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

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.

Sex

All

Minimum age

18 Years

Maximum age

70 Years

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