Lung Cancer
Conditions
Brief summary
This project focuses on the development of a precision multi-organ surgical planning model aided by artificial intelligence (AI), computer-aided design (CAD), multi-material 3D printing, and multimodal 3D modeling. The integration of these advanced technologies aims to enhance the accuracy and efficiency of preoperative planning for complex surgical procedures involving multiple organs. By leveraging AI and CAD, the project seeks to create detailed, patient-specific 3D models that incorporate various imaging modalities. These models will be used to guide multi-material 3D printing, producing highly accurate replicas of anatomical structures. The ultimate goal is to improve surgical outcomes by providing surgeons with precise and comprehensive tools for planning and executing intricate surgeries.
Interventions
Utilization of 3D reconstruction technology to assist in preoperative planning and surgical procedures for thoracic surgery patients.
This group did not use 3D reconstruction for surgical navigation
Sponsors
Study design
Eligibility
Inclusion criteria
* Patients diagnosed with lung cancer * Complete clinical case data; * All patients underwent surgical treatment; * Voluntarily participate in the study and sign the informed consent.
Exclusion criteria
* Severe comorbidities, such as uncontrolled heart disease or diabetes * History of major surgeries or other interventions * Unwillingness to participate in the study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Operation Time | During the surgery | Measure the total duration of the surgery in minutes. |
| Blood Loss | During the surgery | Assess the total blood loss during surgery in milliliters. |
| Postoperative Complications | Within 30 days post-surgery | Record any complications within 30 days post-surgery. |
Countries
China