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Research on New Diagnosis and Treatment Technologies for Early Lung Cancer

NCT07000721 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 92

Last updated 2025-07-08

No results posted yet for this study

Summary

To verify the clinical effectiveness and safety of the airway tree navigation system constructed by artificial intelligence (AI) in the navigation diagnosis of peripheral pulmonary nodules (PPLs).

Conditions

  • Lung Cancer, Peripheral Pulmonary Nodules

Interventions

DIAGNOSTIC_TEST

Preoperative navigation path planning using the SARS-pro navigation system

The SARS-pro navigation system was used for preoperative navigation path planning for tracheoscopic biopsies in the new navigation system group (patients with suspected lung cancer).

DIAGNOSTIC_TEST

Preoperative navigation path planning using the VBN navigation system

The VBN navigation system was used for preoperative navigation path planning for tracheoscopic biopsies in the old navigation system group (patients with suspected lung cancer).

Sponsors & Collaborators

  • Jisong Zhang

    lead OTHER

Principal Investigators

  • Enguo Chen, MD · Sir Run Run Shaw Hospital

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-08-01
Primary Completion
2024-12-31
Completion
2024-12-31

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07000721 on ClinicalTrials.gov