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Application of deep learning to construct an image-assisted diagnosis model for regional lymph node metastasis in rectal cancer

Application of deep learning to construct an image-assisted diagnosis model for regional lymph node metastasis in rectal cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100054350
Enrollment
Unknown
Registered
2021-12-14
Start date
2021-12-01
Completion date
Unknown
Last updated
2022-11-14

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

Conditions

Rectal cancer

Interventions

Sponsors

Peking University Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Pathological biopsy confirmed rectal cancer; 2. Newly diagnosed patients who have not received antitumor therapy before; 3. Patients undergoing direct surgery receive MRI examination before surgery; 4. Radical surgical resection was performed in our hospital.

Exclusion criteria

Exclusion criteria: 1. History of other malignant tumors or combined with other malignant tumors; 2. Due to the presence of distant metastasis, or the patient cannot undergo surgical resection due to personal reasons; 3. Preoperative MRI images are missing or cannot be measured; 4. The pathological data are incomplete, and there is a lack of lymph node diagnostic information.

Design outcomes

Primary

MeasureTime frame
lymph node status;

Countries

China

Contacts

Public ContactSun Yingshi

Peking University Cancer Hospital

sunysabc@163.com+86 10 88196822

Outcome results

None listed

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