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InvestigatioN of a Smart Probe for Lung lEsion Characterization Using Impedance Technology
The objective of the study is to evaluate the feasibility of the BioSpy System sensor to differentiate tissues that are encountered during bronchoscopic biopsy of endobronchial tumors and peripheral lung nodules and masses.
Study details:
Participants in this study require a lung biopsy to confirm if they have a lung tumour. A biopsy is a procedure where a piece of lung tissue is removed for testing. Current biopsy techniques cannot guarantee the exact location of lung tumours, so biopsies can be taken from healthy tissue.
The BioSpy System (BSS) is a device with a probe, which is placed inside a normal biopsy needle. The tip of the probe contains sensors, that will scan the composition of the tissue which is in contact with the sensors. The INSPECT study aims at collecting the sensor data, with the goal of being able to differentiate the different tissues.
All study participants will have a biopsy with the BSS. Participants will have a hospital visit for the procedure, and will have to stay up to 16 hours after their procedure as per normal hospital practice.
Eligibility criteria
Researchers look for people who fit a certain description, called eligibility criteria. See if you qualify.
Inclusion criteria
Exclusion criteria
Eligibility
Age eligible for study : 18 and older
Healthy volunteers accepted : No
Gender eligible for study: All
Things to know
Study dates
Study start: 2024-03-28
Primary completion: 2025-03-31
Study completion finish: 2025-04-01
Study type
OTHER
Phase
NA
Trial ID
NCT06380361
Intervention or treatment
DEVICE: BioSpy System
Conditions
- • Lung Cancer
Find a site
Closest Location:
Royal Brisbane and Women's Hospital
Research sites nearby
Select from list below to view details:
Royal Brisbane and Women's Hospital
Brisbane, Queensland, Australia
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Participant Group/Arm | Intervention/Treatment |
---|---|
EXPERIMENTAL: All patients will be allocated to the same study arm.
| DEVICE: BioSpy System
|
What is the study measuring?
Primary outcome
Primary Outcome Measure | Primary Outcome Description | Primary Outcome Time Frame |
---|---|---|
The ability of BioSpy System to acquire electrophysiological measurements in the relevant tissues during bronchoscopic biopsy. | This endpoint represents the procedural success rate being defined as the BioSpy System obtaining at least one non-anomalous impedance measurement in the lesion during the procedure. | During the bronchoscopic biopsy procedure |
Secondary outcome
Secondary Outcome Measure | Secondary Outcome Description | Secondary Outcome Time Frame |
---|---|---|
The ability of BioSpy Sysem to differentiate the lesion from healthy tissue | The ability of BioSpy Sysem (BSS) to differentiate the lesion (nodule or mass) from healthy tissue (bronchial tissue, lung parenchyma, ...) by means of the impedance measurements. These impedance measurements of the BSS will be compared to the physician's assessment based on available imaging (visual control, ultrasound, fluoroscopy etc...) for verification. The ability to differentiate tissues will be reported by descriptive statistics. To further assess this secondary endpoint, Machine Learning analysis will be applied. Following standard procedure, features will be extracted from the impedance measurements and used for model inference. | During the bronchoscopic biopsy procedure |
The ability of BioSpy Sysem to differentiate various lesion types | The ability of BioSpy Sysem to differentiate various lesion types such as, but not limited to: * Tumoral tissue * Inflamed tissue * Necrotic tissue * Fibrosis The impedance measurements of BSS in the lesion will be compared to the histopathology analysis of the collected tissue during the biopsy. The ability to differentiate tissues will be reported by descriptive statistics. To further assess this secondary endpoint, Machine Learning analysis will be applied. Following standard procedure, features will be extracted from the impedance measurements and used for model inference. | During the procedure |
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