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Prognosis prediction of gastrointestinal cancer based on radiomics, pathomics, proteomics and deep learning

Prognosis prediction of gastrointestinal cancer based on radiomics, pathomics, proteomics and deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500097954
Enrollment
Unknown
Registered
2025-02-27
Start date
2025-03-01
Completion date
Unknown
Last updated
2025-03-03

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

Conditions

Gastrointestinal cancer

Interventions

Training group :None
Validation group :None

Sponsors

Shanghai Changhai Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: (1) underwent surgical treatment; (2) Postoperative pathological diagnosis of gastric cancer, intestinal cancer, liver cancer or pancreatic cancer; (3) High-resolution contrasted CT and/or 3.0T contrast-enhanced MRI scans completed within three months before surgery; (4) Postoperative specimens were collected for pathological standardization and large tissue pathological sections.

Exclusion criteria

Exclusion criteria: (1) Combined with other malignant tumors; (2) Incomplete clinical data or poor quality of imaging and pathological images; (3) Received other anti-cancer therapy other than surgery; (4) Patient loss to follow-up.

Design outcomes

Primary

MeasureTime frame
Postoperative overall survival;—

Countries

China

Contacts

Public ContactYun Bian

Shanghai Changhai Hospital

bianyun2012@foxmail.com+86 138 1635 7024

Outcome results

None listed

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