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Value of preoperative identification of colorectal cancer liver metastasis based on fusion model of plain CT imaging omics and deep learning

Value of preoperative identification of colorectal cancer liver metastasis based on fusion model of plain CT imaging omics and deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600121265
Enrollment
Unknown
Registered
2026-03-27
Start date
2026-03-31
Completion date
Unknown
Last updated
2026-03-30

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

Conditions

Colorectal cancer liver metastases

Interventions

Gold Standard:Patients with colorectal cancer diagnosed by pathology or clinical gold standard
Index test:To establish a differential model of colorectal cancer liver metastasis based on "plain CT + imaging omics + Deep Learning + clinical features"

Sponsors

Beijing Haidian Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Experimental group: colorectal cancer liver metastasis confirmed by pathology or enhanced ct/mri/pet-ct; 2.Control group: no liver metastasis after radical surgery for >= 12 months.

Exclusion criteria

Exclusion criteria: 1.Combined with other malignant tumor history; 2.Diffuse liver diseases such as severe fatty liver and liver cirrhosis; 3.Received anti-tumor therapy before CT; 4.Lesions with short diameter <10mm or complete cystic / calcified lesions; 5.There are serious artifacts in the image.

Design outcomes

Primary

MeasureTime frame
Whether liver metastasis occurs;—

Countries

China

Contacts

Public ContactLu Jia

Beijing Haidian Hospital

lujia0204@163.com+86 10 82693830

Outcome results

None listed

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