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Deep Learning for Predicting Recurrence and Treatment Response of Colorectal Cancer with Preoperative CT Images

Prognostic study of colorectal cancer CT images based on deep learning - Deep learning based CT Image Prognosis Analysis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400087237
Enrollment
Unknown
Registered
2024-07-23
Start date
2024-07-30
Completion date
Unknown
Last updated
2024-07-29

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

Conditions

Colorectal Cancer

Interventions

Observation group:None

Sponsors

The Sixth Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
40 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1. Colorectal cancer patients who have received radical surgery in the Sixth Affiliated Hospital of Sun Yat-sen University; 2. There are corresponding image images and diagnostic reports

Exclusion criteria

Exclusion criteria: Lack of follow-up information

Design outcomes

Primary

MeasureTime frame
disease-free survival status of Cancer Patients;disease-free survival time of Colorectal Cancer Patients;—

Secondary

MeasureTime frame
Colorectal surgery operation time;—

Countries

China

Contacts

Public ContactGao Feng

The Sixth Affiliated Hospital of Sun Yat-sen University

gaof57@mail.sysu.edu.cn+86 178 2068 1004

Outcome results

None listed

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