Comparison of the Ultra-low-dose Veo Algorithm With the Gold Standard Filtered Back Projection for Detecting Pulmonary Asbestos-related Conditions
NCT ID: NCT01955018
Last Updated: 2013-10-07
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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COMPLETED
PHASE4
90 participants
INTERVENTIONAL
2012-09-30
2013-05-31
Brief Summary
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The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos. Comparisons included radiation delivered and image quality.
Detailed Description
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In order to perform the two acquisitions without increasing radiation, standard acquisition will be performed with the same kV with mA equal to patient's body weight minus 10. To conserve image quality, 60 mA will be the inferior limit. The other CT parameters will be rotation time 0.5 s and pitch 1.375. Image data will be reconstructed with FBP algorithm.
The Veo acquisition will be performed with constant CT parameters including: a tube voltage of 100 kV, a tube current of 20 mA, pitch of 0.984 and rotation time 0.4 s. Image data will be reconstructed with the Veo algorithm.
Each CT acquisition will be viewed independently by two experienced radiologists (2 to 7 years of experience). The low-dose images with Veo reconstruction will be interpreted before the standard CT and on separate weeks to minimize recall bias. Then, the more experienced radiologist will evaluate the detection and characterization of pleuroparenchymal abnormalities by a second and simultaneous reading of the Veo and FBP acquisitions. Because FBP images are benchmark practice, when a lesion will be found only on Veo images, it will be regarded as a false positive.
The following asbestos-related pleural and parenchymal abnormalities will be recorded as present or absent. Pleural abnormalities considered will be: pleural plaques, diffuse pleural thickening and pleural effusion.
CT features of asbestosis will include subpleural dots and branching opacities, curvilinear subpleural lines, areas of ground glass opacities, septal lines, reticulations and honeycombing.
Presence of nodules will also be recorded. We will note for each abnormality: localization (side, table position) and nature (non-solid, part-solid, solid or calcified).
Conditions
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Keywords
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Study Design
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RANDOMIZED
SINGLE_GROUP
DIAGNOSTIC
SINGLE
Study Groups
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VeoTM
A new algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA) decreases the image noise up to 70% compared with the gold standard FBP model. Moreover, Veo improves spatial resolution with excellent detection of low and high contrast objects from a CT Dose Index (CTDIvol) equal to 0.3 mGy
New algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA)
The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos. Comparisons included radiation delivered and image quality.
gold standard FBP model
The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos. Comparisons included radiation delivered and image quality
New algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA)
The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos. Comparisons included radiation delivered and image quality.
Interventions
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New algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA)
The objective of the present study is to compare Veo with the gold standard FBP for detecting pulmonary asbestos-related conditions among workers previously exposed to asbestos. Comparisons included radiation delivered and image quality.
Eligibility Criteria
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Inclusion Criteria
* ability to give a written informed consent
Exclusion Criteria
* previous history of thoracic surgery
* other interstitial pathology known
18 Years
90 Years
ALL
No
Sponsors
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University Hospital, Clermont-Ferrand
OTHER
Responsible Party
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Principal Investigators
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Frederic DUTHEIL
Role: PRINCIPAL_INVESTIGATOR
University Hospital, Clermont-Ferrand
Locations
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CHU Clermont-Ferrand
Clermont-Ferrand, , France
Countries
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References
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Tekath M, Dutheil F, Bellini R, Roche A, Pereira B, Naughton G, Chamoux A, Michel JL. Comparison of the ultra-low-dose Veo algorithm with the gold standard filtered back projection for detecting pulmonary asbestos-related conditions: a clinical observational study. BMJ Open. 2014 May 30;4(5):e004980. doi: 10.1136/bmjopen-2014-004980.
Other Identifiers
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2012-A00618-35
Identifier Type: -
Identifier Source: secondary_id
CHU-0166
Identifier Type: -
Identifier Source: org_study_id