Skip to content

Development and validation of an AI-assistive diagnostic system for lymph node metastasis of malignant tumors

Development and validation of an AI-assistive diagnostic system for lymph node metastasis of malignant tumors

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300074289
Enrollment
Unknown
Registered
2023-08-03
Start date
2023-08-03
Completion date
Unknown
Last updated
2023-08-07

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

Conditions

malignant tumors

Interventions

Gold Standard:The common diagnosis of two or more attending pathologists is used as the reference standard for diagnosis, and the immunohistochemical results are used as the diagnostic standard for co
Index test:A diagnostic test of a deep learning-based artificial intelligence system for the detection of lymph node metastasis.

Sponsors

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) Patients who are considered to have malignancies in specific locations based on radiography or biopsy. (2) Patients who have tumor resection and regional lymph nodes dissection. (3) Patients who sign the informed consent. (4) All patients are consecutively enrolled.

Exclusion criteria

Exclusion criteria: (1) Patients who received treatment before operation (including chemotherapy, radiotherapy, targeted therapy, etc.). (2) Patients who ultimately failed to have surgery. (3) The postoperative pathological diagnosis of tumors is not the required histological type.

Design outcomes

Primary

MeasureTime frame
diagnostic accuracy;area under receiver operating curve;sensitivity;specificity;positive predictive value;negative predictive value;

Countries

China

Contacts

Public ContactNie Xiu

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

niexiuyishi@126.com+86 153 3717 7785

Outcome results

None listed

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