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CARF: A Large Scale CT lmage Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation

CARF: A Large Scale CT lmage Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400094858
Enrollment
Unknown
Registered
2024-12-30
Start date
2025-01-01
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

Rectal cancer

Interventions

Gold Standard:The pathological diagnosis results of the same patient serve as the gold standard for the staging of rectal cancer.
Index test:64-slice spiral CT scanner, Prototype System for Intelligent Assisted Diagnosis of Rectal Cancer Staging

Sponsors

The First Affiliated Hospital of Anhui Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. Rectal cancer patients with complete clinical data; 2. No preoperative neoadjuvant chemotherapy; 3. Complete high-resolution rectal CT plain scan and pelvic dynamic enhanced CT scan images; 4. Patients with pathologically confirmed adenocarcinoma.

Exclusion criteria

Exclusion criteria: 1. Unable to provide clinical data, unable to tolerate or refuse surgery; 2. Only received high-resolution rectal CT scan without pelvic dynamic enhanced CT scan, or the CT image quality was poor and artifacts appeared; 3. Descending colon and right colon cancer. ? The tumor located below the level of the levator ANI muscle.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;Positive Predictive Value, PPV;Negative Predictive Value, NPV;Receiver Operating Characteristic Curve, ROC Curve;Area Under the ROC Curve, AUC;

Countries

China

Contacts

Public ContactBingbing Zou

The First Affiliated Hospital of Anhui Medical University

amy0550@163.com+86 138 5519 3519

Outcome results

None listed

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