FindTrial
Sign In

Automatic Liver Vessel Recognition for Laparoscopic Liver resection using Artificial Intelligence

Automatic Liver Vessel Recognition for Laparoscopic Liver resection using Artificial Intelligence - AI For Laparoscopic Hepatectomy

Status
Active, not recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000051541
Enrollment
53
Registered
2023-07-07
Start date
2020-09-30
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hepatocellular Carcinoma Metastatic Cancer Of The Liver Intrahepatic Cholangiocarcinoma

Interventions

None listed

Sponsors

National Cancer Center Hospital East
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: We constructed a dataset containing 53 cases of laparoscopic partial liver resection, all of which were performed by four surgeons at the National Cancer Center Hospital East (NCCHE) in Kashiwa, Japan, between July 2018 and January 2020.

Exclusion criteria

Exclusion criteria: Patients with partial liver resection of segment 1 and no vessels requiring clipping during liver parenchymal transection.

Design outcomes

Primary

MeasureTime frame
The evaluation metrics for the models were the Dice coefficient for quantitative assessment, and the rubric-based assessment by ten gastroenterological surgeons for qualitative assessment.—

Countries

Japan

Contacts

Public ContactMasaaki Ito

National Cancer Center Hospital East Division of Medical Device Innovation

maito@east.ncc.go.jp0471-33-1111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026