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Multimodal deep learning prognostic model for liver metastasis of colorectal cancer

Multimodal deep learning prognostic model for liver metastasis of colorectal cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116770
Enrollment
Unknown
Registered
2026-01-14
Start date
2026-01-16
Completion date
Unknown
Last updated
2026-01-27

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

Conditions

Diagnosed with liver metastasis of colorectal cancer

Interventions

Training group, validation group:No intervention

Sponsors

Guabgzhou First People‘s Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Age: 18 - 80 years old; 2.Histologically diagnosed as colorectal adenocarcinoma; 3.Hepatic metastasis confirmed by imaging or pathology (synchronous or metachronous); 4.At least have H&E whole-slide image (WSI); 5.Follow-up for >= 12 months or has experienced OS/DFS event;

Exclusion criteria

Exclusion criteria: 1.Previous history of other malignant tumors; 2.Complicated with severe liver disease or decompensated liver cirrhosis; 3.Key data is missing; 4.The quality of pathological sections does not meet the standards;

Design outcomes

Primary

MeasureTime frame
Overall survival;Disease free survival;—

Countries

China

Contacts

Public ContactLi Ning

Guabgzhou First People‘s Hospital

Lynn2012@126.com+86 20 81048282

Outcome results

None listed

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