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Comparative Study on Medical Artificial Intelligence Algorithm Assisted and Conventional Imaging Examination Methods

NCT07040527 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-06-27

No results posted yet for this study

Summary

Chest wall tumors are one of the important diseases in thoracic surgery, and surgery remains the main method for treating this disease in clinical practice. The surgery for chest wall tumors requires extensive resection, and more importantly, precise resection. If the resection range is insufficient, it is easy to cause tumor recurrence and metastasis, which affects the patient's survival; If the resection range is too large, it will cause damage to the chest wall structure, affecting the patient's postoperative recovery and quality of life. At present, the determination of the surgical resection range mainly relies on the experience of the surgeon and the results of imaging examinations. Even if experienced surgeons still have multiple imaging examination results, there are still clinical difficulties of insufficient or excessive resection. Medical artificial intelligence is the in-depth application of artificial intelligence technology in the field of medicine. By processing and analyzing massive amounts of medical data, it can accurately locate tumors and optimize surgical plans. Therefore, it is proposed to compare the clinical effects of surgical resection of chest wall tumors using medical artificial intelligence algorithms and conventional imaging examination methods, in order to understand whether it can achieve more accurate tumor resection.

Conditions

  • Chest Wall Tumor

Sponsors & Collaborators

  • Shanghai Jiao Tong University Affiliated Sixth People's Hospital

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2025-07-30
Completion
2028-12-31

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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 NCT07040527 on ClinicalTrials.gov