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Deep learning based radiomics for preoperative microvascular invasion and high-risk area detection with comparison between gadoxetic acid-enhanced MRI and contrast-enhanced CT: a multi-center and prospective validation study

Study for multimodelling radiomics for microvascular invasion prediction in hepatocellular carcinoma

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900027103
Enrollment
Unknown
Registered
2019-10-31
Start date
2014-01-01
Completion date
Unknown
Last updated
2019-11-04

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

Conditions

Hepatocellular carcinoma

Interventions

Gold Standard:Histopathologic examinations of the surgical specimens
Index test:Artificial&#32
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system

Sponsors

Chinese Academy of Sciences
Lead Sponsor

Eligibility

Sex/Gender
All
Age
45 Years to 68 Years

Inclusion criteria

Inclusion criteria: 1. Accept surgery of liver transplantation; 2. Patients with surgically confirmed HCC; 3. Histopathological examination with proven MVI status recorded; 4. Preoperative EOB-MRI or CE-CT were performed within one month prior to surgery.

Exclusion criteria

Exclusion criteria: 1. Patients without important clinical data; 2. Patients with any previous antitumoral treatment; 3. Patients without conclusive histopathological confirmation of MVI status; 4. Patients with insufficient image quality to perform reliable qualitative or radiomics analysis.

Design outcomes

Primary

MeasureTime frame
microvascular invasion;—

Countries

China

Contacts

Public ContactJingwei Wei

Chinese Academy of Sciences, Institute of Automation

weijingwei2014@ia.ac.cn+86 15201441394

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026