Effectiveness of Ultra-low-dose Chest CT With AI Based Denoising Solution
NCT ID: NCT05398887
Last Updated: 2022-06-01
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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UNKNOWN
NA
200 participants
INTERVENTIONAL
2022-06-15
2022-10-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
QUADRUPLE
Study Groups
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Low dose Chest CT scan
Underwent low dose chest CT with 30% lower radiation dose
Interventions:
Radiation: Low radiation dose CT Other: Image quality analysis
Low radiation dose CT
Underwent low dose chest CT with 30% lower radiation dose
Ultra low dose CT scan with Artificial Intelligence
Interventions:
Radiation: Low radiation dose CT Image quality Other: Deep-learning based contrast boosting algorithms
Underwent ultra dose chest CT
Underwent ultra dose chest CT with 90% lower radiation dose
Artificial Intelligence based model
Deep-learning based contrast boosting algorithms
Interventions
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Low radiation dose CT
Underwent low dose chest CT with 30% lower radiation dose
Underwent ultra dose chest CT
Underwent ultra dose chest CT with 90% lower radiation dose
Artificial Intelligence based model
Deep-learning based contrast boosting algorithms
Eligibility Criteria
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Inclusion Criteria
* Patients undergoing CT Chest for all purpose
Exclusion Criteria
* Any suspicion of pregnancy
* History of thoracic surgery or placement of the metallic device in the thorax
* An inability to hold respiration during CT
18 Years
ALL
No
Sponsors
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Intermed Hospital
OTHER
Responsible Party
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Bayarbaatar Bold
Principal Investigator, Bayarbaatar Bold, Diagnostic Radiologist, M.D, Intermed Hospital
Principal Investigators
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Khulan Khurelsukh, M.D, MSc
Role: STUDY_CHAIR
Intermed Hospital
Delgerekh Sainjargal, M.D, MSc
Role: PRINCIPAL_INVESTIGATOR
Intermed Hospital
Bayarbaatar Bold, M.D
Role: PRINCIPAL_INVESTIGATOR
Intermed Hospital
Central Contacts
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References
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Health Development Center, WHO. Health Indicators 2019. Mongolian Health Development Center. http://hdc.gov.mn/media/uploads/202108/Eruul_mendiin_uzuulelt_2020.pdf (accessed Feb 14, 2022).
WHO global report. WHO global report on mortality attributable to tobacco. 2012
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Svahn TM, Sjoberg T, Ast JC. Dose estimation of ultra-low-dose chest CT to different sized adult patients. Eur Radiol. 2019 Aug;29(8):4315-4323. doi: 10.1007/s00330-018-5849-5. Epub 2018 Dec 17.
Afadzi M, Fossa K, Andersen HK, Aalokken TM, Martinsen ACT. Image Quality Measured From Ultra-Low Dose Chest Computed Tomography Examination Protocols Using 6 Different Iterative Reconstructions From 4 Vendors, a Phantom Study. J Comput Assist Tomogr. 2020 Jan/Feb;44(1):95-101. doi: 10.1097/RCT.0000000000000947.
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Other Identifiers
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IMC20220515-01
Identifier Type: -
Identifier Source: org_study_id
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