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CT artificial intelligence based on tumor immune microenvironment predicting the prognosis of stage II colorectal cancer

CT artificial intelligence based on tumor immune microenvironment predicting the prognosis of stage II colorectal cancer

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035734
Enrollment
Unknown
Registered
2020-08-16
Start date
2020-09-16
Completion date
Unknown
Last updated
2020-08-17

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

Conditions

colorectal cancer

Interventions

Sponsors

Fudan University Shanghai Cancer Center
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Patients with histopathologically confirmed colorectal cancer; 2. Abdominal or pelvic enhanced CT examination with complete images are scheduled and performed within 10 days before surgery; 3. Complete clinical data and pathological information; 4. Patients who signed written informed consent to participate in the study.

Exclusion criteria

Exclusion criteria: 1. Preoperative treatment (neoadjuvant chemotherapy or radiotherapy); 2. concurrent malignancy at another site.

Design outcomes

Primary

MeasureTime frame
the area under the receiver operating characteristic (AUC);accuracy;Sensitivity;Specificity;Positive predictive values;Negative predictive values;

Countries

China

Contacts

Public ContactTong Tong

Shanghai Cancer Center, Fudan University

t983352@126.com+86 18017312912

Outcome results

None listed

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