AI-based Low Dose CBCT Reconstruction for Clinical Application
NCT ID: NCT06831617
Last Updated: 2025-02-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
400 participants
INTERVENTIONAL
2025-03-01
2025-11-30
Brief Summary
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1. Does the AI-based low dose CBCT reconstruction model reconstruct high quality images?
2. Is it possible that low-dose CBCT reconstructed images can guide lung puncture procedures without compromising the efficiency of the procedure? Researchers will compare AI-based low dose CBCT reconstructed images to a placebo (conventional CBCT images) to see if AI-based low dose CBCT reconstructed image can guide lung puncture procedures without compromising the efficiency of the procedure.
Participants will:
1. Undergo lung puncture under AI-based low dose CBCT reconstructed images guidance or under conventional CBCT images
2. Be followed up for 1 week postoperative to obtain patient complications
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
TRIPLE
Study Groups
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AI based CBCT reconstructed images guided lung puncture
Participants in the experimental group undergo AI-based low dose (radiation dose is 1/6th of the dose used in the clinic) CBCT reconstructed images guided lung puncture procedures.
AI-based low dose CBCT reconstructed images system
Participants in the experimental group undergo AI-based low dose (radiation dose is 1/6th of the dose used in the clinic) CBCT reconstructed images guided lung puncture procedures.
Conventional CBCT images guided lung puncture
Participants in the experimental group undergo conventional CBCT images guided lung puncture procedures.
Conventional CBCT images system
Participants in the experimental group undergo conventional CBCT images guided lung puncture procedures.
Interventions
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AI-based low dose CBCT reconstructed images system
Participants in the experimental group undergo AI-based low dose (radiation dose is 1/6th of the dose used in the clinic) CBCT reconstructed images guided lung puncture procedures.
Conventional CBCT images system
Participants in the experimental group undergo conventional CBCT images guided lung puncture procedures.
Eligibility Criteria
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Inclusion Criteria
* Participants whose physical condition is suitable for PLP.
* Participants are willing to sign informed consent.
Exclusion Criteria
* Participants are pregnant or breastfeeding.
* Participants are unwilling or unable to sign informed consent.
18 Years
80 Years
ALL
No
Sponsors
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Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
OTHER
Responsible Party
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Locations
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Wuhan Union Hospital
Wuhan, Hubei, China
Wuhan Union Jinyinhu Hospital
Wuhan, Hubei, China
Wuhan Union West Hospital
Wuhan, Hubei, China
Countries
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Central Contacts
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Facility Contacts
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References
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Zhao H, Xu Z, Chen L, Wu L, Cui Z, Ma J, Sun T, Lei Y, Wang N, Hu H, Tan Y, Lu W, Yang W, Liao K, Teng G, Liang X, Li Y, Feng C, Nie T, Han X, Xiang D, Majoie CBLM, van Zwam WH, van der Lugt A, van der Sluijs PM, van Walsum T, Feng Y, Liu G, Huang Y, Liu W, Kan X, Su R, Zhang W, Wang X, Zheng C. Large-scale pretrained frame generative model enables real-time low-dose DSA imaging: An AI system development and multi-center validation study. Med. 2025 Jan 10;6(1):100497. doi: 10.1016/j.medj.2024.07.025. Epub 2024 Aug 19.
Other Identifiers
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AI guidance-Lung 001
Identifier Type: -
Identifier Source: org_study_id
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