Continuing Evaluation of the LungPoint ATV System
- Conditions
- Lung Cancer
- Interventions
- Device: LungPoint ATV System
- Registration Number
- NCT02130128
- Lead Sponsor
- Broncus Medical Inc
- Brief Summary
The purpose of this study is to evaluate the safety and performance of the LungPoint ATV System in patients who are scheduled for standard bronchoscopy to diagnose highly suspicious lung cancer.
- Detailed Description
The LungPoint ATV System is an image-guided navigation system used to access tissue samples in the lungs. This feasibility study is being conducted to assess the safety and yield of the LungPoint ATV System in patients who are scheduled for standard bronchoscopy to diagnose highly suspicious lung cancer. Navigation to and sampling of the patient's lung cancer tumor is conducted.
Recruitment & Eligibility
- Status
- TERMINATED
- Sex
- All
- Target Recruitment
- 6
- Surgical candidates age 21-75 years at screening
- Highly suspicious SPN, defined as distinct nodule with a diameter of 10-30 mm in its largest dimension
- No known endobronchial tumor
- Tumor located anywhere in parenchymal tissue >1 cm from pleura and accessible bronchoscopically through a POE.
- Willing to participate in all aspects of study protocol for duration of study
- Able to understand study requirements
- Signs study-related informed consent document
- Any contraindication to bronchoscopy, for example: (a.) Untreatable life-threatening arrhythmias, (b.) Inability to adequately oxygenate the patient during the procedure, (c.) Acute respiratory failure with hypercapnia (unless the patient is intubated and ventilated), (d.) Recent myocardial infarction, (e.) Previously diagnosed high-grade tracheal obstruction, (f.) Uncorrectable coagulopathy.
- Known coagulopathy
- Platelet dysfunction or platelet count < 100 x 103 cells/mm3
- History of major bleeding with bronchoscopy
- Pulmonary hypertension with mean PAP >25 mm
- Moderate-to-severe pulmonary fibrosis
- Moderate to severe emphysema or COPD with FEV1 <60% predicted or RV >200% predicted
- Bullae >5 cm located in vicinity of target SPN or ATV tunnel
- Any other severe or life-threatening comorbidity that could increase the risk of bronchoscopic biopsy or ATV tunneling, for example: (a.) ASA class > 3, (b.) > stage 3 heart failure, (c.) severe cachexia, (d.) severe respiratory insufficiency or hypoxia
- Ongoing systemic infection
- Contraindication to general anesthesia
- Chronic use of anticoagulants (e.g., heparin, Warfarin) or antiplatelet agents (e.g. aspirin, clopidogrel)
- Participation in any other study in last 30 days
- Prior thoracic surgery on the same side of the lung as the SPN
- Breastfeeding women or females of childbearing potential with a positive pregnancy test prior to the procedure or the intent to become pregnant during the study.
- Life expectancy of less than one year.
- Patients with known intrapulmonary metastases of extrapulmonary cancer/tumors
- Scheduled for lung surgery within 7 days post-scheduled diagnostic bronchoscopy
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Navigation and tissue sampling LungPoint ATV System Guided bronchoscopic navigation and lung tissue sampling using the LungPoint ATV System
- Primary Outcome Measures
Name Time Method Number of serious adverse events Up to 24 hours post procedure The number of serious adverse events (SAEs) rated as probably or definitely related to the study device and/or procedure divided by the number of patients in whom an attempt at study device use was made. This study protocol focuses specifically on sub-chronic pneumothorax, but will also track hemoptysis.
- Secondary Outcome Measures
Name Time Method Proportion of biopsies yielding tissue sufficient for diagnosis Upon asssessment of histology of tissue sample taken during procedure The number of nodules with at least one biopsy sufficient for a tissue diagnosis divided by the number of nodules sampled by the LP ATV System.
Trial Locations
- Locations (1)
Thoraxklinik
🇩🇪Heidelberg, Germany