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Establishment and clinical application value of an automatic prediction platform for rectal cancer MSI based on radiology

Establishment and clinical application value of an automatic prediction platform for rectal cancer MSI based on radiology

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000029516
Enrollment
Unknown
Registered
2020-02-03
Start date
2020-03-01
Completion date
Unknown
Last updated
2020-02-03

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 postoperative pathological diagnosis was complete
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Sponsors

The Affiliated Hospital of Qingdao University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
19 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Colonoscopy was performed, and the pathological results confirmed the diagnosis of rectal cancer; 2. The patient underwent surgical treatment in our hospital and had complete postoperative pathological results; 3. Preoperative pelvic high resolution MRI was performed in our hospital

Exclusion criteria

Exclusion criteria: 1. Metastasis to other parts of the tumor; 2. Primary tumors in other parts of the body; 3. Previous preoperative neoadjuvant therapy; 4. The lesion cannot be completely removed by surgery;

Design outcomes

Primary

MeasureTime frame
Microsatellite instability;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactLu Yun

The Affiliated Hospital of Qingdao University

cloudylucn@126.com+86 18661802231

Outcome results

None listed

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