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Bronchoscopy clinical trials

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NCT ID: NCT04884061 Active, not recruiting - Covid19 Clinical Trials

Narrow Band Imaging Bronchoscopy During SARS-CoV2 Infection

SARS-CoV2-NBI
Start date: May 7, 2021
Phase:
Study type: Observational

Vascular modifications have been described during SARS-CoV2 infection, especially a dilatation of the bronchial arteries. Within the airway wall, small branches of the bronchial arteries cross the muscle layer to develop a submucosal network. The Narrow Band Imaging technique is used during bronchoscopy to achieve a maximum contrast of vessels and the surrounding mucosa. Therefore, it enables to observe the microvessel structure and its distribution in the bronchial mucosa. The aim of this study is to describe the vasculature pattern of the bronchial tree during infection with SARS-CoV2.

NCT ID: NCT04230317 Active, not recruiting - Bronchoscopy Clinical Trials

The Feasibility of Low Dose Chest CT for Virtual Bronchoscopy Navigation - Human Study.

Start date: January 20, 2020
Phase: N/A
Study type: Interventional

Advances in medical imaging technology have made it possible to detect patients with small-sized lung lesions early. Generally, invasive methods such as PCNA were used to diagnose peripheral lung nodule. However, Radial probe endobronchial ultrasonography (RP-EBUS) is widely used in the histological diagnosis of peripheral lung nodule in recent years. In order to carry out RP-EBUS, it is necessary to know the path to the lesion to access it. Conventionally, the path to the peripheral lung nodule is identified by the drawing, but recently, the path is reviewed by the virtual bronchoscopy navigation (VBN) which is reconstructed 3-dimension image using the CT data. Currently, VBN is driven by using raw data acquired using standard thin sectioned chest CT protocol, but the problem is that additional doses of radiation are exposed to patients who have initially discovered lung lesions using low dose CT. Therefore, we conduct a randomized controlled trial to verify the suitability of VBN using the raw data acquired by low dose CT.