Detection and Volumetry of Pulmonary Nodules on Ultra-low Dose Chest CT Scan With Deeplearning Image Reconstruction Algorithm (DLIR)
DLIRTHORAX
1 other identifier
interventional
70
1 country
1
Brief Summary
evaluate the diagnostic performance of ultra-low dose CT using deep learning-based reconstruction in the detection of pulmonary nodules.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jul 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
July 15, 2020
CompletedFirst Posted
Study publicly available on registry
July 22, 2020
CompletedStudy Start
First participant enrolled
July 22, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2023
CompletedMarch 22, 2023
March 1, 2023
1.9 years
July 15, 2020
March 21, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy
The study aimed to investigate the diagnostic accuracy (Sensibility and Specificity) of ultra-low dose CT using DLIR reconstruction for the detection of pulmonary nodules in comparison with the low dose CT reference protocol.
Day 0
Secondary Outcomes (2)
Image quality
Day 0
Pulmonary nodules volume
Day 0
Study Arms (1)
ultra-low dose CT
OTHERAll the examinations are part of the routine care. Addition of the ULD CT protocol does not require injection of contrast agent and does not extend the duration of the examination.
Interventions
All the examinations are part of the routine care. Addition of the ULD CT protocol does not require injection of contrast agent and does not extend the duration of the examination.
Eligibility Criteria
You may qualify if:
- Age ≥ 18 years old,
- Patient referred for non-enhanced chest CT for lung nodule check-up or follow-up,
- Affiliation to a social security program,
- Ability of the subject to understand and express opposition
You may not qualify if:
- Age \<18 years old,
- Person under guardianship or curatorship,
- Pregnant woman,
- Any contraindications to CT
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
CHU Amiens-Picardie
Amiens, 80000, France
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 15, 2020
First Posted
July 22, 2020
Study Start
July 22, 2020
Primary Completion
July 1, 2022
Study Completion
July 1, 2023
Last Updated
March 22, 2023
Record last verified: 2023-03