3D-printed Reconstruction Automated Matching System Predicts Size of Double-lumen Tube: a Prospective Double-blinded Randomized Controlled Trial

Lung Cancer Clinical Trial

Official title: Effect of 3D-printed Reconstruction Automated Matching System in Size Selection of Double-lumen Tube：a Prospective Double-blinded Randomised Controlled Trial

Status Not yet recruiting

Clinical Trial Summary

Lung isolation techniques are commonly used to facilitate surgical exposure and to provide single-lung ventilation for patients. We have developed an automatic comparison software for 3D reconstruction based on CT data (3DRACS). It reconstructs the trachea and bronchus and compares them with the DLT, predicting the most suitable size and depth of the DLT for lung isolation.The aim of this study was to compare whether the use of 3DRACS to select a DLT size compared to conventional empirical selection methods could improve incidence of DLT intubation success and reduce airway injury.

Clinical Trial Description

Lung isolation techniques are commonly used to facilitate surgical exposure and to provide single-lung ventilation for patients undergoing various intra-thoracic procedures. Lung isolation is primarily accomplished with a double-lumen tube (DLT) or bronchial blocker. One published study showed that residents with limited experience had a 40% error rate in accurately placing a DLT. The accurate choice of the size of DLT is a prerequisite for good lung isolation.Currently, There is lack of proper objective criteria for selecting size of DLT. DLT size selection is estimated empirically using the patient's height and sex, and studies have shown that the size of DLT according CT images of the chest is more accurate than experience. we have developed an automatic comparison software for 3D reconstruction based on CT data (3DRACS). It reconstructs the trachea and bronchus and compares them with the DLT, predicting the most suitable size and depth of the DLT for lung isolation. The aim of this study was to compare whether the use of 3DRACS to select a DLT size compared to conventional empirical selection methods could improve incidence of DLT intubation success and reduce airway injury. ;

Related Conditions & MeSH terms

• Lung Cancer
• Lung Diseases
• Tracheal Intubation Morbidity
• Wounds and Injuries

• NCT number: NCT05899270
• Study type: Interventional
• Source: Sichuan Cancer Hospital and Research Institute
• Contact: Xin Wang, master
• Phone: +8685420443
• Email: 675202449@qq.com
• Status: Not yet recruiting
• Phase: N/A
• Start date: November 1, 2023
• Completion date: March 30, 2024