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Application of Mixed Reality Technique for Percutaneous Lung Nodule Localization: A Prospective, Randomized, Controlled Trial — MR  

Lung Cancer Clinical Trial

Official title:
Application of Mixed Reality Technique for Percutaneous Lung Nodule Localization: A Prospective, Randomized, Controlled Trial

Clinical Trial Summary

With the popularization of CT screening, the detection rate of small lung nodules has greatly increased. Therefore, the clinical thoracoscopic lung nodule biopsy and sub-lobectomy for radical resection of lung cancer are greatly required. Accurate resection of lung nodule depends on precise localization of pulmonary nodules. However, preoperative CT-guided Hook- wire positioning under local anesthesia, which is the current primary localization method, requires high equipment and expense, and may cause physical and mental trauma to the patient. Augmented reality (AR) is an innovative technology that superimpose a virtual scene into the real environment by fusing images, videos, or computer-generated models with patients during surgical operations. It can visually display the anatomical structures of organs or lesions, which significantly improves surgical efficiency. This project intends to use AR technology to localize the solitary pulmonary nodule (SPN) before surgery, compared with CT-guided Hook-wire localization. Compared with the localization of SPNs under CT guidance, AR-assisted localization technology apparently is less time-consuming and can be performed immediately before surgery under general anesthesia, lessening pain, reduce costs of time and equipment, increase the success rate of sub-lobectomy, and improve the overall efficiency of surgical treatment of pulmonary nodules.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05715996
Study type Interventional
Source Shanghai Chest Hospital
Contact Xinghua Cheng, MD
Phone +8617701681215
Email chengxinghua_001@163.com
Status Recruiting
Phase N/A
Start date May 23, 2023
Completion date March 2024
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