The Feasibility of Low Dose Chest CT for Virtual Bronchoscopy Navigation - Human Study.
1 other identifier
interventional
180
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2020
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 5, 2020
CompletedFirst Posted
Study publicly available on registry
January 18, 2020
CompletedStudy Start
First participant enrolled
January 20, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2021
CompletedJuly 20, 2020
July 1, 2020
1.4 years
January 5, 2020
July 16, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Concordance rate of VBN simulation results
Concordance rate comparing the VBN result driven based on raw data acquired with low dose CTs taken with three different protocols compared to the VBN result driven based on raw data obtained with standard protocol CT.
From CT scan to VBN drive (an average of 1 week)
Study Arms (2)
Low dose chest CT simulation
EXPERIMENTALVBN result driven using raw data acquired with low dose CTs taken with three different protocols
Standard protocol chest CT simulation
ACTIVE COMPARATORVBN result driven using raw data acquired with standard protocol CT
Interventions
Low dose CT taken with three different protocols
Eligibility Criteria
You may qualify if:
- Patients older than 18 years
- Competent to give informed consent
- Patients requiring a pathological diagnosis of pulmonary nodules using RP-EBUS.
- Patients who need chest CT before RP-EBUS.
You may not qualify if:
- Pregnancy
- Patients who could not receive chest CT
- Inability to obtain informed consent
- Patients unable to perform RP-EBUS
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Pusan National University Hospital
Busan, 602-739, South Korea
Related Publications (1)
Kim I, Lee G, Eom JS, Ahn HY, Kim A. Feasibility of low dose chest CT for virtual bronchoscopy navigation in a porcine model. Respir Res. 2019 Jul 8;20(1):142. doi: 10.1186/s12931-019-1109-8.
PMID: 31286968BACKGROUND
Study Officials
- STUDY CHAIR
Jung Seop Eom
Pusan university hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- CARE PROVIDER, OUTCOMES ASSESSOR
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 5, 2020
First Posted
January 18, 2020
Study Start
January 20, 2020
Primary Completion
June 30, 2021
Study Completion
December 30, 2021
Last Updated
July 20, 2020
Record last verified: 2020-07
Data Sharing
- IPD Sharing
- Will not share