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Application of artificial intelligence software in assisting junior radiologists to diagnose liver post-treatment lesions

Application of artificial intelligence software in assisting junior radiologists to diagnose liver post-treatment lesions

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600124918
Enrollment
Unknown
Registered
2026-05-19
Start date
2025-01-01
Completion date
Unknown
Last updated
2026-05-25

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

Conditions

primary liver tumor or liver metastases

Interventions

Gold Standard:The diagnostic results of MRI images by experienced senior radiologists
Index test:Junior radiologists, AI software, and junior radiologists assisted by AI software assessment

Sponsors

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

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients with gastrointestinal tumors undergoing radical tumor resection and intraoperative placement of 5-FU implantable sustained-release agents (Group A) or patients with liver tumors undergoing ablation treatment (Group B); 2. Patients undergoing postoperative liver MRI examination

Exclusion criteria

Exclusion criteria: 1.Surgery is not performed in our center; 2.Postoperative liver MRI images could not be obtained; 3.Postoperative liver MRI image quality is poor;

Design outcomes

Primary

MeasureTime frame
The 5 point of malignancy degree of lesions;Sensitivity, specificity, positive predictive value, negative predictive value, accuracy;

Countries

China

Contacts

Public ContactShen Yaqi

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

yqshen@hust.edu.cn+86 27 8366 3738

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 30, 2026