Clinical trial · Interventional
Comparison of the Ultra-low-dose Veo Algorithm With the Gold Standard Filtered Back Projection for Detecting Pulmonary Asbestos-related Conditions
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Asbestos fibers were intensively used throughout the 20th century and remain prevalent in developing countries. However, asbestos exposure induces a variety of benign and malignant pleural and lung diseases. The most common asbestos-induced neoplasm is lung cancer. Moreover, thin-section computed tomography (CT) is more sensitive than a chest x-ray for detecting early asbestos-related conditions. Increased exposure to radiation underpins the consequences of cancer induction. However, reducing CT doses increases image noise from the filtered back projection (FBP) reconstruction. Strategies to reduce radiation exposure include the use of iterative reconstruction algorithms. 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. 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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Asbestos-exposed Workers | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| New algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA) | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- VeoTM
- description
- 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
- interventionNames
- Device: New algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA)
- type
- OTHER
- label
- gold standard FBP model
- description
- 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
- interventionNames
- Device: New algorithm called VeoTM (General Electric Healthcare, Milwaukee, MI, USA)
Primary outcomes (1)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 90 Years
Show eligibility criteria text
Inclusion Criteria: * asbestos-exposed workers * ability to give a written informed consent Exclusion Criteria: * \- previous history of cancer * previous history of thoracic surgery * other interstitial pathology known
References
Publications (1)
- RESULTTekath 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. PMID 24879827