Unique ID issued by UMIN | UMIN000050881 |
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Receipt number | R000057976 |
Scientific Title | Deep learning-based vessel automatic recognition for laparoscopic right hemicolectomy |
Date of disclosure of the study information | 2023/04/19 |
Last modified on | 2023/04/18 20:16:30 |
Deep learning-based vessel recognition
DL-based vessel recognition
Deep learning-based vessel automatic recognition for laparoscopic right hemicolectomy
DL-based vessel recognition
Japan |
Colon cancer
Gastrointestinal surgery |
Malignancy
NO
In laparoscopic right hemicolectomy (RHC) for right-sided colon cancer, accurate recognition of the vascular anatomy is required for appropriate lymph node harvesting and safe operative procedures. We aimed to develop a deep learning model that enables the automatic recognition and visualization of major blood vessels in laparoscopic RHC.
Efficacy
Exploratory
Pragmatic
Phase I
The Dice coefficient (DC), recall, and precision were utilized as evaluation metrics to quantify the model performance after five-fold cross-validation. The model was further qualitatively appraised by 13 surgeons based on a grading rubric to assess its potential for clinical application.
Others,meta-analysis etc
Not applicable |
Not applicable |
Male and Female
those who underwent either laparoscopic ileocecectomy or right-hemicolectomy between January 2018 and January 2021.
every case in which the concent failed to be obtained.
1st name | Masaaki |
Middle name | |
Last name | Ito |
National Cancer Center Hospital East
AI Digital Device Innovation Office
277-8577
6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, JAPAN
04-7133-1111
maito@east.ncc.go.jp
1st name | Kyoko |
Middle name | |
Last name | Ryu |
National Cancer Center Hospital East
AI Digital Device Innovation Office
277-8577
6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, JAPAN
04-7133-1111
kryuu@east.ncc.go.jp
National Cancer Center Hospital East
Japan Agency for Medical Research and Development
Non profit foundation
National Cancer Center Hospital East
6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, JAPAN
04-7133-1111
maito@east.ncc.go.jp
NO
2023 | Year | 04 | Month | 19 | Day |
Unpublished
104
Completed
2020 | Year | 03 | Month | 10 | Day |
2020 | Year | 03 | Month | 10 | Day |
2020 | Year | 03 | Month | 10 | Day |
2023 | Year | 03 | Month | 31 | Day |
This single-center study was conducted using intraoperative video data from laparoscopic RHC performed at the National Cancer Center Hospital East, Chiba, Japan, between January 2018 and January 2020.
2023 | Year | 04 | Month | 18 | Day |
2023 | Year | 04 | Month | 18 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000057976
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