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

Launched by SHANGHAI JIAO TONG UNIVERSITY AFFILIATED SIXTH PEOPLE'S HOSPITAL · Jun 19, 2025

Keywords

ClinConnect Summary

This clinical trial is studying a new way to help surgeons remove chest wall tumors, which are growths found in the bones and tissues around the chest. Surgery is the main treatment, and it’s very important to remove the tumor completely without taking out too much healthy tissue. If too little is removed, the tumor might come back; if too much is taken out, it can harm the chest and affect recovery. This study will compare the usual imaging methods doctors use to plan surgery with a new approach that uses artificial intelligence (AI) – a type of computer technology – to see if AI can help make tumor removal more accurate and safer.

People aged 18 to 70 with certain types of chest wall tumors who are healthy enough for surgery might be eligible to join. Participants will have their tumor examined using either the AI-assisted method or the traditional imaging to guide the surgery. The goal is to find out if AI can improve the precision of surgery, leading to better outcomes and recovery. If you or a loved one fits these criteria and is interested, the study team will explain everything, and you’ll be asked to give consent before joining.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 18-70 years old, male or female not limited Anesthesia ASA score I-II Malignant tumor of soft tissue in the chest Malignant tumors of ribs, rib cartilage, and sternum Tumors with uncertain or unknown properties of ribs, rib cartilage, and sternum Giant benign tumors of ribs, rib cartilage, and sternum The preoperative examination results indicate that the tumor has not undergone distant metastasis Willing to participate in the research and sign the informed consent form
• Exclusion Criteria:
• • Patients with distant metastasis detected during preoperative examination Inoperable tumor During the examination, it was discovered that the patient had another type of malignant tumor present ECOG 4 Suffering from active or chronic fungal/bacterial/viral infections History of allergy to anesthesia related drugs Heart and lung dysfunction, liver and kidney dysfunction, inability to tolerate surgery Patients with mental disorders who are unable to cooperate with treatment