ClinicalTrials.gov
public full text
Public Domain
Septum-guided Segmentectomy for Deep Early-stage Lung Cancer (SGS2512)
The purpose of this study is to evaluate the safety and effectiveness of a specialized surgical technique called "Septum-guided Segmentectomy" for treating early-stage lung cancer located deep within the lung tissue.Standard surgery for lung cancer often involves removing an entire lung lobe (lobectomy), which can significantly reduce a patient's breathing capacity. For small tumors, removing only a segment of the lung (segmentectomy) can preserve more healthy tissue. However, for tumors located deep in the lung, traditional segmentectomy is technically challenging and risks leaving cancer cells behind.In this study, surgeons will use the natural anatomical boundaries-the intersegmental veins and their surrounding thin membranes (septa)-as a guide to precisely remove the target lung segment. This "septum-guided" approach aims to ensure the cancer is completely removed while maximizing the preservation of healthy lung function.Participants will be followed for 3 years after surgery to monitor for cancer recurrence and assess their long-term recovery.
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
- Coaxial Drainage Versus Standard Chest Tube After Pulmonary Lobectomy#913025
- 3D Lung Reconstructions Using Open-source Software for Lung Cancer Surgery#849134
- Recruitment Maneuvers and PEEP-guided Electrical Impedance Tomography for Abdominal Laparoscopic Surgery Patients#801832
- Measurement of Tracheobronchial Tree Using 3D CT#852640
- Assessment of a New Traction Device in Submucosal Dissection of Colorectal Lesions#1114922
Record · ID 1007250
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