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Application of imagingomics and deep learning in the pathology and prognosis of liver cancer

Application of imagingomics and deep learning in the pathology and prognosis of liver cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104899
Enrollment
Unknown
Registered
2025-06-25
Start date
2025-07-14
Completion date
Unknown
Last updated
2025-06-30

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

Conditions

Hepatocellular carcinoma

Interventions

Training set group:70% of these patients were randomly selected as the training set
validation set group:30% of these patients were randomly selected as the validation set

Sponsors

The Third People's Hospital of Mianyang
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Pathologically confirmed as HCC; 2. Curative surgical resection or liver transplantation; 3. Receive Gd-DPTA MRI or CT enhanced scan within two weeks before the operation

Exclusion criteria

Exclusion criteria: 1. Recurrent HCC or combined with other primary tumors; 2. The image quality does not meet the post-processing requirements; 3. There is a history of anti-cancer treatment before the operation.

Design outcomes

Primary

MeasureTime frame
Gleason rating;Recurrence of tumor;

Secondary

MeasureTime frame
Clinical data;

Countries

China

Contacts

Public ContactWang Lei

The Third People's Hospital of Mianyang

lifan1788@126.com+86 187 8113 0558

Outcome results

None listed

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