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Verification of Automatic segmentatioN Using Graphical OrganizinG software for 3D Hepatic structures

Verification of Automatic segmentatioN Using Graphical OrganizinG software for 3D Hepatic structures - VAN-GOGH Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000040604
Enrollment
200
Registered
2020-06-01
Start date
2020-06-01
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

liver tumor

Interventions

None listed

Sponsors

National Cancer Center Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Patients who are scheduled of or underwent liver resection for liver tumor 2) Patients who are scheduled of or underwent a one-millimeter thickness slice computed tomography scan

Exclusion criteria

Exclusion criteria: Patients who do not meet inclusion criteria

Design outcomes

Primary

MeasureTime frame
Volumetric error of a tumor-bearing Couinaud's liver segment between artificial intelligence calculation and manual calculation

Countries

Japan

Contacts

Public ContactTakeshi Takamoto

National Cancer Center Hospital Hepatibilliary Pancreatic Surgery

ttakamot@ncc.go.jp+81-3-3542-2511

Outcome results

None listed

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