The Development and Study of a 3D-Printed Model for Surgical Planning of Lung Cancer with Realistic Subsegmental Boundaries and Complete Tissue Structures

The Development and Study of a 3D-Printed Model for Surgical Planning of Lung Cancer with Realistic Subsegmental Boundaries and Complete Tissue Structures

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.

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