ClinicalTrials.gov
public full text
Public Domain
Clinical Trial on the Efficacy and Safety of Biodegradable 3D-Printed Implants in Chest Wall Reconstruction Surgery
This project focuses on patients with chest wall tumors who are expected to have a maximum intraoperative anterolateral chest wall defect diameter of 5-10 cm and require chest wall reconstruction with rib implants. It aims to evaluate the efficacy and safety of biodegradable 3D-printed implants in chest wall reconstruction surgery, providing a superior reconstruction strategy for patients with tumor-induced chest wall defects.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Artificial Intelligence Combined With 3D-Preformed Chest Wall Defection Reconstruction System in Chest Wall Tumor Surgery#830516
- A Study to Evaluate the Utilization of 3D Printed Models in Pre-Operative Planning#867532
- The Innovation of 3D Printing for Preoperative Planning in Hip Preservation Surgery#872555
- Contribution of 3D Printing in Anatomical Lung Segmentectomies.#1086726
- The radioactive 3D-printed template-assisted CT-guided 125I seed implantation for refractory bone metastases: A multicenter retrospective analysis of efficacy, safety, and immune function changes.#174683
Record · ID 853105
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive