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Development of a Set of Auxiliary Decision-making System for the Perioperative Period of Hepatectomy Based on Static CT and Artificial Intelligence.

NCT07056270 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2025-07-09

No results posted yet for this study

Summary

The study will prospectively recruit patients with chronic liver disease and liver cancer for static CT scans to establish a high-definition CT database. Combining clinical data and pathological information, artificial intelligence technology will be utilized to construct models for assessing liver function and liver cirrhosis, as well as predicting microvascular invasion (MVI).

Conditions

Interventions

OTHER

static CT scans

Patients with chronic liver disease and liver cancer received static CT scans before hepatectomy to establish a high-definition CT database.

Sponsors & Collaborators

  • Suzhou Institute of Biomedical Engineering and Technology of the Chinese Academy of Sciences

    collaborator UNKNOWN

  • Tongji Hospital

    lead OTHER

Principal Investigators

  • Xiaoping Chen, M.D. · Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-08-31
Primary Completion
2027-08-31
Completion
2028-02-29

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Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07056270 on ClinicalTrials.gov