefulness of diagnosis of lymph node metastases for gastric cancer using machine learning algorithm |
Date of disclosure of the study information | 2021/03/10 |
Last modified on | 2023/08/02 15:12:09 |
Clinical trial to examine the usefulness of diagnosis of lymph node metastases for gastric cancer using machine learning algorithm
Clinical trial to examine the usefulness of diagnosis of lymph node metastases for gastric cancer using machine learning algorithm
Clinical trial to examine the usefulness of diagnosis of lymph node metastases for gastric cancer using machine learning algorithm
Clinical trial to examine the usefulness of diagnosis of lymph node metastases for gastric cancer using machine learning algorithm
Japan |
gastric cancer
Surgery in general | Gastrointestinal surgery |
Malignancy
NO
To test the usefulness of a machine learnming algorithm established before in terms of potentials to (1)improve the diagnostic accuracy of pathologists (2)reduce the mental and physical burdens of the pathologists for the diagnosis.
Efficacy
Confirmatory
Pragmatic
Not applicable
Accuracy (accuracy rate, sensitivity, and specificity) for the diagnosis of lymph node metastasis for gastric cancer
Duration, confidence, accuracy according to the histological types, and minimum size of lesion for the diagnosis of metastasis by pathologists
Observational
20 | years-old | <= |
Not applicable |
Male and Female
1) A case in which gastric cancer was diagnosed before surgery and gastrectomy or total gastrectomy with lymph node dissection was performed.
2) The histological type of the main lesion is papillary adenocarcinoma, well-differentiated tubular adenocarcinoma, moderately differentiated tubular adenocarcinoma, solid poorly differentiated adenocarcinoma, non-solid poorly differentiated adenocarcinoma, signet ring cell carcinoma, or mucinous cancer. What is
3) The section at the time of histopathological diagnosis is in a state that can withstand re-analysis.
1) Those containing special histological types such as adenosquamous carcinoma, squamous carcinoma, and carcinoid tumor in the main lesion
2) When the person in charge of research determines that participation in this research is inappropriate
3) When the research subject expresses refusal to participate in this research by opt-out
32
1st name | Hideki |
Middle name | |
Last name | Hayashi |
Chiba University Hospital (Medtech Link Center) / Frontier Medical Engineering Center
Esophageal-Gastro-Intestinal Surgery
260-8677
1-8-1 Inohana, Chuo-ku, Chiba-shi, Chiba
043-226-2109
hhayashi@faculty.chiba-u.jp
1st name | Hideki |
Middle name | |
Last name | Hayashi |
Chiba University Hospital (Medtech Link Center) / Frontier Medical Engineering Center
Esophageal-Gastro-Intestinal Surgery
260-8677
1-8-1 Inohana, Chuo-ku, Chiba-shi, Chiba
043-226-2109
hhayashi@faculty.chiba-u.jp
Chiba University Hospital
No
Other
Chiba University Graduate School of Medicine Ethics Review Committee
1-8-1 Inohana, Chuo-ku, Chiba-shi, Chiba
043-222-7171
igaku-rinri@office.chiba-u.jp
NO
2021 | Year | 03 | Month | 10 | Day |
Unpublished
6
Completed
2021 | Year | 02 | Month | 17 | Day |
2021 | Year | 03 | Month | 25 | Day |
2021 | Year | 04 | Month | 01 | Day |
2022 | Year | 03 | Month | 31 | Day |
2022 | Year | 09 | Month | 30 | Day |
2022 | Year | 09 | Month | 30 | Day |
2023 | Year | 03 | Month | 31 | Day |
The subjects are patients who have undergone gastrectomy or total gastrectomy with lymph node dissection.
This study is an observational study using postoperative histopathological specimens and does not analyze medical information.
2021 | Year | 03 | Month | 03 | Day |
2023 | Year | 08 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000049683