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Efficacy and Safety of Single-port Surgical Robot System in Thoraic Surgery - Trial NCT06286150

Access comprehensive clinical trial information for NCT06286150 through Pure Global AI's free database. This phase not specified trial is sponsored by The First Affiliated Hospital of Guangzhou Medical University and is currently Recruiting. The study focuses on Lung Cancer. Target enrollment is 20 participants.

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NCT06286150
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Trial Details
ClinicalTrials.gov โ€ข NCT06286150
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Efficacy and Safety of Single-port Surgical Robot System in Thoraic Surgery
Efficacy and Safety of Single-port Surgical Robot System in Thoraic Surgery: A Prospective, Single Center Study

Study Focus

Lung Cancer

Surgical robot system

Interventional

procedure

Sponsor & Location

The First Affiliated Hospital of Guangzhou Medical University

Guangzhou, China

Timeline & Enrollment

N/A

Sep 15, 2023

Jul 15, 2027

20 participants

Primary Outcome

Intraoperative conversion rate,Surgical complications rate

Summary

Robotic surgical systems have become a promising surgical assistance system, with unique
 advantages such as 3D high-definition visual system, highly flexible wrist-jointed
 instruments, and automatic fitering of hand tremors. Robotic surgical systems is applied in
 various fields including urology, general surgery, cardiothoracic surgery, head and neck
 surgery, and gynecology. Currently, the Da Vinci surgical robot system is the most widely
 used robot system globally. However, the Da Vinci robot system for single-port laparoscopic
 surgery has not yet been launched in China. Therefore, the investigators conduct a
 prespective, single-center study to evaluate the efficacy and safety of single-port surgical
 robot system in thoracic surgery.

ICD-10 Classifications

Carcinoma in situ: Bronchus and lung
Secondary malignant neoplasm of lung
Malignant neoplasm of bronchus and lung
Malignant neoplasm: Bronchus or lung, unspecified
Malignant neoplasm: Overlapping lesion of bronchus and lung

Data Source

ClinicalTrials.gov

NCT06286150

Non-Device Trial