Clinical trial · Observational
The Development and Study of a 3D-Printed Model for Surgical Planning of Lung Cancer with Realistic Subsegmental Boundaries and Complete Tissue Structures
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| 3D Reconstruction Technology | Device | — | UNRESOLVED |
| No 3D reconstruction is used | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- 3D reconstruction
- description
- Patients in this group underwent surgical planning with the aid of 3D reconstruction technology, which included preoperative imaging and 3D modeling to assist in the planning of thoracic surgery.
- interventionNames
- Device: 3D Reconstruction Technology
- label
- Non-3D reconstruction
- description
- Patients in this group underwent traditional surgical planning without the use of 3D reconstruction technology, relying on standard preoperative imaging and planning techniques.
- interventionNames
- Device: No 3D reconstruction is used
Primary outcomes (3)
- measure
- Operation Time
- timeFrame
- During the surgery
- description
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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
References
Publications (0)
Data not yet available